ALBERT

Notes: A semantic link peer-to-peer (P2P) network specifies and manages semantic relationships between peers' data schemas and can be used as the semantic layer of a scalable Knowledge Grid. The proposed approach consists of an automatic semantic link discovery method, a tool for building and maintaining P2P semantic link networks (P2PSLNs), a semantic-based peer similarity measurement for efficient query routing, and the schema mapping algorithms for query reformulation and heterogeneous data integration. The proposed approach has three important aspects. First, it uses semantic links to enrich the relationships between peers' data schemas. Second, it considers not only nodes but also the XML structure in measuring the similarity between schemas to efficiently and accurately forward queries to relevant peers. Third, it copes with semantic and structural heterogeneity and data inconsistency so that peers can exchange and translate heterogeneous information within a uniform view.

Notes: Currently, the most efficient algorithm for inference with a probabilistic network builds upon a triangulation of a network's graph. In this paper, we show that pre-processing can help in finding good triangulations for probabilistic networks, that is, triangulations with a maximum clique size as small as possible. We provide a set of rules for stepwise reducing a graph, without losing optimality. This reduction allows us to solve the triangulation problem on a smaller graph. From the smaller graph's triangulation, a triangulation of the original graph is obtained by reversing the reduction steps. Our experimental results show that the graphs of some well-known real-life probabilistic networks can be triangulated optimally just by preprocessing; for other networks, huge reductions in their graph's size are obtained.

Notes: This paper addresses the question of allocating computational resources among a set of algorithms to achieve the best performance on scheduling problems. Our primary motivation in addressing this problem is to reduce the expertise needed to apply optimization technology. Therefore, we investigate algorithm control techniques that make decisions based only on observations of the improvement in solution quality achieved by each algorithm. We call our approach “low knowledge” since it does not rely on complex prediction models, either of the problem domain or of algorithm behavior. We show that a low-knowledge approach results in a system that achieves significantly better performance than all of the pure algorithms without requiring additional human expertise. Furthermore the low-knowledge approach achieves performance equivalent to a perfect high-knowledge classification approach.

Notes: Over the years we have developed the Disciple theory, methodology, and family of tools for building knowledge-based agents. This approach consists of developing an agent shell that can be taught directly by a subject matter expert in a way that resembles how the expert would teach a human apprentice when solving problems in cooperation. This paper presents the most recent version of the Disciple approach and its implementation in the Disciple–RKF (rapid knowledge formation) system. Disciple–RKF is based on mixed-initiative problem solving, where the expert solves the more creative parts of the problem and the agent solves the more routine ones, integrated teaching and learning, where the agent helps the expert to teach it, by asking relevant questions, and the expert helps the agent to learn, by providing examples, hints, and explanations, and multistrategy learning, where the agent integrates multiple learning strategies, such as learning from examples, learning from explanations, and learning by analogy, to learn from the expert how to solve problems. Disciple–RKF has been applied to build learning and reasoning agents for military center of gravity analysis, which are used in several courses at the US Army War College.

Notes: The paper describes a system that can automatically generate tree adjoining grammars from abstract specifications. Our system is based on the use of tree descriptions to specify a grammar by separately defining pieces of tree structure that encode independent syntactic principles. Various individual specifications are then combined to form the elementary trees of the grammar. The system enables efficient development and maintenance of a grammar, and also allows underlying linguistic constructions (such as wh-movement) to be expressed explicitly. We have carefully designed our system to be as language independent as possible and tested its performance by constructing both English and Chinese grammars, with significant reductions in grammar development time. Provably consistent abstract specifications for different languages also offer unique opportunities for investigating how languages relate to themselves and to each other. For instance, the impact of a linguistic structure such as wh-movement can be traced from its specification to the descriptions that it combines with, to its actual realization in trees. By focusing on syntactic properties at a higher level, our approach allowed a unique comparison of our English and Chinese grammars.

Notes: In this paper we propose a distributed knowledge management framework for semantics and knowledge creation, population, and reuse on the grid. Its objective is to evolve the Grid toward the Semantic Grid with the ultimate purpose of facilitating problem solving in e-Science. The framework uses ontology as the conceptual backbone and adopts the service-oriented computing paradigm for information- and knowledge-level computation. We further present a semantics-based approach to problem solving, which exploits the rich semantic information of grid resource descriptions for resource discovery, instantiation, and composition. The framework and approach has been applied to a UK e-Science project—Grid Enabled Engineering Design Search and Optimisation in Engineering (GEODISE). An ontology-enabled problem solving environment (PSE) has been developed in GEODISE to leverage the semantic content of GEODISE resources and the Semantic Grid infrastructure for engineering design. Implementation and initial experimental results are reported.

Notes: The expressive power of XML Declarative Description (XDD), a unified XML-based representation language for the Knowledge Grid, is enhanced by a well-defined mechanism for modeling arbitrary XML first-order logical constraints (FLCs)—a special kind of constraints comprising XML expressions and logical symbols. The resulting knowledge representation can uniformly express explicit and implicit information, ontologies, axioms as well as integrity, structural and FLCs. It facilitates direct use of ordinary XML elements as its basic language component and semantic units, and formally defines XML clauses for modeling advanced complex statements. It achieves sound, efficient, and flexible computation or inference by means of the Equivalent Transformation (ET) paradigm—a new computational model based on semantic preserving transformations. Basic ET computational rules for reasoning with XDD descriptions with FLCs are also presented. Due to its well-founded mechanism and expressiveness, employment of the proposed representation and computation framework to model a knowledge grid and its services not only enables direct representation of knowledge bases described by such emerging Semantic Web ontology languages as RDF(S) and OWL, but also offers additional descriptive facilities by allowing expression of and reasoning with rules, relationships, and constraints. Moreover, in order to provide machine-interpretable descriptions of knowledge grid services, standard service description languages, e.g., WSDL, UDDI, OWL-S and WSMO are employed and extended with facilities to define additional service relationships, constraints, and composition rules.

Notes: The paper addresses the problem of finding a compact representation of the diagnoses within a model-based approach to diagnosis. To this end, we introduce the notion of scenario, a special kind of CNF formula over the component variables, which can be used to encode a large number of diagnoses using the same amount of space needed for encoding just a single diagnosis. We show how the solutions to a diagnostic problem can be computed as sets of scenarios by presenting first an exhaustive algorithm and then an efficient algorithm, which exploits probabilistic information to restrict the result set to preferred scenarios. Finally, we discuss the issue of how to efficiently extract preferred diagnoses from sets of scenarios and characterize a class of system models for which our techniques perform particularly well. Concepts and algorithms introduced in the paper have been tested within the prototype of the diagnostic agent of a space robotic arm; resulting statistics are reported and critically discussed.

Notes: Abstract: For the past three decades or so the flexible flow shop (FFS) scheduling problem has attracted many researchers. Numerous research articles have been published on this topic. This study reviews research on the FFS scheduling problem from the past and the present. The solution approaches reviewed range from the optimum to heuristics and to artificial intelligence search techniques. I not only discuss the details from the selected methods and compare them, but also provide insights and suggestions for future research.

Notes: Abstract: The ship design process is a highly data-oriented, dynamic, iterative and multi-stage algorithm. It utilizes multiple abstraction levels and concurrent engineering techniques. Specialized techniques for knowledge acquisition, knowledge representation and reasoning must be developed to solve these problems for a ship design expert system. Consequently, very few attempts have been made to model the ship design process using an expert system approach. The current work investigates a knowledge representation–reasoning technique for such a purpose. A knowledge-based conceptual design was developed by utilizing a prototype approach and hierarchical decompositioning. An expert system program called ALDES (accommodation layout design expert system) was developed by using the CLIPS expert system shell and an object-oriented user interface. The reasoning and knowledge representation methods of ALDES are explained in the paper. An application of the method is given for the general arrangement design of a containership.

Notes: Abstract: An intriguing recent development is the vogue for formal documentation of the processes and procedures allegedly followed by an organization. The Author examines the possible drawbacks of such an approach, and discusses possible explanations for its present ubiquity.

Notes: Abstract: It is estimated that 4.6 billion tons of non-hazardous solid waste materials are produced annually in the USA. The potential reuse for a portion of the materials in the construction of highways and roads suggests that valuable benefits in terms of economic and environmental gains are possible. This paper describes the development of a prototype computer-assisted tool or expert system to help manufacturers assess and analyze their industrial residuals as potential road construction material. This represents an expansion in the application of intelligent systems to domains where a few, hard-to-find technical reports have represented the main source of expertise available to practitioners for years. The system, developed through the use of an object-oriented software shell, Level5 Object, was designed in a user-friendly Windows environment which allows users with little or no computer training to effectively evaluate material residuals.

Notes: Abstract: We present a new architecture of a diagnostic system composed of an associative memory with feedback connections. This new architecture requires limited computer resources, it is fast, and it can run on small computers. The diagnostic process is described by a deduction system that performs an abductive inference. The abductive inference itself is explained by the verbal category theory. We model both processes by an associative memory that performs the inference with the aid of the feedback connections. The represented knowledge is arranged in groups that define taxonomy. An embedded diagnostic system for the determination of a disorder with applications in modern industrial machines is presented.

Notes: Abstract: To cope with the requirements of high dimensional accuracy for injection molding components, it is important to optimize the process parameters in order to sustain the high level dimensional quality of the molded parts. In this respect, a study in the domain of process optimization is of paramount importance in terms of determining the optimal set of injection molding parameters. To this end, a methodology to establish an integrated model which consists of both fuzzy logic reasoning and a genetic algorithm is proposed. These two artificial intelligence techniques can complement each other to form an integrated model which capitalizes on the merits and at the same time offsets the pitfalls of the involved technologies. To validate the feasibility of the proposed model, a case study related to injection molding optimization is also covered in this paper.

Notes: Abstract: This paper considers an application of decision aiding for maritime operations, viz the design of an intelligent operator aid for dynamic route planning. The limitations of some existing methods are discussed and an Al approach is proposed that combines algorithmic and heuristic processing elements within an embedded system. The aid consists of three elements: a intelligent front end, a route planner and an explanation facility.

Notes: Abstract: Recent developments in a subarea of computer science called artificial intelligence have included the creation of expert systems that are capable of solving difficult applications problems which require expert knowledge for their solution. Such expert systems have been found to be useful in a number of applications (e.g. medicine, biochemistry and mineral exploration). In this paper the author presents an expert system for solving problems concerning income and transfer tax planning for individuals In developing this system, a theoretical structure and a set of decision rules were specified and then programmed into a rule-based system that had previously been used for medical diagnosis (Mycin [1]) Once the system was developed, its problem-solving capabilities were refined and verified by a panel of tax experts using a blind verification procedure. This verification step demonstrated that an expert system could be developed in that domain.

Notes: Abstract: The purpose of this paper is to design an expert system or an intelligent procedure' that purports to screen hazard potentials of environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analysing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals An analysis of a computerised database of known carcinogens (knowledge base) is being performed using the structure-activity trees in order to test the validity of the tree as a classification scheme (inference engine) and to evaluate trends or patterns that may exist between chemical structure and specificity for target tissue, route of administration, and animal species. Practical applications of the structure-activity tree depend on its eventual validation as a predictor of carcinogenic activity.

Notes: Abstract: Activities concerning expert systems in Japan are outlined. Expert systems are receiving increasing attention in Japan, together with fifth-generation computers. Rather than describing the details of individual systems, a variety of expert systems are briefly introduced with their aims and features.

Notes: Abstract: Analysis of the job shop scheduling domain has indicated that the crux of the scheduling problem is the determination and satisfaction of a large variety of constraints. Schedules are influenced by such diverse and conflicting factors as due date requirements, cost restrictions, production levels, machine capabilities and substitutability, alternative production processes, order characteristics, resource requirements, and resource availability. This paper describes ISIS, a scheduling system capable of incorporating all relevant constraints in the construction of job shop schedules. We examine both the representation of constraints within ISIS, and the manner in which these constraints are used in conducting a constraint-directed search for an acceptable schedule. The important issues relating to the relaxation of constraints are addressed. Finally, the interactive scheduling facilities provided by ISIS are considered.

Notes: Abstract: Log interpretation science is a controversial and rapidly changing domain. Designing interpretation models is a highly experimental process which involves trials with a computer program as an integral part of the design. Therefore conventional software engineering techniques, which require a complete specification of the problem before the program is written, are often not applicable or fail to produce high quality software. The development of expert systems has provided the techniques, tools, and capabilities to let us seek alternate methods to produce log interpretation software: exploratory programming environments and automatic programming systems. An exploratory programming environment combines the power of interactive graphics and programming tools to merge the design and programming tasks into a single process where model and program develop together. An automatic programming system will embody the knowledge of the programming process and of some log interpretation heuristics to produce log processing programs from interactive specifications expressed in familiar terms. These facilities will allow log interpretation model designers, who are non-computer specialists, to produce high quality software as the end result of a model design.

Notes: Abstract: An optimal online learning algorithm of a wavelet neural network is proposed. The algorithm provides not only the tuning of synaptic weights in real time, but also the tuning of dilation and translation factors of daughter wavelets. The algorithm has both tracking and smoothing properties, so the wavelet networks trained with this algorithm can be efficiently used for prediction, filtering, compression and classification of various non-stationary noisy signals.

Notes: Abstract: Owing to rapidly changing customer needs and much shorter product life cycles, for developing a successful product it is imperative to employ more efficient and flexible approaches for product conceptualization. To meet this demand, a Web-enabled product definition and customization system (PDCS) is proposed, from a design-knowledge-handling viewpoint, in this paper. It comprises two phases, namely product definition based on the laddering technique and a novel design knowledge hierarchy, and product customization based on an integrated methodology of conjoint analysis and Kohonen association techniques. Basically, this system is a method of conducting design decision-making via customer involvement, i.e. a strategy for transforming customer preference into a specific product concept. A case study on wood golf club design is used to illustrate and validate the proposed Web-enabled PDCS.

Notes: Abstract: This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online. In the first tuning method, fuzzy logic at the supervisory level readjusts the three PID gains during the system operation. In the second tuning method, fuzzy logic only readjusts the proportional PID gain, and the corresponding integral and derivative gains are readjusted using the Ziegler–Nichols tuning method while the system is in operation. For the compositional rule of inferences in the fuzzy PID and the self-organizing fuzzy PID schemes two new approaches are introduced: the min implication function with the mean of maxima defuzzification method, and the max-product implication function with the centre of gravity defuzzification method. The fuzzy PID controller, the self-organizing fuzzy PID controller and the PID controller are all applied to a non-linear revolute-joint robot arm for step input and path tracking experiments using computer simulation. For the step input and path tracking experiments, the novel self-organizing fuzzy PID controller produces a better output response than the fuzzy PID controller; and in turn both controllers exhibit better process output than the PID controller.

Notes: Abstract: Customer retention is a critical issue for the survival of any business in today's competitive marketplace. In this paper, we propose a dynamic procedure utilizing self-organizing maps and a Markov process for detecting and preventing customer defection that uses data of past and current customer behavior. The basic concept originates from empirical observations that identified that a customer has a tendency to change behavior (i.e. trim-out usage volumes) before eventual withdrawal and defection. Our explanatory model predicts when potential defectors are likely to withdraw. Two strategies are suggested to respond to the question of where to lead potential defectors for the next stage, based on anticipating when the potential defector will leave. Our model predicts potential defectors with little deterioration of prediction accuracy compared with that of the multilayer perceptron neural network and decision trees. Moreover, it performs reasonably well in a controlled experiment using an online game.

Notes: Abstract: Logistics service providers are professionals who serve clients such as manufacturers, raw material suppliers, distributors, retailers and shippers within the supply chain. Traditionally, the formulation of logistics strategies to execute various logistics services has been based solely on experience. In this paper, an intelligent case-based logistics strategy system (CLSS) is designed to help logistics service providers to develop strategies under various customers' demands. The proposed system, which is suitable for use in warehouse operations in the Hong Kong/Pearl River Delta region, enhances the effectiveness of logistics strategies formulations by integrating case-based reasoning technology seamlessly with various data management software such as a data warehouse, on-line analytical processing and a multidimensional database management system. Through applying CLSS in Eastern Worldwide Company, the resource utilization is maximized while work efficiency is greatly enhanced. As a result, the overall logistics operations are smoothened significantly.

Notes: Abstract: Understanding and adapting to changes in customer behavior is an important aspect for survival in a continuously changing environment. This paper develops a methodology based on decision tree analysis to detect the change in classified customer segments automatically between two data sets collected over time. We first define three types of changes as the emerging pattern, the unexpected change and the added/perished rule. Then, similarity and difference measures are developed for rule matching to detect all types of change. Finally, the degree of change is developed to evaluate the amount of change. Our suggested methodology based on decision tree analysis in the change detection problem can be used in more structured situations in which the manager has a specific research question and it also detects the change of classification criteria in a dynamically changing environment. A Korean Internet shopping mall case is evaluated to represent the performance of our suggested methodology, and practical business implications for this methodology are also provided. We believe that the change detection problem and the suggested methodology will become increasingly important as more data mining applications are implemented.

Notes: Abstract: Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significantly higher than in the other class. Several authors have tackled this problem by developing cost-sensitive decision tree learning algorithms or have suggested ways of changing the distribution of training examples to bias the decision tree learning process so as to take account of costs. A prerequisite for applying such algorithms is the availability of costs of misclassification. Although this may be possible for some applications, obtaining reasonable estimates of costs of misclassification is not easy in the area of safety.This paper presents a new algorithm for applications where the cost of misclassifications cannot be quantified, although the cost of misclassification in one class is known to be significantly higher than in another class. The algorithm utilizes linear discriminant analysis to identify oblique relationships between continuous attributes and then carries out an appropriate modification to ensure that the resulting tree errs on the side of safety. The algorithm is evaluated with respect to one of the best known cost-sensitive algorithms (ICET), a well-known oblique decision tree algorithm (OC1) and an algorithm that utilizes robust linear programming.

Notes: Abstract: Although sorting techniques (e.g. card sorts) are widely used in knowledge acquisition and requirements acquisition, they have received little formal attention compared to related techniques such as repertory grids and laddering. This paper briefly describes the main sorting techniques, and then provides a detailed tutorial on one variety (repeated single-criterion sorts), using a worked example. Guidelines for choice and sequencing of techniques are given, both in relation to varieties of sorting technique and in relation to other techniques. It is concluded that the sorting techniques are a valuable part of the elicitor's methodological toolkit.

Notes: Abstract: Among the knowledge elicitation techniques card sorting is notable for its simplicity of use, its focus on subjects' terminology (rather than that of external experts) and its ability to elicit semi-tacit knowledge. Card sorting involves categorizing a set of pictures, objects or labelled cards into distinct groups using a single criterion. This paper focuses on the challenges associated with analyzing the data that result from card sorts, especially when large data sets are generated. Traditional semantic analysis methods that require direct researcher interpretation of elicited linguistic terms are distinguished from methods that are purely syntactic, and hence can be automated. Each paper within this special issue is summarized and its contribution to card sorting in general, and data analysis in particular, is highlighted. The set of novel computational techniques presented in several of the papers in this issue is examined. The paper concludes by noting that even large-scale data sets can be meaningfully analysed by combining well-known interpretative methods with the new computational approaches presented within this special issue.

Notes: Abstract: Web page design guidelines produce a pressure towards uniformity; excessive uniformity lays a Web page designer open to accusations of plagiarism. In the past, assessment of similarity between visual products such as Web pages has involved an uncomfortably high degree of subjectivity. This paper describes a method for measuring perceived similarity of visual products which avoids previous problems with subjectivity, and which makes it possible to pool results from respondents without the need for intermediate coding. This method is based on co-occurrence matrices derived from card sorts. It can also be applied to other areas of software development, such as systems analysis and market research.

Notes: Abstract: Picture sorts were used to investigate perceptions of women's office clothes, with a sample of ten male and ten female subjects who normally worked in an office environment. The pictures on the cards were taken from catalogues, and showed women's outfits which might be worn in an office. The subjects sorted the cards repeatedly and generated criteria and categories of their own choice. Some of the criteria and categories had not been previously reported in the clothing research literature. Over half of the male subjects, but none of the female subjects, used ‘married/unmarried woman’ as a sorting criterion, although only one of the images sorted showed a wedding ring. A significantly higher proportion of male than of female subjects used dichotomous categorization (i.e. sorting the cards into two piles for one or more of the criteria). The reasons for this are obscure, but do not appear to be a simple outcome of males not knowing much about female clothing. Previous research into clothing has tended to involve researcher-centred approaches such as semiotics; the results from this study suggest that there would be advantages in wider use of subject-centred approaches such as card sorts, both in this domain and elsewhere. It was concluded that card sorts were a useful method and should be more widely used.

Notes: Abstract: Card sorts are a knowledge elicitation technique in which participants are given a collection of items and are asked to partition them into groups based on their own criteria. Information about the participant's knowledge structure is inferred from the groups formed and the names used to describe the groups through various methods ranging from simple quantitative statistical measures (e.g. co-occurrence frequencies) to complex qualitative methods (e.g. content analysis on the group names). This paper introduces a new technique for analyzing card sort data that uses quantitative measures to discover rich qualitative results. This method is based upon a distance metric between sorts that allows one to measure the similarity of groupings and then look for clusters of closely related sorts across individuals. By using software for computing these clusters, it is possible to identify common concepts across individuals, despite the use of different terminology.

Notes: Abstract: Card sorts can be used to study the way human subjects acquire and organize conceptual knowledge. Analyses of card sorts often involve subjective examination of criteria or category names or using clustering techniques, neither of which lend themselves well to direct statistical analysis. This paper defines NMST, a quantitative measure of knowledge discrimination based on repeated, single-criterion card sorts that is independent of criteria or category names and that is particularly amenable to statistical analysis. The NMST measure is illustrated by applying it to a particular data set collected in a large multinational card sort study of subjects, where the knowledge area comes from a first-year programming course. Applied to this data set, the NMST measure is shown to distinguish, with statistical significance, between a set of subjects with only an introduction to programming and a set of subjects who have completed the equivalent of a bachelor's degree or higher in a computing-related discipline.

Notes: Abstract: This paper presents a case study of the use of a repeated single-criterion card sort with an unusually large, diverse participant group. The study, whose goal was to elicit novice programmers' knowledge of programming concepts, involved over 20 researchers from four continents and 276 participants drawn from 20 different institutions. In this paper we present the design of the study and the unexpected result that there were few discernible systematic differences in the population. The study was one of the activities of the National Science Foundation funded Bootstrapping Research in Computer Science Education project (2003).

Notes: Abstract: This paper describes a multi-institutional study that used a repeated single-criterion card sort to investigate graduating computer science students' knowledge of programming concepts. The study seeks to improve computer science instruction by gaining insight into how graduating students retain and assimilate introductory programming knowledge into their broader understanding of the discipline. A total of 291 card sorts was elicited from 65 undergraduate students in their final year of study at eight colleges and universities throughout the USA. To fully exploit the rich qualitative and quantitative aspects of the card sort data, an integrative analysis process was used that combined content analysis with two measures, normalized minimum spanning tree and edit distance, both developed specifically to analyze card sort data.

Notes: Abstract: Administrative knowledge or office knowledge is the knowledge used in conjunction with the support operations in an organization. Systems managing this knowledge are referred to as extended office systems (EOSs). EOSs will be used to support knowledge exchanges in organizations. The types of knowledge handled by EOSs are illustrated and their characteristics are highlighted. Based on these characteristics, a formalism is proposed, which utilizes structural and descriptive links to achieve an extensible, open-ended representation. A prototype system using the representation and incorporating approximately 200 items of knowledge has been developed and can answer questions about a software engineering company.

Notes: Abstract: In this study a wavelet-based neural network model, employing the multilayer perceptron, is presented for the detection of electrocardiographic changes in patients with partial epilepsy. Decision making is performed in two stages: feature extraction using the wavelet transform, and multilayer perceptron neural networks (MLPNNs) trained with the backpropagation, delta-bar-delta, extended delta-bar-delta and quick propagation algorithms as classifiers. The classification results, the values of statistical parameters and performance evaluation parameters of the MLPNNs trained with different algorithms are compared. Two types of electrocardiogram beats (normal and partial epilepsy) obtained from the MIT-BIH database were classified with accuracy varying from 90.00% to 97.50% by the MLPNNs trained with different algorithms.

Notes: The TAC 2003 supply-chain game presented automated trading agents with a challenging strategic problem. Embedded within a high-dimensional stochastic environment was a pivotal strategic decision about initial procurement of components. Early evidence suggested that the entrant field was headed toward a self-destructive, mutually unprofitable equilibrium. Our agent, Deep Maize, introduced a preemptive strategy designed to neutralize aggressive procurement, perturbing the field to a more profitable equilibrium; it worked. Not only did preemption improve Deep Maize's profitability, it improved profitability for the whole field. Whereas it is perhaps counterintuitive that action designed to prevent others from achieving their goals actually helps them, strategic analysis employing an empirical game-theoretic methodology verifies and provides insight about this outcome.

Notes: The ability for a given agent to adapt on-line to better interact with another agent is a difficult and important problem. This problem becomes even more difficult when the agent to interact with is a human, because humans learn quickly and behave nondeterministically. In this paper, we present a novel method whereby an agent can incrementally learn to predict the actions of another agent (even a human), and thereby can learn to better interact with that agent. We take a case-based approach, where the behavior of the other agent is learned in the form of state–action pairs. We generalize these cases either through continuous k-nearest neighbor, or a modified bounded minimax search. Through our case studies, our technique is empirically shown to require little storage, learn very quickly, and be fast and robust in practice. It can accurately predict actions several steps into the future. Our case studies include interactive virtual environments involving mixtures of synthetic agents and humans, with cooperative and/or competitive relationships.

Notes: This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community.

Notes: Adaptive automated planning systems that can, over time, improve the quality of plans they produce are a promising prospect. The first part of the article discusses the issues involved in designing quality improving learning for planning systems and reviews recent work on learning to improve plan quality. The second part describes our work on the Performance Improving Planning (PIP) System. The heart of PIP is an analytic technique that compares two planning episodes for solving a planning problem that led to two different quality solutions—a higher-quality solution and a lower quality solution—and identifies the critical differences that were responsible for the resulting differences in the quality of the completed plans. We compare the effectiveness of two different ways of storing and applying the knowledge learned from this analysis—as search-control rules and as rewrite rules. The results show that the search-control rules are more effective in improving plan quality. Further analysis of PIP-search-control—the version of PIP that stores the learned knowledge as search-control rules—shows that it is an effective technique for improving plan quality in a variety of situations.

Notes: This paper examines the potential and the impact of introducing learning capabilities into autonomous agents that make decisions at run-time about which mechanism to exploit to coordinate their activities. Specifically, our motivating hypothesis is that to deal with dynamic and unpredictable environments it is important to have agents that learn the right situations in which to attempt coordination, and the right coordination method to use in those situations. In particular, the efficacy of learning is evaluated when agents have varying types and amounts of information when those coordinating decisions are taken. This hypothesis is evaluated empirically, in a grid-world scenario in which (a) an agent's predictions about the other agents in the environment are approximately correct and (b) an agent cannot correctly predict the others' behavior. The results presented show when, where and why learning is effective when it comes to making a decision about selecting a coordination mechanism.

Notes: The next generation Web Intelligence (WI) aims at enabling users to go beyond the existing online information search and knowledge queries functionalities and to gain, from the Web, practical wisdom for problem solving. To support such a Wisdom Web, we envision that a grid-like computing infrastructure with intelligent service agencies is needed, where these agencies can interact, self-organize, learn, and evolve their course of actions, identities, and interrelationships for new knowledge creation, as well as scientific and social evolution. In this paper, we first provide an overview of recent development in WI and Semantic/Knowledge Grid. Then, the fundamental capabilities of the Wisdom Web as well as the conceptual architecture of an intelligent Grid for supporting it are described. Technical challenges for realizing Grid Intelligence are highlighted and the recent advancements in related research areas are reviewed.

Notes: A great challenge in developing planning systems for practical applications is the difficulty of acquiring the domain information needed to guide such systems. This paper describes a way to learn some of that knowledge. More specifically, the following points are discussed. (1) We introduce a theoretical basis for formally defining algorithms that learn preconditions for Hierarchical Task Network (HTN) methods. (2) We describe Candidate Elimination Method Learner (CaMeL), a supervised, eager, and incremental learning process for preconditions of HTN methods. We state and prove theorems about CaMeL's soundness, completeness, and convergence properties. (3) We present empirical results about CaMeL's convergence under various conditions. Among other things, CaMeL converges the fastest on the preconditions of the HTN methods that are needed the most often. Thus CaMeL's output can be useful even before it has fully converged.

Notes: Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning methods to directly modify an agent's execution knowledge. These systems are robust in dynamic and complex environments but generally do not support planning or the pursuit of multiple goals. In contrast, symbolic theory revision systems learn declarative planning knowledge that allows them to pursue multiple goals in large state spaces, but these approaches are generally only applicable to fully sensed, deterministic environments with no exogenous events. This research investigates the hypothesis that by limiting an agent to procedural access to symbolic planning knowledge, the agent can combine the powerful, knowledge-intensive learning performance of the theory revision systems with the robust performance in complex environments of the reinforcement learners. The system, IMPROV, uses an expressive knowledge representation so that it can learn complex actions that produce conditional or sequential effects over time. By developing learning methods that only require limited procedural access to the agent's knowledge, IMPROV's learning remains tractable as the agent's knowledge is scaled to large problems. IMPROV learns to correct operator precondition and effect knowledge in complex environments that include such properties as noise, multiple agents and time-critical tasks, and demonstrates a general learning method that can be easily strengthened through the addition of many different kinds of knowledge.

Notes: This paper describes Eureka, a problem-solving architecture that operates under strong constraints on its memory and processes. Most significantly, Eureka does not assume free access to its entire long-term memory. That is, failures in problem solving may arise not only from missing knowledge, but from the (possibly temporary) inability to retrieve appropriate existing knowledge from memory. Additionally, the architecture does not include systematic backtracking to recover from fruitless search paths. These constraints significantly impact Eureka's design. Humans are also subject to such constraints, but are able to overcome them to solve problems effectively. In Eureka's design, we have attempted to minimize the number of additional architectural commitments, while staying faithful to the memory constraints. Even under such minimal commitments, Eureka provides a qualitative account of the primary types of learning reported in the literature on human problem solving. Further commitments to the architecture would refine the details in the model, but the approach we have taken de-emphasizes highly detailed modeling to get at general root causes of the observed regularities. Making minimal additional commitments to Eureka's design strengthens the case that many regularities in human learning and problem solving are entailments of the need to handle imperfect memory.

Notes: One of the most promising trends in Domain-Independent AI Planning, nowadays, is state-space heuristic planning. The planners of this category construct general but efficient heuristic functions, which are used as a guide to traverse the state space either in a forward or in a backward direction. Although specific problems may favor one or the other direction, there is no clear evidence why any of them should be generally preferred. This paper presents Hybrid-AcE, a domain-independent planning system that combines search in both directions utilizing a complex criterion that monitors the progress of the search, to switch between them. Hybrid AcE embodies two powerful domain-independent heuristic functions extending one of the AcE planning systems. Moreover, the system is equipped with a fact-ordering technique and two methods for problem simplification that limit the search space and guide the algorithm to the most promising states. The bi-directional system has been tested on a variety of problems adopted from the AIPS planning competitions with quite promising results.

Notes: E-science is about global collaboration in key areas of science such as cognitive science and brain science, and the next generation of infrastructure such as the Wisdom Web and Knowledge Grids. As a case study, we investigate human multiperception mechanism by cooperatively using various psychological experiments, physiological measurements, and data mining techniques for developing artificial systems which match human ability in specific aspects. In particular, we observe fMRI (functional magnetic resonance imaging) and EEG (electroencephalogram) brain activations from the viewpoint of peculiarity oriented mining and propose a way of peculiarity oriented mining for knowledge discovery in multiple human brain data. Based on such experience and needs, we concentrate on the architectural aspect of a brain-informatics portal from the perspective of the Wisdom Web and Knowledge Grids. We describe how to build a data-mining grid on the Wisdom Web for multiaspect human brain data analysis. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis toward a holistic view at a long-term, global field of vision.

Notes: In this paper, we propose a feature-based Korean grammar utilizing the learned constraint rules in order to improve parsing efficiency. The proposed grammar consists of feature structures, feature operations, and constraint rules; and it has the following characteristics. First, a feature structure includes several features to express useful linguistic information for Korean parsing. Second, a feature operation generating a new feature structure is restricted to the binary-branching form which can deal with Korean properties such as variable word order and constituent ellipsis. Third, constraint rules improve efficiency by preventing feature operations from generating spurious feature structures. Moreover, these rules are learned from a Korean treebank by a decision tree learning algorithm. The experimental results show that the feature-based Korean grammar can reduce the number of candidates by a third of candidates at most and it runs 1.5 ∼ 2 times faster than a CFG on a statistical parser.

Notes: Purpose - One of the greatest challenges facing any intelligent tutoring system is being able to adapt its behaviour based on the student's current knowledge level, ability, needs and wishes within a course. This paper aims to present a framework of BDI agents within an agent-based intelligent tutoring system (ABITS). Design/methodology/approach - A conceptual discussion approach is taken. Findings - The agents provide the core reasoning ability. In particular, the paper demonstrates how the system sources and refines a particular set of commonly available data. Also shows how these data are incorporated into the agents' belief set so that they may adapt their behaviour to support individual students. Originality/value - Provides a framework that can improve learning procedures for future users of ABITS.

Notes: Purpose - Aims to investigate reactions to online delivery, student perceptions of the rates and depth of participation, and levels of engagement with the learning process in a Western Australian University. Design/methodology/approach - The sample for this study comprised 108 students who were enrolled in both undergraduate and postgraduate programs. An interpretative method was adopted using a case study approach, with groups of internal and external students within one education department. This method was more appropriate than a more quantitative approach. Findings - The results indicated that, while the students were technically competent overall, issues associated with equity and access varied between the groups and also between students enrolled in the same units. The sample had also re-conceptualised the notion of "personal" which moved beyond simple physical proximity to enable the students to create their own community of learners. Originality/value - Addresses the challenge for universities and instructional designers on how to increase the level and depth of interactivity in the online environment to further empower students to become independent learners.

Notes: Purpose - With a philosophical stance in relation to education, this paper aims to discuss different understandings of participation in an information and communication technology (ICT)-supported distance-based teacher education program in Sweden. Design/methodology/approach - The paper is based on early results from two studies, both of which involved a group of teacher-trainees, with one interview and one questionnaire. Findings - The findings indicate that there is a need to be explicit about the ontological assumptions inherent in the intended use of ICT. The conclusion is that the program in question is built on assumptions of realism and that ICT lays the ground for individual participation and works to tell the students apart. Originality/value - Helps in understanding how ICT, and its use, can have different effects on different groups.

Notes: Purpose - This report seeks to address the preliminary findings from a large-scale study of the different ways in which the asynchronous discussion forum (ADF) is being used in the online learning environment. Design/methodology/approach - A conceptual approach is taken. Findings - The structural and functional variation of the ADF is depicted within a framework of institutional and instructional models. Epistemological distinctions are made with respect to the role of the instructor, student requirements, and the assessment of student learning. Originality/value - The paper brings to light fundamental aspects of instructional quality and best practices involving the use of the ADF.

Notes: Purpose - The aim of this work is to implement bootstrapping methods into software tools, based on Java. Design/methodology/approach - This paper presents a category of software e-tools aimed at simulating laboratory works and experiments. Findings - Both students and teaching staff use traditional statistical methods to infer the truth from sample data gathered in laboratory experiments. However, the repeated laboratory experiments mean the consumption of a great deal of substances and reactants. At the same time, there are some ethically motivated reasons to reduce the number of animals used in experimentation. Using a bootstrapping tool and computer power, the experimenter can repeat the original experiment on computer, obtaining pseudo-data as plausible as those obtained from the original experiment. Originality/value - Provides data on implementing bootstrapping methods into software e-tools, simulating laboratory experiments in didactic and research activities.

Notes: Purpose - The purpose of this paper is to explore both accessibility and usability and examine the inhibitors and methods to evaluate site accessibility. Design techniques which improve end-user access and site interactivity, demonstrated by practical examples, are also studied. Design/methodology/approach - Assesses various web sites for accessibility and usability. Findings - Criteria are determined by which to assess accessibility and usability of web sites. Originality/value - Disability is an important consideration in the development of contemporary web sites. By understanding the needs of all users, not only those with disabilities, organisations may begin the process of advancing both accessibility and usability and integrating these elements into their web development strategies.

Notes: Purpose - This study was conducted to examine how proficiencies, motivation, and training impact the success of faculty development for web-based instruction (WBI) at historically Black colleges and universities (HBCUs) in the USA. Design/methodology/approach - Data in this mixed-design exploratory study came from responses to an online questionnaire and follow-up interviews. Seven four-year public HBCUs that offered online curricula and provided faculty development opportunities in various forms such as workshops and seminars were examined. Findings - The results of the study indicated that faculty were proficient in basic technologies, but less proficient in more demanding technologies; provision of incentives such as time off to attend training was motivating for WBI participation; and faculty preferred individualized training and workshops. Research limitations/implications - Successful faculty development is as a complex process that involves several integrated components which should be viewed as an intentional, ongoing, and systemic process. Nonetheless, it plays an important role, particularly if programs are available to help faculty link effective delivery in their own teaching and research areas. Practical implications - Meaningful faculty development should be extendable to all instruction, whether in-class, web-based, or web-enhanced. Faculty development opportunities extending beyond the basic uses of technology and seeking connections between curriculum, pedagogy, technology, and administration to technology success is paramount. Originality/value - Feedback from this study can serve as a resource for decision-making about WBI projects. The results of the study should provide data and information that supports the technological mission of institutions.

Notes: Purpose - To provide administrators at an Australian university with data on the feasibility of redirecting under-utilised computer laboratories facilities into a distributed high performance computing facility. Design/methodology/approach - The individual log-in records for each computer located in the computer laboratories at the university were investigated. The log-in data were investigated over a 24-hour/seven day a week period between June 2001 and August 2003. The data were analysed in terms of student access to the computer facilities during "normal" business hours, weekend times, and the semester breaks. Findings - The computer laboratories were hugely under-utilised, with less than 10 per cent of all log-ins occurring during off peak times (7 pm-8 am). Similarly, only weekends were likewise under-utilised. This strongly suggests that this spare computer capacity could be used for alternate means during these times. Research limitations/implications - Future research needs to determine whether the needs of the general computer laboratory user who requires a stable and secure system can coexist with the users of a high performance computer facility where different software and differently configured computer systems are required. Practical implications - This research has the potential for universities to utilise more effectively their computer laboratory resources by allocating under-utilised resources into other projects, such as to a high performance computing facility (HPCF). The cost of these re-allocated resources would be a fraction of the cost compared to a scenario in which a separate dedicated HPCF had to be provided. Originality/value - This paper suggests an alternate utilisation of the spare computing laboratory resources available at many universities.

Notes: Purpose - Aims to outline the issues and debates about a five-week fully online staff development programme piloted in the University of Paisley, Scotland. Design/methodology/approach - A case study was the approach taken. Findings - The programme was designed to introduce lecturers to the theoretical and pedagogical issues surrounding online tutoring, while allowing them to get to grips with the delivery technology. The programme also provided academic staff with the opportunity to explore their attitudes towards using Computer-Mediated Communications (CMC) in their teaching and to reflect on how they could utilise it to enhance their face-to-face teaching activities. Staff found the programme challenging but they also appreciated the opportunity to take part. Some reported feeling much more confident about using the technology. Originality/value - Provides information on a programme designed to introduce face-to-face lecturers to the theoretical and pedagogical issues surrounding online tutoring while allowing them to become familiar with the technology.

Notes: Purpose - To determine what factors influence faculty's decisions to use technology in their classes, what factors prevent them from use, and whether there are differences among faculty by gender, ethnicity, rank, sub-areas, etc. in using instructional technology. Design/methodology/approach - A survey instrument was used to measure attitudes toward technology among accounting educators. The instrument included three separate sections. The first section was devoted to examining factors that could influence faculty's opinion to use technology for teaching. The second section focused on issues that could possibly discourage faculty from use of technology. For these two sections a five-point Likert scale was developed with possible responses ranging from "not important" to "critically important". The third and final section was designed to provide demographic information for classification purposes and testing of the research questions. Findings - The results demonstrate that while accounting faculty value technology greatly and do use it in teaching, significant differences exist in their views toward it. Several factors were found to influence faculty's attitudes toward integration of technology. Conversely, there are other factors that tend to hamper widespread integration. Research limitations/implications - The research was conducted among US accounting faculty, which perhaps limits its usefulness elsewhere or in other disciplines Practical implications - University-sponsored incentive programs and financial support could encourage faculty to further incorporate technology and its various dimensions in their classes. Furthermore, administrators should make the necessary arrangements for faculty to attend training seminars designed to provide them with technical support. Originality/value - This study provides empirical evidence that is useful to both faculty and administrators in integrating technology in education.

Notes: Purpose - The purpose of this paper is to explore behavioral processes involved in internet technology acceptance and use with a sample in India, a developing country that can potentially benefit from greater participation in the web economy. Design/methodology/approach - User experience was incorporated into the technology acceptance model (TAM) and the theory of planned behaviour (TPB) to predict intentions to use the internet as well as self-reported usage. Data were collected from 269 college students with a questionnaire methodology. Hierarchical multiple regression analysis was applied to test each theory, as well as user experience, and the variables' interactive effects on the criterion of internet usage intentions. Findings - Both TAM and TPB were supported in their predictions of internet use intentions and usage. Although a main effect for user experience did not emerge, it did significantly interact with components of both theoretical models, suggesting that it has a complex influence on internet user intentions. Research limitations/implications - The self-report criteria are a limitation. Future research should employ more objective measures of internet use. Also, antecedents of internet use might be explored in other developing economies. Practical implications - To encourage internet usage intentions, it appears worthwhile to create in potential users a sense that the technology is useful, easy to use, and that others have expectations regarding its usage. Originality/value - Findings suggest that theories of technology acceptance developed in the Western world may also apply in India.

Notes: Purpose - This paper aims to describe the process and the outcome of a situation in which a professor of anatomy and physiology made supplemental use of a course management system (CMS) to assist with the instruction of 242 students. The purpose of this instructor's use of WebCT was to: increase student autonomy and improve access to information; improve student learning and achievement through the expert use of student "Self-Tests", which are an ungraded, interactive tutoring/quizzing feature; create a more active, student-centered learning environment. Design/methodology/approach - Features that were provided in the WebCT site include: student self-tests are ungraded, but act as a basic form of expert system or informative tutor by providing very specific feedback to answers students selected in this multiple choice experience. The feedback to each question was designed by the instructor, who advised students to use the system as a tutor by clicking on a variety of possible answers to gather new information. Comments on answers were designed to demonstrate to the student the "way of thinking" of a professional in the field. Current grade information for individual students. Schedule-related information on labs, due dates, etc. syllabus lecture audio. Findings - Findings suggest that the implementation of the WebCT self-tests contributed to the substantial increase in student test scores. Research limitations/implications - The implications are very exciting and far-reaching in that - through a fairly unobtrusive course re-design - the use of a CMS yielded a measurable improvement in student achievement. Practical implications - The use of these expert-system-like self-tests, gradebooks, and other CMS features has the potential to improve teaching and learning in all manner of courses, including those that are on-ground, blended, and fully online. Originality/value - This paper uses concrete data to demonstrate how a course management system was used to re-design traditional courses and how this re-design resulted in improved student achievement.

Notes: Purpose - To expose engineering students to using modern technologies, such as multimedia packages, to learn, visualize and solve engineering problems, such as in mechanics dynamics. Design/methodology/approach - A multimedia problem-solving prototype package is developed to help students solve an engineering problem in a step-by-step approach. A learning architecture model for developing an interactive technology-assisted problem solving (TAPS) package for visualizing engineering concepts has been discussed. Findings - The learning model was found to be easy to follow and use and the engineering package can be designed in an easy and visually appealing format. The TAPS package implemented and described in this paper could support and provide students with a better understanding of the basic concepts in an engineering mechanics dynamics course in particular. Research limitations/implications - The evaluation of the TAPS package materials comprised mainly quantitative methods which provided validation of the package approach for the acquisition of procedural skills and related basic concepts. More work is necessary to employ qualitative approaches for more detailed analysis of usability of particular materials of the TAPS package. Originality/value - The main originality of the paper can be seen from the development of the package that guides the student intelligently to solve the selected engineering problem. In addition, important user tools are also included which the user may need to use if necessary.

Notes: Purpose - Sets out to investigate the use of electronic resources by students and faculty of Ashesi University, Ghana, in order to determine the level of use, the type of information accessed and the effectiveness of the library's communication tools for information research. Design/methodology/approach - A questionnaire-based survey was utilized. It consisted of 16 questions to determine level of use, type of information accessed, assessment of library's communication tools, problems encountered when using electronic resources and ways to improve the provision of electronic information in the community. The questionnaire was distributed to all students, faculty and administrative staff in order to reduce the generalization of the results. The students were made up of four year groups categorized as YearGroupA, YearGroupB, YearGroupC, YearGroupD. The questionnaire was pre-tested on six students from three different year groups and some amendments were made. A total of 169 questionnaires were therefore distributed and 141 completed questionnaires were returned, giving an overall response rate of 83 per cent. Survey responses were coded and input into Excel for analysis. Findings - The study found that general computer usage for information access was high because of the University's state-of-the art IT infrastructure. Usage of some internet resources were also very high, whilst the use of scholarly databases was quite low. The low patronage was attributed to inadequate information about the existence of these library resources. The study recommends, among others, the introduction of information competency across the curriculum and/or the introduction of a one-unit course to be taught at all levels and the provision of more PCs on campus. Originality/value - Would be of value to library administrators considering how to determine level of use, type of information accessed, assessment of library's communication tools, problems encountered when using electronic resources and ways to improve the provision of electronic information.

Notes: Purpose - To discuss the considerable impact of video gaming on young players' decision-making and teamworking skills, and the belief that video games provide an invaluable "training camp" for business. Design/methodology/approach - An interview with John Beck, the author of the book Got Game: How a New Generation of Gamers Is Reshaping Business Forever, published by Harvard Business School Press in 2004. Findings - Emphasizes that most businesses are failing to recognize and capitalize on these skills. Predicts the shape and style of leadership in the future and suggests how businesses, and particularly "baby boomer" managers, can best begin to bridge the generation gap to unlock and build on the unprecedented strategic abilities of new, young employees. Originality/value - Offers the view that business and management training should recognize the skills and abilities of the gamer generation.

Notes: Purpose - Aims to examine a negotiation-oriented and partly web-based game "Surfing Global Change" (SGC) invented by the author based on didactics of self-managed learning and successfully implemented in WebCT. Design/methodology/approach - Along three historic generations of web-based teaching (WBT), the key functionalities of any platform (content, discussion and evaluation) are perceived to be utilized in a characteristic way depending on the prevalent didactic concepts. The changing roles of teacher and students are highlighted using the example of SGC Level 3, where students assess one another's competence, each trying to outdo the others in controversial arguments Findings - The outlay of Surfing Global Change aims at accomplishing sustainable results for complex themes. Thus SGC sets out to weigh out competition vs consensus, self-study vs team work, emphasizing one's own standpoint vs readiness to compromise, differentiation into details vs integration into a whole. SGC hence wants to mirror professional realities along five interactive game levels: learn content and pass quizzes; write and reflect a personal standpoint; win with a team in a competitive discussion; negotiate a complex consensus between teams; integrate views when recognizing and analyzing global long-term trends. Research limitations/implications - Some interactive assessment functionalities are still missing in current platforms. Practical implications - In advanced university courses the negotiation game SGC was repeatedly used as a procedural shell for interdisciplinary themes. Originality/value - The paper shows that a "communicative space" is created by utilising mainstream web platform technology, capable of transposing visions of "progressive education". The definition of three generations of WBT allows for a functional differentiation in the styles of using web-based tools.

Notes: Purpose - This study seeks to describe the planning and implementation in Finland of a campus-wide management information system using a rigorous planning methodology. Design/methodology/approach - The structure of the management information system is planned on the basis of the management process, where strategic management and the balanced scorecard approach have important roles. Findings - The balanced scorecard approach is useful not only in accomplishing the objectives, measures and targets of the institutional strategy but also in the planning of the management information system. Practical implications - The findings of the study are useful for educational administrators, project managers, software developers and usability specialists. Originality/value - This study contributes to the knowledge and practice of campus-wide information systems applying the balanced scorecard approach as a basis for the management information system to translate the strategy into action.

Notes: Purpose - To show how a combination of hard and soft project and change management methodologies guided successful in-house development of a campus-wide information system. Design/methodology/approach - A case study of the methodologies and management structures that guided the development is presented. Findings - Applying a combination of the dynamic systems development method, rapid prototyping, PRINCE 2, Checkland's soft systems methodologies and change management helped to develop a product that met user needs, offered value for money and was delivered on time. Practical implications - The case study shows that the advantages of formal governance brought by PRINCE 2 can be retained in a softer environment where user needs generate work packages and stage gates. Originality/value - There is widespread evidence that more than half of all IT projects fail and that the softer people issues are essential for success. The paper presents an example of fusing softer approaches with formal governance. It should interest programme and project managers, senior sponsors, software developers and usability specialists.

Notes: Purpose - The purpose of this paper is to study the impact of a web-based constructivist learning environment, which was developed based on a course given to students in the Faculty of Creative Multimedia (FCM) on student learning. Design/methodology/approach - In this paper, a web-based multimedia-mediated project was developed based on an Internet Applications course where students were taught to use specific web authoring tools to solve a web-related problem. The mode of learning was geared towards a student-centred, constructivist learning perspective where students were active learners, worked in a group environment and constructed knowledge and understanding in their learning process. An online survey was given to the students to assess their reactions towards this learning environment. Findings - The results obtained were positive and satisfactory. In this learning process, students were able to understand the problem, work collaboratively, construct their own solutions, and determine their own learning outcomes. Feedback on the online survey provided further support of the students' positive attitudes towards this learning environment. Research limitations/implications - The implications of this research study are that students found that the web-based learning environment allowed them to be more active participants in their learning process, increasing their critical and creative thinking skills as well as improving their problem-solving skills. They learned "how to learn" and developed several learning skills such as communication, teamwork, collaboration and presentation, as well as achieving ownership of these learning outcomes. The use of multimedia- and web-based tools for their project allowed them to be innovative in their presentations, making the project more fun for them. Practical implications - This research provides educators with an innovative approach to teaching with technology, and students with a more effective learning environment. Originality/value - This paper fulfils Malaysia's MSC initiative to include ICT in the classroom teaching environment and to focus on learner-centred teaching and learning strategies. This constructivist-based learning environment also enabled students to build their problem-solving and collaborative skills as well as their creative and critical thinking abilities in order to meet the rising demands of twenty-first century organisations.

Notes: Purpose - This paper reports a study conducted longitudinally to investigate group communication media choice and the use of a web-based learning tool, as well as other types of communication media, such as e-mail, telephone, and face-to-face, for communication and collaboration to complete given tasks. Design/methodology/approach - This study was designed following the case study research methodology and design of Yin. Longitudinal observation was made on groups in their naturalistic research setting. Twenty-three groups of four or five students working on five similar tasks were selected as the unit of analysis. Findings - The findings showed that groups' choice-making process of communication media evolved over a period of time. A pattern of group communication emerged, namely face-to-face, virtual, and mixed (the use of both face-to-face and virtual communication). The three group communication categories were significantly different in performance, with the mixed category performing the highest in terms of grade. Research limitations/implications - The limitations of this study are related to the case study methodology and the subjectivity of some interpretations. Practical implications - The findings should assist in the design of both on-campus and distance learning course modules to facilitate learning through group project or assignment. The findings should also assist the design and implementation of the e-learning systems and tools that are acceptable to users. Originality/value - The study provides insight into how such ICT applications can be made useful and effective, and why, when given the freedom to choose, the use of a web-based tool is the least attempted for communication.

Notes: Purpose - To discuss how Hong Kong university libraries can help young professors and PhD students publish their articles in SCI (Science Citation Index) and SSCI (Social Science Citation Index) journals. Design/methodology/approach - With reference to the opinions of experts on how to publish work successfully, this paper provides practical advice for university libraries in Hong Kong. Findings - After collecting the opinions of experts and browsing the web sites of many university libraries throughout the world, suggests that Hong Kong universities can offer a variety of services in supporting research. The university libraries may build up electronic resources to gather more research information and journals information for helping young professors and PhD students publish their works. Practical implications - To provide very useful and practical advice for Hong Kong university libraries when facing the new challenge in support of research. Originality/value - During recent years, the Hong Kong universities have been facing budget cuts from the government, and have been placed under the pressure of transforming into centers of excellence and establishing themselves among the best in the world. This paper offers practical help to Hong Kong university libraries such as how to play an active and important role in providing a greater support service for young professors and PhD students that will help in the development of their academic careers.

Notes: Purpose - Seeks to show that the software development process is based on the premise to provide an enhanced e-learning environment by supporting individual learning styles and preferences through the use of emerging adaptive technologies that also enable performance evaluation in the context of meeting agreed learning outcomes. Design/methodology/approach - The design methodology adopts a case study approach that follows the design and implementation of a learner management system. Findings - Web-based intelligent tutoring systems, aimed at compensating for the absence of a real world tutor have to date mostly concentrated on providing assistance in a particular subject domain and not focused on the problem of utilising content represented as learning objects across multi-subject domains. This paper describes the creation of a non-dictatorial tutoring system that has been developed at NTP Information Solutions Ltd. A visualisation tool has bee4n created called "learning navigator" to help learners to visualise the best path through assignable units extracted from a learning repository. Practical implications - The system is currently able to suggest new paths that take into account learning styles through learner performance, learner previous experience and learning objectives. Future work will include extending this criterion to take into account further individual learning preferences. Originality/value - The sharable content objects (SCOs) approach to the software solution extends the internationally recognised SCORM development standards. As a consequence the paper contributes to international e-learning standards development but also extends current knowledge of the role of adaptive technologies in supporting learning styles and preferences.

Notes: Purpose - The purpose of this paper is to present a management tool that helps to achieve the objectives of the plan for info-tech systems and communications of the University of Las Palmas de Gran Canaria for the 2003-2006 period. Design/methodology/approach - The methodology used in this case is nothing if not practical. The chosen tool involved university members who put it into practice and the results were observed. Findings - Finds that a practical instrument, which appeals to the users' real needs, can overcome their objections to change and their apprehension of technological innovation. Research limitations/implications - As in all individual case studies - and this is no exception - the methodology chosen circumscribes to some extent the research and its results, which therefore cannot be automatically applied generally elsewhere. Practical implications - Users' interests are paramount and preparation of the technology involved must be given the utmost attention over a considerable period of time. Originality/value - University members have here a user-friendly means of effecting e-administration simply and easily.

Notes: Purpose - To examine whether students have higher retention rates of material when they participate in online quizzes or online alternative student-centered assignments on the material presented in the F2F class. Design/methodology/approach - Reviews the literature; and analyzes data from the implementation of both types of assessment for the online sessions of the course (student-centered and faculty-centered) as correlated with mid-term and final examination scores. Findings - A significant difference was found on both mid-term and final examination scores by participants and non-participants in the assessments. A significant difference was not found in the participation levels in the various assessment types. In addition, a minimal relationship was found between the assessment type and the act of participating in the assessment. The assessment type was not found to have a significant effect, though the participation in the assessment type did have an effect. Research limitations/implications - Only two terms' worth of students, in one course, were examined. The assessments were not analyzed for equivalence in their coverage of the materials. Further research is needed on types of activities and level of participation, types of participation and level of learning, and participation scale grade rather than a yes/no method, are correlated. Practical implications - Provides a very useful source of information, guidance, and support for instructors considering the use of online assessments in their hybrid courses. Originality/value - This paper fulfils an identified need in the usage of alternative assessments and offers practical help to faculty teaching a theatre arts hybrid class.

Notes: Purpose - Investigating the social structure in online courses helps in designing for and facilitating student support and retention. Aims to provide data showing how course design and use of social software technologies provided social and collaborative learning opportunities for online students. Design/methodology/approach - A study of computer-mediated groups that utilized social media technologies and a web-based collaborative model in an online program. Participants were put into groups and observed as they constructed knowledge using both online dialogue (synchronous and asynchronous) and social media technologies as tools to support their learning. Findings - The integration of web-based learning communities and collaborative group assignments into the course design has a positive influence on student retention in online courses. Research limitations/implications - The research was limited to the online student population at Pepperdine University, and did not include data or research from similar online programs at other universities. Future research should include data collected from students outside the USA to find out what role cultural mores, attitudes, and gender play. Practical implications - Provides curriculum design strategies that foster community, utilize social/ participatory media, and support online student learning and retention through effective course design. Originality/value - Current research on distance learning curriculum has focused on the instructor's perspective. It is felt that research from the student's perspective can also yield some valuable insights for online course design.