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  • Articles  (67,853)
  • 2000-2004  (58,040)
  • 1955-1959  (9,813)
  • Computer Science  (67,853)
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  • 1
    Electronic Resource
    Electronic Resource
    Neural network analysis and the characteristics of market sentiment in the financial markets (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: The properties of a modular neural network system designed to forecast movements of the long gilt futures contract are examnined. The examination illustrates that diagnostic measures can effectively inform end-users of the system when appropriately to switch modules given the likelihood of the degradation of forecasts. The modelling is based upon periods of market sentiment, and the inductive data models encapsulated, within the modules of the neural network system, are investigated. The models track, and also provide knowledge of , underlying market characteristics in different periods of market sentiment. The research provides deductions concerning the (dis-)similarity of underlying characteristics in differing periods of market sentiment.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00141
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Diagnostic expert systems: a method for engineering knowledge used in sequential diagnosis (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: The paper presents a method for helping knowledge engineers in modelling the knowledge involved in sequential diagnosis. In particular, we consider sequential diagnosis as a process which occurs in the following type of scenario: (1) there exist some candidate hypotheses which are to be pursued; (2) for each hypothesis there are some alternative tests which might be executed to pursue it; (3) the available knowledge about the world precludes projecting into the future (in other words, the available knowledge about the world does not afford the information needed for planning sequences of tests, i.e. for projecting the consequences of possible sequences of actions and picking the best sequence); (4) the choice of the next test (or tests) is made on the basis of the current state of knowledge; (5) the outcome of a test execution is affected by uncertainty. The suggested method addresses the problem of engineering the knowledge experts use for making decisions under uncertainty. A practical example of the method is also presented: at any time of the diagnostic process the expert is provided with a dynamically updated list of suggested tests in order to support him or her in the decision-making problem about which test to execute next.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00142
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Internet-based expert systems (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: The Internet offers a large potential for delivery of various information-based services, including the services of intelligent applications. As the availability of the Internet has grown, its value as a medium for the delivery of expert systems in particular has increased. There are now a large number of expert systems available on the Internet, including applications in industry, medicine, science and government. Though the Internet provides several advantages for expert system development, it also presents some special problems. These advantages and disadvantages are explored in more detail in this paper. The paper also presents a review of several Internet-based expert systems with a representative sample of publicly available applications, and a discussion of typical tools for developing Internet-based expert systems. A case study of an Internet-based expert system is presented as well.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00135
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Connectionist symbolic rule encoding using a generalized phase-locking mechanism (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: This paper describes a connectionist inference architecture which performs standard symbolic inference on a subclass of first-order predicate calculus. This work first involves constructing efficient connectionist mechanisms to represent basic symbol components, dynamic bindings and basic symbolic inference procedures, and devising a set of algorithms which automatically translates input descriptions to localist neural networks. These connectionist mechanisms are built by taking an existing phase-locking mechanism and extending it further to obtain desirable features to represent and manipulate basic symbol structures. The existing phase-locking mechanism represents dynamic bindings very efficiently using temporal synchronous activity between neuron elements but has fundamental limitations in supporting standard symbolic inference. The extension addresses these limitations. The extended system encodes a significant subset of a Horn clause language in a connectionist style.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00124
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  • 5
    Electronic Resource
    Electronic Resource
    Fractal encoding of context-free grammars in connectionist networks (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Connectionist network learning of context-free languages has so far been applied only to very simple cases and has often made use of an external stack. Learning complex context-free languages with a homogeneous neural mechanism looks like a much harder problem. The current paper takes a step toward solving this problem by analyzing context-free grammar computation (without addressing learning) in a class of analog computers called dynamical automata, which are naturally implemented in connectionist networks. The result is a widely applicable method of using fractal sets to organize infinite-state computations in a bounded state space. An appealing consequence is the development of parameter-space maps, which locate various complex computers in spatial relationships to one another. An example suggests that such a global perspective on the organization of the parameter space may be helpful for solving the hard problem of getting connectionist networks to learn complex grammars from examples.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00126
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  • 6
    Electronic Resource
    Electronic Resource
    Analogy retrieval and processing with distributed vector representations (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Holographic reduced representations (HRRs) are a method for encoding nested relational structures in fixed-width vector representations. HRRs encode relational structures as vector representations in such a way that the superficial similarity of the vectors reflects both superficial and structural similarity of the relational structures. HRRs also support a number of operations that could be very useful in psychological models of human analogy processing: fast estimation of superficial and structural similarity via a vector dot-product; finding corresponding objects in two structures; and chunking of vector representations. Although similarity assessment and discovery of corresponding objects both theoretically take exponential time to perform fully and accurately, with HRRs one can obtain approximate solutions in constant time. The accuracy of these operations with HRRs mirrors patterns of human performance on analog retrieval and processing tasks.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00125
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  • 7
    Electronic Resource
    Electronic Resource
    News (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00127
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  • 8
    Electronic Resource
    Electronic Resource
    Diary (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00128
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  • 9
    Electronic Resource
    Electronic Resource
    News (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00138
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  • 10
    Electronic Resource
    Electronic Resource
    Classification and rule induction using rough set theory (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Rough set theory (RST) offers an interesting and novel approach both to the generation of rules for use in expert systems and to the traditional statistical task of classification. The method is based on a novel classification metric, implemented as upper and lower approximations of a set and more generally in terms of positive, negative and boundary regions. Classification accuracy, which may be set by the decision maker, is measured in terms of conditional probabilities for equivalence classes, and the method involves a search for subsets of attributes (called ’reducts’) which do not require a loss of classification quality. To illustrate the technique, RST is employed within a state level comparison of education expenditure in the USA.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00136
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