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  • 1
    ISSN: 1572-9338
    Keywords: Expert systems ; diagnosis ; knowledge representation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract We describe progress made within the FORK project, whose goals are the implementation of a primarily object-oriented knowledge representation system and its application to the design and fault diagnosis of technical systems. Whereas the kernel of the FORK representation system is completely object-oriented, the system as a whole is supposed to integrate a variety of different programming styles. In the following, an extension for rule-oriented programming is described, which raises the descriptive power of the FORK system beyond that of LOOPS. As an application of the rule-oriented component, a constraint language has been implemented which plays an important rule in our approach to the design and fault diagnosis of technical systems. In parallel to the implementation of the FORK system, a first study in the field of diagnosis has been conducted, aiming at a clarification of the basic problems and representational needs. After considering more traditional rule-based approaches to the diagnosis problem, we concentrated on an approach known as “based onstructure andbehavior”. Starting with an algorithm to diagnose multiple failures in electronic circuits, considerable extensions had to be made for the more complicated case of electromechanical systems. Since the object-oriented implementation of this diagnosis system, DIAGTECH, had to obey the restrictions of a PC, only a subset of the features offered by the FORK system was available. DIAGTECH is a hybrid system, because it also supports the rule-based style of diagnosis, for which our logic-based “expert system shell” DUCKITO is used as a subsystem. The next steps in the FORK project will include the development of a general logical framework, comprising a logical reconstruction of object-centered representations, retrieval of complex descriptions by unification, and deductions on structured objects. The problem of nonmonotonicity will be dealt with on the meta level by a module similar to deKleer's ATMS — which was not available for DIAGTECH. Further progress shall be achieved by concentrating on a general treatment of the problem of time in modelling technical systems which is to our opinion one of the most important issues.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 16 (1988), S. 375-391 
    ISSN: 1572-9338
    Keywords: Expert systems ; highway maintenance ; pavement management systems ; bridge maintenance management
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract Genuine, nontrivial planning problems in pavement and bridge maintenance are generally beyond the capabilities of expert systems. However, the diagnostic, interpretive and predictive features of such systems can be combined with algorithmic planning tools to produce comprehensive maintenance planning and management systems. After a discussion of the relevant issues, this paper addresses the potential application areas for knowledgebased expert systems in highway maintenance planning. The foxus is on how and where expert systems can interface with optimization models to yield meaningful results.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 12 (1988), S. 199-215 
    ISSN: 1572-9338
    Keywords: Expert systems ; rule-base management ; logical testing ; combinatorial optimization ; precedence graphs ; computational logic
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract We present a procedure to logically reduce simple implications that comprise the rule-base of an expert system. Our method uses topological sorting on a digraph representation that detects logical inconsistency and circular reasoning in linear-time. Then, the sort order provides an efficient method to detect and eliminate forced values and redundant rules. We consider additional diagnostic aids for the rule-base manager, notably how to range the number of propositions that could be true and how to consolodate the rule-base. We than show how the simple case may be extended to logically test a general rule-base with a decomposition principle.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1572-9974
    Keywords: Expert systems ; economics ; auction bidding markets ; artificial intelligence ; economic modelling
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Notes: Abstract In this paper we argue that expert systems can be powerful tools for modelling microeconomic systems, including both individual decision making and the coordination of individual agents in a resource allocation mechanism. Using the fact that expert systems are essentially computerized versions of decision processes, we illustrate how they can be viewed as generalized process models of decision-making. We argue that the expert system approach is beneficial because it allows a policy analyst to explore the implication of policy alternatives without having to incur the generally prohibitive cost of field implementation studies. Further, enables the incorporation and updating of decision strategies and qualitative information, which human experts typically use but which is not amenable to pure mathematical modelling. One particular microeconomic system we suggest could be modelled as an expert system is the OCS offshore oil lease auction process. Moreover, we argue that constructing such an expert system model would require the development of two integrated expert systems: one for the auction process and subsequent resource allocation and the other to model the individual bidding behavior of the auction participants. We set out the structure of the auction expert system in some detail and discuss rules of thumb used by bidders inferred from our empirical research on past OCS auctions. Such an expert system of an auction leasing process could provide benefits to both bidders (e.g., oil companies) and the auctioneer (e.g., the Department of the Interior) as well. Bidders, by trying different strategies against different hypothesized strategies by their opponents could use such an integrated expert system to improve their bidding performances. The auctioneer, on the other hand, could test the efficiency of various proposed auction institutions under different assumptions about bidding behavior. In some circumstances, it might be desirable to even automate the auction process with a network coordinating the expert systems used by the individual firms and a computerized auctioneer.
    Type of Medium: Electronic Resource
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