Titlebook: Research and Development in Intelligent Systems XVIII; Proceedings of ES200 Max Bramer,Frans Coenen,Alun Preece Conference proceedings 2002

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Detecting Mismatches among Experts’ Ontologies acquired through Knowledge Elicitationexperts who advise on the selection/ specification and purchase of PCs. These protocols were analysed from the perspective of both the processes and the domain knowledge to reflect each expert’s inherent conceptualisation of the domain. We are particularly interested in analysing discrepancies withi

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Optimising Association Rule Algorithms Using Itemset Orderingrds of which can be represented as sets of items The problem of extracting all possible association rules, however, is computationally intractable, so methods of reducing its complexity are of continuing interest. We here describe some results obtained from a method we have developed, which reduces

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AUGER

Informed Selection of Filter Examples for Knowledge Refinements for which the KBS gives an incorrect solution. These tools generally employ greedy hill climbing to search the space of possible refinements. Typically refinement algorithms are iterative and at each iteration chooses a fix having the best impact on the faulty KBS. This impact is ascertained by an

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Competence-Guided Case Discoveryt in case-bases, with little or no direct attention given to the holes that exist in every case-base, and that ultimately limit the competence of real systems. In this paper we argue that modeling these competence holes is necessary to fully understand the potential of a case-base. We present and ev

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A Study of Autonomous Agent Navigation Algorithms in the ANIMAT Environmentpossibilities of ZCS classifier system learning. A ZCS classifier system is purely reactive. For this system it is essential to have a possibility to identify the global state of the environment by the input message. This reduces the application area of the system and its ability to solve complex ta