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Titlebook: KI-94: Advances in Artificial Intelligence; 18th German Annual C Bernhard Nebel,Leonie Dreschler-Fischer Conference proceedings 1994 Spring

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Preselection strategies for case based classification,pleteness). The approaches are then evaluated in the case based classification shell CcC+, using a practical application on plant classification with appr. 3000 cases. The evaluation also studies these approaches in relation to changes in casebase size.
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Cardinality restrictions on concepts,gical systems that is currently gaining in interest. It shows that including such restrictions into the description language leaves the important inference problems such as instance testing decidable. The algorithm combines and simplifies the ideas developed for the treatment of qualifying number restrictions and of general terminological axioms.
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The stable semantics and its variants: A comparison of recent approaches,troduced in previous work of the first author..We define, discuss and compare various extensions of STABLE and WFS under both aspects. In particular, we determine the relationship with the approach recently introduced by J. Schlipf. We use our own approach to show that Schlipf‘s semantics WFS. coincides with Dix‘ WFS..
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Cooperating to be noncooperative: The dialog system PRACMA,form a usable model of the buyer even while using this model to manipulate the buyer‘s impressions. To realize this behavior, heterogeneous modules and representation formalisms cooperate within a multi-agent architecture.
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Combining spatial and terminological reasoning,litative relations. These relations allow a modularization of systems for terminological reasoning and domain-specific storage and indexing of, e.g., spatial data. Qualitative relations are computed on demand from quantitative data during forward-chaining assertional reasoning.
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0302-9743 nt aspects of AI with a certain focus on knowledge representation and logical foundations of AI; further topics covered are neural network applications, logic programming, natural language, machine learning, and reasoning.978-3-540-58467-4978-3-540-48979-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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