Titlebook: Second Generation Expert Systems; Jean-Marc David,Jean-Paul Krivine,Reid Simmons Conference proceedings 1993 Springer-Verlag Berlin Heidel

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edge Acquisition in Second Generation Expert Systems- Explanation of Reasoning- Architectures for Second Generation Expert Systems.This book can serve as a reference book for researchersandstudents and will also be an invaluable help forpractitionersinvolved in KBS developments.978-3-642-77929-9978-3-642-77927-5

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awbacks of first generation expertsystems. This book presents an overview andnewcontributions from people who have played a major role inthisevolution. It is divided in several sections that coverthe main topics ofthe subject:- Combining Multiple Reasoning Paradigms- Knowledge Level Modelling- Knowl

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Combining Heuristic Reasoning with Causal Reasoning in Diagnostic Problem Solvingwe first present the two-level architecture CHECK which exploits both experiential knowledge and a deeper form of knowledge. While the former is represented by means of a frame-based formalism, the latter is based on a causal network representation. The co-operation of reasoning at the two levels is

Peristalsis

Combining Causal Models and Case-Based Reasoningdoes so slowly. This paper describes a method for increasing the solution speed of model-based reasoning systems by remembering previous similar problems and making small changes to their solutions. This technique is known as case-based reasoning (CBR). If the CBR system were limited to solving only

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Generate, Test and Debug: A Paradigm for Combining Associational and Causal Reasoningnd causal reasoning can be used to achieve both goals. We describe the Generate, Test and Debug (GTD) paradigm, which uses associational reasoning to solve most problems efficiently, while relying on causal reasoning to maintain overall robustness. The problem-solving characteristics of associationa