Topics in Case-Based Reasoning: First European Workshop, EWCBR-93 Kaiserslautern, Germany, November 1–5, 1993 Selected Papers

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Series: Lecture Notes in Computer Science 837 : Lecture Notes in Artificial Intelligence

ISBN: 9783540583301, 3540583300

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Janet L. Kolodner (auth.), Stefan Wess, Klaus-Dieter Althoff, Michael M. Richter (eds.)9783540583301, 3540583300

This volume presents the 36 full refereed papers selected from the presentations at the First European Workshop on Case-Based Reasoning, held at Kaiserslautern, Germany in November 1993.
Case-based reasoning (CBR) has recently attracted much interest among AI researchers: it supports knowledge acquisition and problem solving, and it is related to machine learning, analogical reasoning, cognitive modeling, similarity, and information retrieval. EWCBR is now established as the prime European forum for CBR research. This volume reflects the importance of this dynamic area of research through essential contributions to all aspects of CBR research and advanced applications.

Table of contents :
Understanding creativity: A case-based approach….Pages 1-20
Analogical asides on case-based reasoning….Pages 21-32
PRODILOGY/ANALOGY: Analogical reasoning in general problem solving….Pages 33-50
A knowledge level model of knowledge-based reasoning….Pages 51-64
Learning prediction of time series. A theoretical and empirical comparison of CBR with some other approaches….Pages 65-76
Case-based and symbolic classification….Pages 77-91
A Similarity metric for retrieval of cases imperfectly explained….Pages 92-105
Similarity measures for structured representations….Pages 106-118
A rule-based similarity measure….Pages 119-131
An underlying memory model to support case retrieval….Pages 132-143
Massively parallel case-based reasoning with probabilistic similarity metrics….Pages 144-154
Similarity evaluation between observed behaviours for the prediction of processes….Pages 155-166
Using k -d trees to improve the retrieval step in case-based reasoning….Pages 167-181
Explanation-based similarity: A unifying approach for integrating domain knowledge into case-based reasoning for diagnosis and planning tasks….Pages 182-196
Structural similarity as guidance in case-based design….Pages 197-208
Retrieving adaptable cases….Pages 209-220
Adaptation through interpolation for time-critical case-based reasoning….Pages 221-233
Knowledge engineering requirements in derivational analogy….Pages 234-245
Incorporating (Re)-interpretation in case-based reasoning….Pages 246-260
PBL: Prototype-based learning algorithm….Pages 261-273
Explanation-driven case-based reasoning….Pages 274-288
A reflective architecture for integrated memory-based learning and reasoning….Pages 289-300
A hybrid knowledge-based system for technical diagnosis learning and assistance….Pages 301-312
Tuning rules by cases….Pages 313-324
Using case-based reasoning to focus model-based diagnostic problem solving….Pages 325-337
A logical representation for relevance criteria….Pages 338-352
Multiple explanation patterns….Pages 353-364
The application of case-based reasoning to the tasks of health care planning….Pages 365-378
A priori selection of mesh densities for adaptive finite element analysis, using a case-based reasoning approach….Pages 379-391
Integrating semantic structure and technical documentation in case-based service support Systems….Pages 392-403
Case-based information retrieval….Pages 404-413
Case-based reasoning for network management….Pages 414-423
Case-based reasoning in a simulation environment for biological neural networks….Pages 424-435
Integrated case-based building design….Pages 436-445
Case-deliverer: Making cases relevant to the task at hand….Pages 446-457
A first study on case-based planning in organic synthesis….Pages 458-469

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