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

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 acqui...

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Bibliographic Details
Other Authors: Wess, Stefan (Editor), Althoff, Klaus-Dieter (Editor), Richter, Michael (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1994, 1994
Edition:1st ed. 1994
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Understanding creativity: A case-based approach
  • Analogical asides on case-based reasoning
  • PRODILOGY/ANALOGY: Analogical reasoning in general problem solving
  • A knowledge level model of knowledge-based reasoning
  • Learning prediction of time series. A theoretical and empirical comparison of CBR with some other approaches
  • Case-based and symbolic classification
  • A Similarity metric for retrieval of cases imperfectly explained
  • Similarity measures for structured representations
  • A rule-based similarity measure
  • An underlying memory model to support case retrieval
  • Massively parallel case-based reasoning with probabilistic similarity metrics
  • Similarity evaluation between observed behaviours for the prediction of processes
  • Using k-d trees to improve the retrieval step in case-based reasoning
  • Explanation-based similarity: A unifying approach for integrating domain knowledge into case-based reasoning for diagnosis and planning tasks
  • Integrating semantic structure and technical documentation in case-based service support Systems
  • Case-based information retrieval
  • Case-based reasoning for network management
  • Case-based reasoning in a simulation environment for biological neural networks
  • Integrated case-based building design
  • Case-deliverer: Making cases relevant to the task at hand
  • A first study on case-based planning in organic synthesis
  • Structural similarity as guidance in case-based design
  • Retrieving adaptable cases
  • Adaptation through interpolation for time-critical case-based reasoning
  • Knowledge engineering requirements in derivational analogy
  • Incorporating (Re)-interpretation in case-based reasoning
  • PBL: Prototype-based learning algorithm
  • Explanation-driven case-based reasoning
  • A reflective architecture for integrated memory-based learning and reasoning
  • A hybrid knowledge-based system for technical diagnosis learning and assistance
  • Tuning rules by cases
  • Using case-based reasoning to focus model-based diagnostic problem solving
  • A logical representation for relevance criteria
  • Multiple explanation patterns
  • The application of case-based reasoning to the tasks of health care planning
  • A priori selection of mesh densities for adaptive finite element analysis, using a case-based reasoning approach