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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Detalles Bibliográficos
Autor principal: Wess, Stefan
Otros Autores: Althoff, Klaus-Dieter, 1957- (Director de publicación), Richter, Michael M., 1938-2020, mathématicien (Director de publicación)
Formato: Livre numérique
Lenguaje:Anglais
Publicado: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Colección:Lecture notes in computer science. Lecture notes in artificial intelligence 837
Materias:
Acceso en línea:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Actes d'un séminaire tenu à Kaiserslautern du 1er au 5 novembre 1993, d'après l écran-titre
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Topics in case-based reasoning, first European Workshop, EWCBR-93, Kaiserslautern, Germany, November 1-5, 1993, selected papers, Stefan Wess, Klaus-Dieter Althoff, Michael M. Richter (eds.), Berlin, Springer-Verlag, 1994, 1 vol. (IX-469 p.), Lecture notes in computer science, 3-540-58330-0
• Topics in Case-Based Reasoning, Texte imprimé, 9783662212691
Tabla de Contenidos:
  • 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
  • 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
  • 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.