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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| Autor principal: | |
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| Otros Autores: | , |
| 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.

