Learning and reasoning with complex representations : PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations, Cairns, Australia, August 26-30, 1996 : selected papers
This book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996. The volume presents 14 revised full...
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| Format: | Livre numérique |
| Idioma: | Anglais |
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Berlin [etc.] :
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| Col·lecció: | Lecture notes in computer science. Lecture notes in artificial intelligence
1359 |
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| Edition sous un autre format: | • Learning and reasoning with complex representations, PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations, Cairns, Australia, August 26-30, 1996, selected papers, Grigoris Antoniou, Aditya K. Ghose, Miroslaw Truszczynski, (eds.), 1998, Berlin, Springer, 1 vol. (X-283 p.), Lecture notes in computer science, 3-540-64413-X • Learning and Reasoning with Complex Representations, Texte imprimé, 9783662162880 |
Taula de continguts:
- Inductive constraint logic programming: An overview
- Some approaches to reasoning with incomplete and changing information
- Curried least general generalization: A framework for higher order concept learning
- Approximate validity
- Inductive theories from equational systems
- The role of default representations in incremental learning
- Learning stable concepts in a changing world
- Inducing complex spatial descriptions in two dimensional scenes
- A framework for learning constraints: Preliminary report
- Induction of constraint logic programs
- Belief network algorithms: A study of performance based on domain characterisation
- A Group Decision and Negotiation Support System for argumentation based reasoning
- From belief revision to design revision: Applying theory change to changing requirements
- Using histories to model observations in theories of action
- Modelling inertia in action languages
- Combinatorial interpretation of uncertainty and conditioning
- Probabilistic diagnosis as an update problem
- Cooperative combination of default logic and autoepistemic logic.