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Learning and Reasoning with Complex Representations [electronic resource] : PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations Cairns, Australia, August 26-30, 1996, Selected Papers / edited by Grigoris Antoniou, Aditya K. Ghose, Miroslaw Truszczynski.

Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
Format/Description:
Book
1 online resource (XII, 288 pages)
Edition:
1st ed. 1998.
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 1359
Lecture Notes in Artificial Intelligence ; 1359
Contained In:
Springer eBooks
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Subjects:
Artificial intelligence.
Local subjects:
Artificial Intelligence. (search)
System Details:
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Summary:
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 papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis.
Contents:
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.
Contributor:
Antoniou, G. (Grigoris), editor., Editor,
Ghose, Aditya K. editor., Editor,
Truszczyński, Mirosław, editor., Editor,
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Printed edition:
Printed edition:
ISBN:
978-3-540-69780-0
9783540697800
Publisher Number:
10.1007/3-540-64413-X doi
Access Restriction:
Restricted for use by site license.