Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1359)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: PRICAI 1996.
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Table of contents (18 papers)
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Front Matter
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Back Matter
Other volumes
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PRICAI'96: Topics in Artificial Intelligence
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Learning and Reasoning with Complex Representations
Keywords
About this book
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.
Bibliographic Information
Book Title: Learning and Reasoning with Complex Representations
Book Subtitle: PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations Cairns, Australia, August 26-30, 1996, Selected Papers
Editors: Grigoris Antoniou, Aditya K. Ghose, Mirosław Truszczyński
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-64413-X
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1998
Softcover ISBN: 978-3-540-64413-2Published: 15 April 1998
eBook ISBN: 978-3-540-69780-0Published: 15 November 2006
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 288
Topics: Artificial Intelligence