Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 946)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ECSQARU: European Conference on Symbolic and Quantitative Approaches with Uncertainty
Conference proceedings info: ECSQARU 1995.
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Table of contents (48 papers)
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Front Matter
About this book
In recent years, it has become apparent that an important part of the theory of AI is concerned with reasoning on the basis of uncertain, vague, incomplete, or inconsistent information. A variety of nonclassical formalisms, both symbolic and numerical, have been developed and are addressed in this volume; among them are nonmonotonic and modal logics, fuzzy sets, possibility theory, believe functions, evidence theory, dynamic models, and Bayesian networks.
Bibliographic Information
Book Title: Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Book Subtitle: European Conference, ECSQARU '95, Fribourg, Switzerland, July 3-5, 1995. Proceedings
Editors: Christine Froidevaux, Jürg Kohlas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-60112-0
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1995
Softcover ISBN: 978-3-540-60112-8Published: 26 June 1995
eBook ISBN: 978-3-540-49438-6Published: 11 July 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 438
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages