Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10564)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): SUM: International Conference on Scalable Uncertainty Management
Conference proceedings info: SUM 2017.
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Table of contents (33 papers)
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Front Matter
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Regular Papers
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Front Matter
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About this book
The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers.
Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.
Keywords
- argumentation
- artificial intelligence
- Bayesian networks
- data provenance
- formal logic
- fuzzy logic
- heuristic information
- multiple-agent logic
- problem solving
- probability
- knowledge based systems
- learning systems
- logic programming
- maximum likleyhood
- non-monotonic reasoning
- risk analysis
- probability
- programming languages
- semantics
- uncertainty
Editors and Affiliations
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University of Granada, Granada, Spain
Serafín Moral, Daniel Sánchez, Nicolás Marín
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University of Rennes I, Lannion, France
Olivier Pivert
Bibliographic Information
Book Title: Scalable Uncertainty Management
Book Subtitle: 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings
Editors: Serafín Moral, Olivier Pivert, Daniel Sánchez, Nicolás Marín
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67582-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67581-7Published: 14 September 2017
eBook ISBN: 978-3-319-67582-4Published: 20 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 438
Number of Illustrations: 57 b/w illustrations
Topics: Artificial Intelligence, Logics and Meanings of Programs, Mathematical Logic and Formal Languages, Software Engineering/Programming and Operating Systems, Computer Appl. in Administrative Data Processing, Mathematics of Computing