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Titlebook: Scalable Uncertainty Management; 10th International C Steven Schockaert,Pierre Senellart Conference proceedings 2016 Springer International

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书目名称Scalable Uncertainty Management
副标题10th International C
编辑Steven Schockaert,Pierre Senellart
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Scalable Uncertainty Management; 10th International C Steven Schockaert,Pierre Senellart Conference proceedings 2016 Springer International
描述.This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016...The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge..
出版日期Conference proceedings 2016
关键词fuzzy databases; heuristic information; multiple-agent logic; probabilistic databases; reinforcement lea
版次1
doihttps://doi.org/10.1007/978-3-319-45856-4
isbn_softcover978-3-319-45855-7
isbn_ebook978-3-319-45856-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Diffusion of Opinion and Influence or equivalently, as sets of logical interpretations, which allows us to express some kind of uncertainty. Any agent changes its opinion by merging the opinions of its influencers, from the most influential one to the least one. Then we generalize this model by taking topics of opinion into account.
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978-3-319-45855-7Springer International Publishing Switzerland 2016
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Steven Schockaert,Pierre SenellartIncludes supplementary material:
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