Scalable Uncertainty Management
11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings
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Beschreibung
This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017.
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.
Includes supplementary material: sn.pub/extras
Autor*in
Serafín Moral
Themen in »Scalable Uncertainty Management«
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