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ECSQARU 2013 : European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty


Conference Series : European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
When Jul 7, 2013 - Jul 10, 2013
Where Utrecht, The Netherlands
Submission Deadline Feb 3, 2013
Notification Due Mar 25, 2013
Final Version Due Oct 4, 2014
Categories    artificial intelligence   reasoning under uncertainty   symbolic reasoning   quantitative reasoning

Call For Papers

The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty. Contributions come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.

Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), and Belfast (2011).

The Twelfth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty will be held in Utrecht, The Netherlands, on July 8th -10th, with a tutorial and workshop programme on July 7th, 2013.

Possible topics include, but are not limited to:

Algorithms for uncertain inference
Applications of uncertain systems
Argumentation systems
Automated planning & acting
Belief functions
Belief revision & merging
Classification & clustering
Decision theory & decision graphs
Default reasoning
Description logics with uncertainty
Foundations of reasoning under uncertainty
Fuzzy sets and fuzzy Logic
Game theory
Imprecise probabilities
Inconsistency handling
Information fusion
Learning for uncertainty formalisms
Logics for reasoning under uncertainty
Markov decision processes
Possibility theory & possibilistic logic
Probabilistic graphical models
Probabilistic logics
Qualitative uncertainty models
Rough sets
Uncertainty & data

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