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Special Track on Uncertain Reasoning (UR)
FLAIRS-27

http://ur14.west.uni-koblenz.de

Pensacola Beach, Florida, USA
May 21-23, 2014
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Many problems in AI (in reasoning, planning, learning, perception and robotics) require the agent to operate with incomplete or uncertain information. The objective of this track is to present and discuss a broad and diverse range of current work on uncertain reasoning, including theoretical and applied research based on different paradigms. We hope that the variety and richness of this track will help to promote cross fertilization among the different approaches for uncertain reasoning, and in this way foster the development of new ideas and paradigms.

The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR'2014 Special Track at the 27th International Florida Artificial Intelligence Research Society Conference (FLAIRS-27) is the 19th in the series. As the past tracks, UR'2014 seeks to bring together researchers working on broad issues related to reasoning under uncertainty.

Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to:
- Uncertain reasoning formalisms, calculi and methodologies
- Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics - Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities
- Exact, approximate and qualitative uncertain reasoning
- Bayesian networks
- Graphical models of uncertainty
- Multi-agent uncertain reasoning and decision making
- Decision-theoretic planning and Markov decision process
- Temporal reasoning and uncertainty
- Nonmonotonic reasoning
- Conditional Logics
- Argumentation
- Belief change and Merging
- Similarity-based reasoning
- Construction of models from elicitation, data mining and knowledge discovery - Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment
- Practical applications of uncertain reasoning

All accepted papers will be published as FLAIRS proceedings by AAAI Press. We anticipate that, as in previous years, a special issue in an international journal will be devoted to extended versions of the top papers at the track..

Submission
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Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (4 pages for a poster) and are due by November 18, 2013. For FLAIRS-27, the 2014 conference, the reviewing is a double blind process. Fake author names and affiliations must be used on submitted papers to provide double-blind reviewing. The papers will be reviewed by at least three reviewers. Papers must be submitted as PDF through the EasyChair conference system (Link to be announced), which can also be accessed through the main conference web site (http://www.flairs-27.info). Note: Do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers.

Authors should indicate the special track "Uncertain Reasoning" for submissions.

The proceedings of FLAIRS-27 will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI.

At least one author of each accepted paper is required to register, attend, and present the paper at FLAIRS-27.

Track Chairs
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Souhila Kaci (University of Montpellier 2, France)
Matthias Thimm (University of Koblenz-Landau, Germany)

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Souhila Kaci
Professeur
Université Montpellier 2
LIRMM - UMR 5506
161 rue ADA
F34392 Montpellier Cedex 5 France
http://www2.lirmm.fr/~kaci/
co-responsable du pĂ´le IA au LIRMM http://www.lirmm.fr/xml/fr/0281-08.html
Working with Preferences: Less is more - Springer 
http://www.springer.com/computer/ai/book/978-3-642-17279-3
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