Uncertain reasoning
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The capability of reasoning with uncertain or incomplete information is a crucial feature both of human and machine intelligence. This track presents fresh research advancing the state of the art across a wide range of nondemonstrative approaches, methods, and interests. Topics of interest include uncertain reasoning formalisms, calculi, and methodologies; reasoning with probability, possibility, fuzzy logic, belief functions, argu-mentation, rough sets, and probability logics; modeling and reasoning using imprecise and indeterminate information; nonmonotonic reasoning and belief revision; uncertain reasoning and databases; uncertain reasoning in Web intelligence; multiagent uncertain reasoning and decision making; decision-theoretic planning and Markov decision process ; temporal reasoning and uncertainty; and practical applications of uncertain reasoning .