Special Track on Uncertain Reasoning, proceedings of FLAIRS'14
Résumé
Many problems in AI require an intelligent agent to operate with incomplete or uncertain information, for example, in reasoning, planning, learning, perception and robotics. 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.
Mots clés
- practical applications of uncertain reasoning
- construction of models from elicitation
- data mining and knowledge discovery
- similarity-based reasoning
- belief change and merging
- argumentation
- Markov decision process
- nonmonotonic reasoning
- conditional logics
- temporal reasoning and uncertainty
- decision-theoretic planning
- calculi and methodologies
- granularity
- Bayesian networks
- graphical models of uncertainty
- multiagent uncertain reasoning and decision making
- approximate and qualitative uncertain reasoning
- possibility
- fuzzy logic
- Belief function
- uncertain reasoning formalisms
- rough sets
- Probability logics
- modeling and reasoning using imprecise and indeterminate information
- comparative orderings
- convex sets of measures
- Interval-valued probabilities
- exact
- vagueness
- reasoning with probability