The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR'2017 Special Track at the 30th International Florida Artificial Intelligence Research Society Conference (FLAIRS-30) is the 22nd in the series. Like the past tracks, UR'2017 seeks to bring together researchers working on broad issues related to reasoning under uncertainty.
All accepted papers will be published as FLAIRS proceedings by AAAI Press. A special issue of an international journal will be devoted to extended versions of the top papers at the track.
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'2017 Special Track at the 30th International Florida Artificial Intelligence Research Society Conference (FLAIRS-30) is the 22nd in the series. Like the past tracks, UR'2017 seeks to bring together researchers working on broad issues related to reasoning under uncertainty.
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, Description logic, Logic programming
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
Uncertain reasoning in data management
Practical applications of uncertain reasoning
For next year we intend to bring closer together the areas of uncertainty management in AI and data management. We are particularly interested in submissions that can be of interest for both. The interaction of these two areas and research communities will be fruitful for the two of them, and beneficial to the broader area of data science in general.
All accepted papers will be published as FLAIRS proceedings by AAAI Press. A special issue of an international journal will be devoted to extended versions of the top papers at the track.
Important Dates:
Submission of papers: Nov. 21, 2016
Notification of acceptance: Jan. 23, 2017
Camera-ready versions due: Feb. 27, 2017
FLAIRS-30 conference: May 22-24, 2017
User Name : shaun
Posted 15-11-2016 on 16:12:29 AEDT