[hpc-announce] [CALL FOR PAPERS] Uncertain Reasoning @ Flairs 33
Alessandro Antonucci
alessandro at idsia.ch
Mon Oct 14 05:54:25 CDT 2019
Special Track on Uncertain Reasoning at Flairs 33 - Call for Papers
*** Apologies for multiple postings ***
[UR @ FLAIRS 33] CALL FOR PAPERS
Special Track on Uncertain Reasoning at the 33rd Florida Artificial Intelligence Research Society Conference (FLAIRS-33)
May 17-20, 2020 - North Miami Beach, Florida (US)
Paper submission deadline: November 18, 2019
Conference website: http://www.flairs-33.info
Track website: http://idsia.ch/~alessandro/flairs
::: Call for Papers :::
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 fertilisation among the different approaches for uncertain reasoning, and in turn 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'20 Special Track at the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-33) is the 25th in the series. As in the past years, UR'20 track 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 functions, vagueness, granularity, rough sets, and probability logics
- Modelling 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
- Inference and learning with graphical models of uncertainty (e.g., Bayesian networks)
- Multi-agent uncertain reasoning and decision making
- Decision-theoretic planning and Markov decision processes
- Temporal reasoning and uncertainty, non-monotonic reasoning, similarity-based reasoning
- Conditional logics, description logic, logic programming
- Argumentation
- Belief change and merging
- 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 (e.g., machine learning, computer vision and animation)
::: Program Committee :::
: Track Chairs :
- Alessandro Antonucci (IDSIA, Switzerland)
- Salem Benferhat (University of Artois, France)
- Kamal Premaratne (University of Miami, US)
: PC Members :
- Mohand Said Allili (Université du Québec en Outaouais, Canada)
- Ofer Arieli (The Academic College of Tel-Aviv, Israel)
- Nizar Bouguila (Concordia University, Canada)
- Cory Butz (University of Regina, Canada)
- Martine Ceberio (University of Texas at El Paso, US)
- Sebastien Destercke (University of Technology of Compiegne, France)
- Love Ekenberg (Stockholm University, Sweden)
- Christophe Gonzalez (University of Paris 6, France)
- Ilyes Jenhani (Prince Mohammad Bin Fahd University, Saudi Arabia)
- Gabriele Kern-Isberner (Technical University of Dortmund, Germany)
- Vladik Kreinovich (University of Texas at El Paso, US)
- Philippe Leray (University of Nantes, France)
- Nicholas Mattei (Tulane University, US)
- Rafael Peñaloza (University of Milano-Bicocca, Italy)
- Lalintha G. Polpitiya (MathWorks, US)
- Dilip Sarkar (University of Miami, US)
- Steven Schockaert (Cardiff University, UK)
- Karima Sedki (University of Paris 13, France)
- Gunasekaran Seetharaman (Navy Research Laboratory, US)
- Kari Sentz (Los Alamos National Laboratory, US)
- Karim Tabia (Artois University, France)
- Choh Man Teng (Institute for Human and Machine Cognition, US)
- Barbara Vantaggi (Sapienza University of Rome, Italy)
- Thanuka Wickramarathne (University of Massachusetts, Lowell, US)
::: Other Information :::
FLAIRS 33 will be held in North Miami Beach, Florida. Additional information on the conference location and travel planning can be found at http://www.flairs-33.info. Feel free to contact the organizers (alessandro at idsia.ch, kamal at miami.edu, benferhat at cril.fr) for any further information about the UR’20 special track.
::: Submission :::
Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (in that they should not have been submitted and in review or in the process of being submitted for another conference/journal).
FLAIRS-33 accepts two types of submissions: full paper (up to 6 pages) to be presented by the author in a 20 minute oral presentation; and short paper (up to 4 pages) to be presented in a poster session. The submission deadline for both types of submissions is November 18, 2019.
The 2020 FLAIRS-33 will employ a double-blind review process. Therefore, the author names and affiliations, and other identifying information, must be omitted when submitting papers for review. The papers will be reviewed by at least three reviewers. Papers must be submitted as PDF files through the EasyChair conference system, which can also be accessed through the FLAIRS-33 main conference web site.
Authors should indicate the special track "Uncertain Reasoning" for submissions. The proceedings of FLAIRS-33 will be published by AAAI Press. A special issue of an international journal will be devoted to extended versions of the top papers presented within the track. 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-33.
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