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.

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.

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 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.

Program Committee

Track Chairs

Souhila Kaci	University of Montpellier 2, France
Matthias Thimm	University of Koblenz-Landau, Germany

PC Members

Xiangdong An	York U., Canada
Claudia D'Amato	Bari U., Italy
Christoph Beierle	U. of Hagen, Germany
Richard Booth	U. of Luxembourg, Luxembourg
Cory Butz	U. of Regina, Canada
Fabio Cuzzolin	Oxford Brookes U., England
Sylvie Doutre	U. Toulouse, France
Marek Druzdzel	U. Pittsburgh, USA
Love Ekenberg	Stockholm U., Sweden
Konstantinos Georgatos	CUNY, USA
Lluis Godo	IIIA, Spanish National Research Council, Spain
Gabriele Kern-Isberner	U. Dortmund, Germany
Weiru Liu	Queen's U. Belfast, UK
Anders Madsen	HUGIN Expert, Denmark
Nicholas Mattei	U. of Kentucky, USA
Eric Neufeld	U. Saskatchewan, Canada
Laurent Perrussel	IRIT, U. Toulouse, France
Eugene Santos	Dartmouth College, USA
Paul Snow	New Hampshire, USA
Luis E. Sucar	Inst. Astrophysics, Optics, Electronics, Mexico
Choh-Man Teng	Inst. for Human & Machine Cognition, USA
Dan Wu	U. Windsor, Canada
Yang Xiang	U. Guelph, Canada
Changhe Yuan	Queens College, City U. of New York, USA

Travel Information

FLAIRS 2014 will be held in Pensacola Beach, Florida. Additional information on the conference location and travel planning can be found at http://www.flairs-27.info/.

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 (https://www.easychair.org/conferences/?conf=flairs27, track "Uncertain Reasoning"), 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.

Submission of papers:	November 18, 2013
Notification of acceptance:	January 20, 2014
Camera-ready versions due:	February 24, 2014
FLAIRS-27 conference:	May 21-23, 2014

TBA

The following papers have been accepted to be part of the program of the Uncertainty Track:

• Mallinali Ramirez, L. Enrique Sucar and Eduardo F. Morales, Chained Path Evaluation for Hierarchical Multi-label Classification
• Liessman Sturlaugson and John Sheppard, Factored Performance Functions with Structural Representation in Continuous Time Bayesian Networks
• Gabriele Kern-Isberner, Marco Wilhelm and Christoph Beierle, A Novel Methodology for Processing Probabilistic Knowledge Bases Under Maximum Entropy
• Anthony Coutant, Philippe Leray and Hoel Le Capitaine, Learning Probabilistic Relational Models using Non-Negative Matrix Factorization
• Christoph Beierle, Rita Hermsen and Gabriele Kern-Isberner, Observations on the Minimality of Ranking Functions for Qualitative Conditional Knowlegde Bases and Their Computation
• Christoph Beierle, Markus Höhnerbach and Marcus Marto, Implementation of a Transformation System for Relational Probabilistic Knowledge Bases Simplifying the Maximum Entropy Model Computation (short paper)
• Parot Ratnapinda and Marek Druzdzel, An Empirical Evaluation of Costs and Benefits of Simplifying Bayesian Networks by Removing Weak Arcs (short paper)

UR Track Co-Chairs:

Souhila Kaci	University of Montpellier 2, France
Matthias Thimm	University of Koblenz-Landau, Germany

Questions regarding the Uncertain Reasoning Special Track should be addressed to the UR Track co-chairs.

FLAIRS-27 Chairs:

Conference Chair	G. Michael Youngblood, PARC, a Xerox company, USA
Program Co-Chairs	Chutima Boonthum-Denecke, Hampton University, USA William (Bill) Eberle, Tennessee Technological University, USA
Special Tracks Coordinator:	Ingrid Russell, University of Hartford, USA

FLAIRS-2014 conference web page: http://www.flairs-27.info/

Florida AI Research Society (FLAIRS): http://www.flairs.com

PC Members

Xiangdong An	York U., Canada
Claudia D'Amato	Bari U., Italy
Christoph Beierle	U. of Hagen, Germany
Richard Booth	U. of Luxembourg, Luxembourg
Cory Butz	U. of Regina, Canada
Fabio Cuzzolin	Oxford Brookes U., England
Sylvie Doutre	U. Toulouse, France
Marek Druzdzel	U. Pittsburgh, USA
Love Ekenberg	Stockholm U., Sweden
Konstantinos Georgatos	CUNY, USA
Lluis Godo	IIIA, Spanish National Research Council, Spain
Gabriele Kern-Isberner	U. Dortmund, Germany
Weiru Liu	Queen's U. Belfast, UK
Anders Madsen	HUGIN Expert, Denmark
Nicholas Mattei	NICTA/University of New South Wales, Australia
Eric Neufeld	U. Saskatchewan, Canada
Laurent Perrussel	IRIT, U. Toulouse, France
Eugene Santos	Dartmouth College, USA
Paul Snow	New Hampshire, USA
Luis E. Sucar	Inst. Astrophysics, Optics, Electronics, Mexico
Choh-Man Teng	Inst. for Human & Machine Cognition, USA
Dan Wu	U. Windsor, Canada
Yang Xiang	U. Guelph, Canada
Changhe Yuan	Queens College, City U. of New York, USA