Magazine article AI Magazine

The 2005 International Florida Artificial Intelligence Research Society Conference (FLAIRS-05): A Report

Magazine article AI Magazine

The 2005 International Florida Artificial Intelligence Research Society Conference (FLAIRS-05): A Report

Article excerpt

The Florida Artificial Intelligence Society (1) (FLAIRS) was founded in 1987 to promote and advance artificial intelligence research in the state of Florida and to foster the exchange of ideas and collaboration among the state's researchers in universities and industry, through an annual conference. Shortly thereafter the FLAIRS conference, a general AI conference, grew to become a major venue for AI researchers around the world to present their work. In this year's program, 56 percent of the presented papers included an international author. The conference continues its cooperative status with the American Association for Artificial Intelligence.

The last few years have seen a significant increase in the number and quality of submissions to the FLAIRS conference, with submission numbers more than doubling over the last three years. This year's conference received 249 submissions, of which 131 were accepted as full papers and 32 were accepted as short papers for a poster session.

The program included a general session with many excellent papers spanning a broad range of AI research areas and covering traditional topics such as search, reasoning, and knowledge representation. There were 17 special tracks with several outstanding papers to supplement the program, bringing breadth to the general session and including some nontraditional Al topics, such as "AI in music and art" and "emotional intelligence." An integral part of the conference, the special tracks were coordinated by Todd Neller of Gettysburg College and are intended to give researchers working in similar areas the opportunity to meet and present work in those areas. These focused sessions also offer forums for interaction among a broader community of Al researchers. The special tracks program included sessions and papers on AI education, AI for social networks, case-based reasoning, computational intelligence for advanced Web knowledge discovery, constraint solving and programming, evaluation and refinement of intelligent systems, integrated intelligent systems, intelligent agent systems, machine learning, natural language-based knowledge representations, neural network applications, nonclassical logics, secure multiparty computations and distributed constraint reasoning, spatiotemporal reasoning, and uncertainty reasoning.

Several special tracks included a significant number of presentations. The machine learning track, organized by Zdravko Markov and Larry Holder, was the most extensive, with 18 papers presented of the 35 submitted. The special track on natural language knowledge representations, organized by Vasile Rus, was the second largest.

For the first time this year, the conference featured a poster session, which was held during the conference reception. All accepted papers are included in the conference proceedings published by AAAI Press. In addition, authors of a select group of papers were invited to submit an extended version for publication consideration in a special issue of the International Journal on Artificial Intelligence Tools.

A best paper award was presented to Jeffrey A. Coble, Diane J. Cook, and Lawrence B. Holder of the University of Texas at Arlington for their paper titled "Structure Discovery in Sequentially Connected Data." The paper addresses an important topic in data mining, the development of data mining techniques to discover structural patterns consisting of complex relationships between entities. The authors present an incremental discovery algorithm that operates over relational data received incrementally. Second place went to Michael D. Moffitt and Martha E. Pollack of the University of Michigan for their paper titled "Partial Constraint Satisfaction of Disjunctive Temporal Problems," in which the authors present a method for finding optimal partial solutions to overconstrained instances of the disjunctive temporal problem (DTP). A paper titled "Semantic Derivation Verification" by Geoff Sutcliffe and Diego Belfiore of the University of Miami ranked third. …

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