Report on the 30th International Florida Artificial Intelligence Research Society Conference (FLAIRS-30)
The Florida Artificial Intelligence Society (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 from 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 from around the world to present their work. The conference continues its in-cooperation status with the Association for the Advancement of Artificial Intelligence. Continuing a long tradition of presenting and discussing state-of-the-art artificial intelligence research in a sociable atmosphere within a beautiful setting, the 30th International Florida Artificial Intelligence Research Soci- ety Conference (FLAIRS-30) took place May 22-24, 2017, in Marco Island, Florida, USA. It attracted 192 participants from 20 countries, with about one-third coming from outside the United States. The program included a general session with many excellent papers spanning a broad range of AI research areas and comprising traditional topics such as machine learning, reasoning, and optimization. Seventeen special tracks with several outstanding papers supplemented the program, bringing breadth to the general session. An integral part of the conference, the special tracks, are intended to provide researchers working in similar areas the opportunity to meet and to present work in those areas. These focused sessions also offer forums for interactions among a broader community of AI researchers. The special tacks program included sessions and papers on AI and Cyber- Security, AI in Games, Serious Games, and Multimedia, AI in Health-Care Informatics, Applications of Artificial Intelligence in Business and Industry, Applied Natural Language Processing, Artificial Intelligence for Big Social Data Analysis, Autonomous Robots and Agents, Case-Based Reasoning, Data Mining, Learning from Heterogeneous Data Analytics, Intelligent Learning Technologies, Intelligent Support for Decision Making, Natural Language Processing of Ancient and Other Low-Resource Languages, Nonclassical Logic, Recommender Systems, Semantic / Logics / Information.
Rus, V., Markov, Z., & Russell, I. (2017). Report on the 30th International Florida Artificial Intelligence Research Society Conference (FLAIRS-30). AI Magazine, 38 (3), 70-71. https://doi.org/10.1609/aimag.v38i3.2753