Date: Thu, 7 Oct 99 19:31:58 +1000 From: achim@cse.unsw.edu.au (Achim Hoffmann) Subject: cfp: PRICAI2000 in Melbourne, Australia CALL FOR PAPERS Sixth Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000) August 28 - September 1, 2000 Melbourne Convention Centre Cnr Flinders & Spencer Streets Melbourne, Victoria, Australia (http://www3.cm.deakin.edu.au/pricai/) IMPORTANT DATES FOR PAPER SUBMISSIONS: -------------------------------------- Feb 11, 2000 Submission deadline for papers April 14, 2000 Paper notification deadline May 22, 2000 Camera-ready paper deadline The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is the leading conference in the Pacific Rim region for presentation of research in Artificial Intelligence, including its applications to problems of social and economic importance. The objectives of PRICAI are: to provide a forum for the introduction and discussion of new research results, concepts, & technologies; to provide practising engineers exposure to and an evaluation of evolving research, tools, and practices; to provide the research community exposure to the problems of practical applications of AI; and to encourage the exchange of AI technologies and experience within Pacific Rim countries. PRICAI 2000 attempts to meet the needs of a large and diverse constituency, which includes researchers, practitioners, educators, and users. Topics of PRICAI 2000 include: Abduction Knowledge discovery & Data mining Adaptive interface Knowledge management Agents Knowledge representation AI architectures Logic programming Artificial life Machine learning Bayesian networks Machine translation Belief revision Mobile agents Cognitive modelling Model-based reasoning CSCW and AI Multimedia and AI Common sense reasoning Multiagent systems Computational complexity Music and AI Computational learning theory Natural language processing Complex systems Neural networks Computer-aided education Nonmonotonic reasoning Constraint satisfaction Ontological engineering Decision theory Planning Description logics Probabilistic reasoning Distributed AI Qualitative reasoning Emergent computing Real-time systems Foundation of AI Reinforcement learning Fuzzy Logics Robotics Game playing Scientific discovery Genetic algorithms Search Image processing Software engineering and AI Induction Spatial reasoning Industrial applications of AI Speech and spoken dialog understanding Intelligent CAD Temporal Reasoning Intelligent information gathering Text analysis Intelligent learning environment Theorem proving Internet and AI User modelling Knowledge acquisition, Virtual reality modeling and validation Vision Knowledge-based systems Aspects of AI not otherwise listed For more information see the website [edited GPS]
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