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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