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Intelligent Problem Solving. Methodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 New Orleans, Louisiana, USA, June 19-22, 2000 Proceedings (Paperback, 2000 ed.)
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Intelligent Problem Solving. Methodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 New Orleans, Louisiana, USA, June 19-22, 2000 Proceedings (Paperback, 2000 ed.)
Series: Lecture Notes in Computer Science, 1821
Expected to ship within 10 - 15 working days
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The focus of the papers presented in these proceedings is on
employing various methodologies and approaches for solving
real-life problems. Although the mechanisms that the human brain
employs to solve problems are not yet completely known, we do have
good insight into the functional processing performed by the human
mind. On the basis of the understanding of these natural processes,
scientists in the field of applied intelligence have developed
multiple types of artificial processes, and have employed them
successfully in solving real-life problems. The types of approaches
used to solve problems are dependant on both the nature of the
problem and the expected outcome. While knowledge-based systems are
useful for solving problems in well-understood domains with
relatively stable environments, the approach may fail when the
domain knowledge is either not very well understood or changing
rapidly. The techniques of data discovery through data mining will
help to alleviate some problems faced by knowledge-based approaches
to solving problems in such domains. Research and development in
the area of artificial intelligence are influenced by opportunity,
needs, and the availability of resources. The rapid advancement of
Internet technology and the trend of increasing bandwidths provide
an opportunity and a need for intelligent information processing,
thus creating an excellent opportunity for agent-based computations
and learning. Over 40% of the papers appearing in the conference
proceedings focus on the area of machine learning and intelligent
agents - clear evidence of growing interest in this area.
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