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Artificial Intelligence |
Module Type: |
Information Technology Track |
Module Code: |
631Î |
Syllabus: |
Review of basic concepts: State-space search techniques, problem solving and planning.
Knowledge representation and expert systems. Reasoning Systems. Introduction to the physical
language processing, machine learning, neural networks, with emphasis on the full analysis of
at least one of the former topics. |
Module Aims-Objectives: |
To get familiar with problems concerning programming software application that exhibit "intelligent" behaviour,
and to understand the basic fields of application of artificial intelligence (knowledge representation, expert systems,
problem solving and action design, machine learning, neural networks etc).
Upon completing this module students should be competent in using Prolog and/or other languages employed for the solution
of artificial intelligence related problems. |
Bibliography: |
• S. Russel, P. Norvig, "Artificial Intelligence: A Modern Approach", Prentice
Hall, 1995
• M. A. Boden, "Artificial Intelligence", Academic Press, 1996.
• V. Kriketos, K. Pastra, "Introduction Manual in Expert Systems ", Maritime Technology Development Co. Publishing, 1991.
• Lecture Notes
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