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6.034 Artificial Intelligence, Fall 2006

Author(s)
Winston, Patrick Henry
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Download6-034-fall-2006/contents/index.htm (17.03Kb)
Alternative title
Artificial Intelligence
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2012. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
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Abstract
6.034 is the header course for the department's "Artificial Intelligence and Applications" concentration. This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to: develop intelligent systems by assembling solutions to concrete computational problems, understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering, and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
Date issued
2006-12
URI
http://hdl.handle.net/1721.1/71719
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Program in Science, Technology and Society
Other identifiers
6.034-Fall2006
local: 6.034
local: IMSCP-MD5-6b8df12fee95ecb1c4a14667a82817a3
Keywords
artificial intelligence, applied systems, rule chaining, heuristic search, constraint propagation, constrained search, inheritance, identification trees, neural nets, genetic algorithms, human intelligence, knowledge representation, intelligent systems

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