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dc.contributor.authorLozano-Perez, Tomasen_US
dc.contributor.authorKaelbling, Leslie Packen_US
dc.contributor.authorWinston, Patrick Henryen_US
dc.coverage.temporalSpring 2003en_US
dc.date.issued2003-06
dc.identifier6.034-Spring2003
dc.identifierlocal: 6.034
dc.identifierlocal: IMSCP-MD5-16649f75bb3c0a3ac45a797712437ff3
dc.identifier.urihttp://hdl.handle.net/1721.1/35799
dc.description.abstractIntroduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint propagation, constrained search, inheritance, and other problem-solving paradigms. Applications of identification trees, neural nets, genetic algorithms, and other learning paradigms. Speculations on the contributions of human vision and language systems to human intelligence. Enrollment may be limited.en_US
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dc.languageen-USen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2003. 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"). 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.en_US
dc.subjectartificial intelligenceen_US
dc.subjectapplied systemsen_US
dc.subjectintelligenceen_US
dc.subjectrule chainingen_US
dc.subjectheuristic searchen_US
dc.subjectlogicen_US
dc.subjectconstraint propagationen_US
dc.subjectconstrained searchen_US
dc.subjectdecision treesen_US
dc.subjectneural netsen_US
dc.subjectSVMsen_US
dc.subjectproblem-solving paradigmsen_US
dc.title6.034 Artificial Intelligence, Spring 2003en_US
dc.title.alternativeArtificial Intelligenceen_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science


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