| dc.contributor.author |
Winston, Patrick Henry |
|
| dc.coverage.temporal |
Fall 2002 |
|
| dc.date.accessioned |
2007-12-07T08:37:45Z |
|
| dc.date.available |
2007-12-07T08:37:45Z |
|
| dc.date.issued |
2002-12 |
|
| dc.identifier |
6.034-Fall2002 |
|
| dc.identifier.other |
6.034 |
|
| dc.identifier.other |
IMSCP-MD5-53965b6c22eb13efe5cc491b46d88ce9 |
|
| dc.identifier.uri |
http://hdl.handle.net/1721.1/39663 |
|
| dc.description.abstract |
Introduces 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. From the course home page: Course Description 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. |
en |
| dc.description.provenance |
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Previous issue date: 2002-12 |
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| dc.language.iso |
en-US |
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| dc.relation.hasversion |
http://www.core.org.cn/OCW_CN/Electrical-Engineering-and-Computer-Science/6-034Artificial-IntelligenceFall2002/CourseHome/index.htm |
|
| dc.rights |
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 |
| dc.subject |
artificial intelligence |
en |
| dc.subject |
applied systems |
en |
| dc.subject |
rule chaining |
en |
| dc.subject |
heuristic search |
en |
| dc.subject |
constraint propagation |
en |
| dc.subject |
constrained search |
en |
| dc.subject |
inheritance |
en |
| dc.subject |
identification trees |
en |
| dc.subject |
neural nets |
en |
| dc.subject |
genetic algorithms |
en |
| dc.subject |
human intelligence |
en |
| dc.subject |
knowledge representation |
en |
| dc.subject |
intelligent systems |
en |
| dc.title |
6.034 Artificial Intelligence, Fall 2002 |
en |
| dc.title.alternative |
Artificial Intelligence |
en |
| dc.audience.educationlevel |
Undergraduate |
|
| dc.subject.cip |
110102 |
en |
| dc.subject.cip |
Artificial Intelligence and Robotics |
en |
