6.034 Artificial Intelligence, Fall 2002
Name
6-034Fall-2002/OcwWeb/Electrical-Engineering-and-Computer-Science/6-034Artificial-IntelligenceFall2002/CourseHome/index.htm
Size
15.84 KB
Format
HTML
Checksum (MD5)
e439300a3d8687093097426889b30855
Author(s)
Winston, Patrick Henry
Alternative Title
Artificial Intelligence
Date Issued
December 2002
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.
Subjects
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
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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