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Artificial Intelligence, Spring 2005

 
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Type: Course Related Materials
Grade Level: Post-secondary
Author: Lozano-Pérez, Tomás
Subject: Science and Technology
Institution Name: M.I.T.
Collection Name: MIT OpenCourseWare

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.

Details

Course Type: Full Course
Material Types: Activities and Labs, Assessments, Homework and Assignments, Lecture Notes, Syllabi
Media Formats: Text/HTML, Downloadable docs
Language: English

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