R7. Near Misses, Arch Learning 
R7. Near Misses, Arch Learning
by MIT
Video Lecture 30 of 30
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Views: 842
Date Added: July 1, 2016

Lecture Description

Instructor: Mark Seifter

This mega-recitation covers a question from the Fall 2007 final exam, in which we teach a robot how to identify a table lamp. Given a starting model, we identify a heuristic and adjust the model for each example; examples can be hits or near misses.

Course Index

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.


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