Techniques in Artificial Intelligence (SMA 5504)

A graphic showing a Mars Rover-like robot in a sandy, rocky environment. A circular path of words is overlaid, with the words Precepts - Agent - Actions - Environment (and back to Precepts again).

An example of the agent and environment dichotomy. This figure illustrates a robot taking actions that affect the state of the environment then receiving percepts with new information on the environment. (Image courtesy of Beryl Simon.)

Instructor(s)

MIT Course Number

6.825

As Taught In

Fall 2002

Level

Graduate

Cite This Course

Course Features

Course Description

6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).

Lozano-Pérez, Tomás, and Leslie Kaelbling. 6.825 Techniques in Artificial Intelligence (SMA 5504), Fall 2002. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002 (Accessed). License: Creative Commons BY-NC-SA


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