Artificial Intelligence, Fall 2002: Lecture Notes

posted by CS OER author on Wed, 05/23/2012 - 16:19

Resources:

Lecture 01: What is Artificial Intelligence (AI)?

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture1Final.pdf

Lecture 02: Problem Solving and Search

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture2Final.pdf

Lecture 03: Logic

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture3Final.pdf

Lecture 04.: Satisfiability and Validity

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture4RevisedPart1.pdf

Lecture 05.: First-Order Logic

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture5FinalPart1Save.pdf

Lecture 07.: Resolution Theorem Proving: Propositional Logic

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture7FinalPart1.pdf

Lecture 08.: Resolution Theorem Proving: First Order Logic

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture8FinalPart1.pdf

Lecture 09: Logic Miscellanea

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture9Final.pdf

Lecture 10: Planning

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture10FinalPart1.pdf

Lecture 11: Partial-Order Planning Algorithms

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture11FinalPart1.pdf

Lecture 12: Graph Plan

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture12FinalPart1.pdf

Lecture 13: Planning Miscellany

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture13FinalPart1.pdf

Lecture 14: Probability

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture14FinalPart1.pdf

Lecture 15: Bayesian Networks

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture15FinalPart1.pdf

Lecture 16: Inference in Bayesian Networks

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture16FinalPart1.pdf

Lecture 17: Where do Bayesian Networks Come From?

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture17FinalPart1.pdf

Lecture 18: Learning With Hidden Variables

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture18FinalPart1.pdf

Lecture 19: Decision Making under Uncertainty

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture19FinalPart1.pdf

Lecture 20: Markov Decision Processes

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture20FinalPart1.pdf

Lecture 22: Reinforcement Learning

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002/lecture-notes/Lecture22Final.pdf