Lecture2.ppt Knowledge Representation (Introduction, KR and logic)
Lecture3.ppt Knowledge Representation
(More logic, Semantic Networks and Frames)
Lecture4.ppt AI: Prolog
(Review of Prolog Rules and Facts, Prolog Syntax, Matching)
Lecture5.ppt Artificial Intelligence: Knowledge Representation
(Rule-Based Systems, Forward and Backward, Chaining, Uncertainty, Expert)
Lecture6.ppt Artificial Intelligence: Knowledge Representation
(Using Search in Problem Solving, Intro, Basic Search Techniques, Heuristic Search)
Lecture7.ppt Artificial Intelligence: Prolog
(Recursion, Lists, Arithmetic)
Lecture8.ppt Artificial Intelligence: Planning
(Problems with state space search, Planning Operators, A Simple Planning Algorithm, (Game Playing)
Lecture9.ppt Artificial Intelligence: Natural Language
(Intro, Syntax, Semantics, Pragmatics)
Lecture10.ppt Artificial Intelligence: Natural Language and Prolog
(Prolog and NL Grammars, Other bits of Prolog)
Lecture11.ppt Artificial Intelligence: Natural Language
(A little more on grammars, Semantics, Pragmatics, Generation)
Lecture12.ppt Artificial Intelligence: Vision
(Intro, Stages of analysis, Low level vision)
Lecture13.ppt Artificial Intelligence: More Vision
(Review, Obtaining depth and orientation info, Recognizing objects)
Lecture14.ppt Artificial Intelligence: Advanced Search and Machine Learning
(Learning – Intro, Learning and Search, Genetic Algorithms)
Lecture15.ppt Artificial Intelligence: Advanced Search and Machine Learning
(Decision Tree Induction, Neural Nets, Evaluating Machine Learning Systems)
Lecture16.ppt Artificial Intelligence: Applications
(Expert Systems)
Lecture17.ppt Artificial Intelligence: Web Applications
(Knowledge and the Web, Semantic Web, Information Extraction)
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