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Artificial Intelligence by Prof. Hugh Murrell
This note covers the following topics: Introduction to Artificial Intelligence, State Space, Representation and Search, Prolog Introduction, Lists, Predicates and Relations, IO, Arithmetic and Control flow, Recursion with Examples, Games, Heuristics, Game Playing, Knowledge Representation, Threshold Logic Units and Artificial Neural networks.
Author(s): Prof. Hugh Murrell
NA Pages 
Artificial Intelligence and Games
This PDF covers the following topics related to Artificial Intelligence and Games : AI Methods, Ways of Using AI in Games, Playing Games, Generating Content, Modeling Players, Game AI Panorama, Frontiers of Game AI Research.
Author(s): Georgios N. Yannakakis, Julian Togelius
359 Pages
Artificial Intelligence by Prof. Pallab Dasgupta and Prof. Partha Pratim Chakrabarti
This note covers the following topics: Problem Solving by Search, Informed State Space Search, Propositional Logic, Informed State Space Search, AND/OR Graphs and Game Trees, Method of Resolution Refutation, GraphPLAN and SATPlan, Reasoning under Uncertainty, Learning Decision Trees, Convolutional and Recurrent Neural Networks.
Author(s): Prof. Pallab Dasgupta and Prof. Partha Pratim Chakrabarti
NA Pages
Introduction to Artificial Intelligence by Cristina Conati
This note provides an introduction to the field of artificial intelligence. Major topics covered includes: reasoning and representation, search, constraint satisfaction problems, planning, logic, reasoning under uncertainty, and planning under uncertainty.
Author(s): Cristina Conati
NA Pages
Artificial Intelligence Lecture Materials
This note will provide an introduction to the field of Artificial Intelligence. It will cover a number of AI ideas and techniques, as well as give you a brief introduction to symbolic computing.
Author(s): Diane Cook
NA Pages
Introduction to Artificial Intelligence
This note explains the following topics: Search, Game playing, Logic, Planning, Probabilistic reasoning, Decision theory, Markov decision processes, POMDPs, Game theory, Machine learning, Wrapping up.
Author(s): Vincent Conitzer
NA Pages
Techniques of Artificial Intelligence by Vrije Universiteit Brussel
This note explains the following topics: State Space Search, Decision Trees, Evaluating Hypotheses, Evaluation of hypothesis, Neural Networks, Computational Learning Theory, DMF Clustering, Data Mining, Text Mining, Graph Mining, Text Mining.
Author(s): Vrije Universiteit Brussel
NA Pages
Artificial Intelligence Lecture Notes MIT
This course note introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view.
Author(s): Prof. Leslie Kaelbling and Prof. Tomas Lozano-Perez
NA Pages
Practical Artificial Intelligence Programming in Java
This book is for both professional programmers and home hobbyists who already know how to program in Java and who want to learn practical Artificial Intelligence (AI) programming and information processing techniques. Topics covered includes: Search, Reasoning, Semantic Web, Expert Systems, Genetic Algorithms, Neural Networks, Machine Learning with Weka, Statistical Natural Language Processing.
Author(s): Mark Watson
222 Pages
Machine Learning, Neural and Statistical Classification
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Pages
Building Expert Systems In Prolog
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