Introduction to Artificial Intelligence by Marc Toussaint
Mark Toussaint's 'Introduction to Artificial Intelligence' provides a comprehensive overview of basic and advanced AI concepts. The text delves into research design, probability theory, and the multi-armed robber problem, laying a solid foundation for understanding decision-making processes It requires Monte Carlo Tree Search and games theoretically, providing insight into the process of solving problems. The book talks about dynamic design and reinforcement learning, and shows how AI workers learn and adapt over time. Other topics include constraint satisfaction problems, graphical modeling, and dynamic simulation, highlighting various approaches to dealing with complex, interacting fields The text addresses AI and machine learning and neural network management focusing on the importance of AI presentation Both the theoretical and practical aspects of the I Provides a suitable ground.
Author(s): Marc Toussaint
248 Pages 
Artificial Intelligence Foundations of Computational Agents
This book contains below topics, What is artificial intelligence, Agent architectures and search, Reasoning with constraints, Propositions and inference, Planning, Supervised machine learning, Neural networks and deep learning, Reasoning and planning under uncertainty, Multiagent systems, Reinforcement learning.
Author(s): David L. Poole and Alan K. Mackworth, University of British Columbia
904 Pages
Lecture note on Artificial Intelligence
This note describes the following topics, introduction to AI and production systems, Representation of Knowledge, Knowledge Representation using predicate logic, Knowledge Inference, Planning and Machine Learning, Expert Systems and Meta Knowledge.
Author(s): St Anne College of Engineering and Technology
173 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
Lecture Notes On Artificial Intelligence By Dr Prashanta Kumar Patra
This book covers the following topics, AI Technique, Level of the Model,Problem Spaces, and Search, Defining the Problem as a State Space Search, Production Systems, Problem Characteristics, Production System Characteristics, Issues in the Design of Search Programs. Heuristic Search Techniques, GenerateandTest, Hill Climbing, Bestfirst Search, Problem Reduction, Constraint Satisfaction, Meansends, Symbolic Reasoning Under Uncertainty, Game Playing, Learning, Rote Learning.
Author(s): Dr. Prashanta Kumar Patra
128 Pages
