Artificial Intelligence For Undergraduate Students
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Artificial Intelligence for Undergraduate Students provides a comprehensive introduction to AI, blending foundational concepts with practical applications. The book explores the history and foundations of AI, intelligent agents, and their environments, as well as expert systems and chatbots. It delves into uncertainty handling, reasoning with Bayes' rule, and search strategies like A* and greedy best-first search. Knowledge-based agents are covered extensively, including logic, reasoning patterns, and inference methods. With rich visuals (29 figures, 12 tables) and accessible language, this te...
Artificial Intelligence for Undergraduate Students provides a comprehensive introduction to AI, blending foundational concepts with practical applications. The book explores the history and foundations of AI, intelligent agents, and their environments, as well as expert systems and chatbots. It delves into uncertainty handling, reasoning with Bayes' rule, and search strategies like A* and greedy best-first search. Knowledge-based agents are covered extensively, including logic, reasoning patterns, and inference methods. With rich visuals (29 figures, 12 tables) and accessible language, this textbook serves as an engaging resource for students embarking on their AI journey, equipping them with the tools to navigate this dynamic field.