Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig (2016)

Artificial Intelligence: A Modern Approach provides an overview of AI, its history, and its current and future applications.

It covers topics such as search algorithms, constraint satisfaction, and Bayesian networks, as well as heuristic methods, robotics, and natural language processing.

It also delves into the philosophical and ethical implications of artificial intelligence and suggests ways to address the challenges posed by these implications.

The book includes case studies from a variety of disciplines, including engineering, computer science, cognitive science, psychology, and economics.

It also examines the various aspects of AI, from its history, current state, and future possibilities, to the various practical and theoretical approaches.

The authors present the ideas in an accessible and concise manner, making it suitable for both experienced professionals and students.

They also provide a comprehensive set of exercises to help readers understand and apply the concepts presented in the book.

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