Artificial Intelligence: Foundations of Computational Agents

by David L. Poole, Alan K. Mackworth

Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the basic approaches fit into a multidimensional design space, readers learn the fundamentals without losing sight of the bigger picture. The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications. Although structured as an undergraduate and graduate textbook, the book's straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.

Genres: Computer Science, Artificial Intelligence, Nonfiction, Academic, Textbooks, Technology, Philosophy

820 pages, Hardcover

First published May 30, 2006

Reviews

[Tien Manh · Rating 4 out of 5]

CPSC 322!

[Mehmet Davut · Rating 5 out of 5]

If you don't know anything about the Artificial Intelligence theory and know some linear algebra and probability, this book is great. It makes you understand what is different about programming an Artificial Intelligence application than the traditional applications. I liked the book's theoretical approach while teaching Artificial Intelligence subject, good examples!

Just beware that it doesn't teach how to implement any Artificial Intelligence application, but makes you understand how to build them.