9781107195394-110719539X-Artificial Intelligence: Foundations of Computational Agents

Artificial Intelligence: Foundations of Computational Agents

ISBN-13: 9781107195394
ISBN-10: 110719539X
Edition: 2
Author: David L. Poole, Alan K. Mackworth
Publication date: 2017
Publisher: Cambridge University Press
Format: Hardcover 820 pages
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Book details

ISBN-13: 9781107195394
ISBN-10: 110719539X
Edition: 2
Author: David L. Poole, Alan K. Mackworth
Publication date: 2017
Publisher: Cambridge University Press
Format: Hardcover 820 pages

Summary

Artificial Intelligence: Foundations of Computational Agents (ISBN-13: 9781107195394 and ISBN-10: 110719539X), written by authors David L. Poole, Alan K. Mackworth, was published by Cambridge University Press in 2017. With an overall rating of 4.3 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent Artificial Intelligence: Foundations of Computational Agents (Hardcover, Used) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.34.

Description

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.

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