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Fully updated and revised, this third edition introduces three new chapters covering neural networks and deep learning, including topics such as generative AI, causality, and the social, ethical, and regulatory implications of artificial intelligence. All sections have been refreshed with tried-and-true methodologies. The book’s innovative agent design space offers a structured framework for learning, reasoning, and decision-making. A wealth of realistic applications and examples enhances student comprehension. Each concept or algorithm is articulated in pseudocode and open-source AIPython code, allowing students the opportunity to experiment with and expand upon the implementations. The book also features five extensive case studies that link design methods with real-world applications. Each chapter now includes a section on social impact, helping students grasp the implications of different techniques as they learn. This essential teaching resource for both undergraduate and graduate AI courses is supplemented with lecture slides, solutions, and code.
Publisher : Cambridge University Press
Publication date : September 21, 2023
Edition : 3rd
Language : English
Print length : 900 pages
ISBN-10 : 1009258192
ISBN-13 : 978-1009258197
Item Weight : 4.3 pounds
Dimensions : 7.25 x 1.75 x 10 inches
Best Sellers Rank: #353,035 in Books (See Top 100 in Books) #161 in Natural Language Processing (Books) #169 in Computer Neural Networks #1,125 in Computer Science (Books)
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