Artificial Intelligence: Foundations of Computational Agents

This third edition of the textbook provides a comprehensive and up-to-date introduction to artificial intelligence, covering neural networks and deep learning, agent design, and social impact. It includes realistic applications and examples, pseudocode, and open-source AIPython code, and is accompanied by lecture slides, solutions, and code.

Format: Hardback
Length: 900 pages
Publication date: 13 July 2023
Publisher: Cambridge University Press

This third edition of the textbook has been extensively revised and updated, encompassing three new chapters on neural networks and deep learning. These chapters delve into topics such as generative AI, causality, and the social, ethical, and regulatory implications of artificial intelligence. Each chapter has been thoroughly revised to incorporate the most effective methods and techniques, ensuring that students have access to the most up-to-date information.

The book's unique agent design space offers a coherent framework for learning, reasoning, and decision-making. Numerous real-world applications and examples are provided to facilitate student understanding, making the concepts and algorithms more accessible and relevant.

To enhance student learning, every concept or algorithm is presented in pseudocode and open-source AIPython code. This allows students to experiment with and build upon the implementations, fostering a deeper understanding of the topics.

Five larger case studies are developed throughout the book, connecting the design approaches to real-world applications. Each chapter now includes a social impact section, enabling students to understand the broader societal implications of the various AI techniques they are learning.

This comprehensive textbook is an invaluable teaching package for undergraduate and graduate AI courses. It is accompanied by lecture slides, solutions, and code, providing students with a comprehensive resource for their studies.

In conclusion, this third edition of the textbook is a must-have for anyone interested in AI and its applications. With its extensive revisions, updated content, and practical examples, it provides students with a comprehensive and up-to-date understanding of the field. Whether you are a student, researcher, or professional, this textbook will be an invaluable resource for your AI journey.

ISBN-13: 9781009258197
Edition number: 3 Revised edition