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Artificial Intelligence Foundations of Computational Agents

Authors

David L. Poole
, University of British Columbia, Vancouver,
Alan K. Mackworth
, University of British Columbia, Vancouver
Published 2023

Description

Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source…

New in this edition

  • New chapters on deep learning, causality, and social impact 

  • Social impact sections in each chapter give students context on ethical and societal impacts of AI 

  • More content on modern machine learning, giving students a greater understanding of one of the key tools in modern AI 

  • Closer integration with AIPython code/design space, giving students more scope for experimentation and developing coding skills 

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Key features

  • Introduces concepts at the right level of detail, using straightforward language and minimum mathematics
  • Examines the social and ethical impacts of AI, connecting techniques to real-world benefits and harms
  • Explains state-of-the-art algorithms and examples underlying the theory, demonstrating how concepts are applied
  • Provides two complementary software systems – AIPython and AILog - for experimentation and extension
  • Pedagogical features include examples, end-of-chapter reviews, further reading lists, and exercises

Awards

  • 2026 Patrick Henry Winston Outstanding Educator Award, Association for the Advancement of Artificial Intelligence/Educational Advances in Artificial Intelligence

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