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Artificial intelligence : foundataions of computational agents /

"Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs,...

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Bibliographic Details
Main Authors: Poole, David L. (David Lynton), 1958- (Author)
Group Author: Mackworth, Alan K.
Published: Cambridge University Press,
Publisher Address: Cambridge, United Kingdom :
Publication Dates: 2023.
Literature type: Book
Language: English
Edition: Third edition.
Subjects:
Computational intelligence > Textbooks.
Artificial intelligence > Textbooks.
Computational intelligence.
Summary: "Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision-making, and more AIPython code"--
Carrier Form: xxv, 870 pages : illustrations ; 26 cm
Bibliography: Includes bibliographical references (pages 807-842) and index.
ISBN: 9781009258197
1009258192
Index Number: Q342
CLC: TP18
Call Number: TP18/P822/3rd ed.
Contents: Part I. Agents in the world -- 1. Artificial intelligence and agents -- 2. Agent architectures and hierarchical control -- Part II. Reasoning and planning with certainty -- 3. Searching for solutions -- 4. Reasoning with constraints -- 5. Propositions and inference -- 6. Deterministic planning -- Part III. Learning and reasoning with uncertainty -- 7. Supervised machine learning -- 8. Neural networks and deep learning -- 9. Reasoning with uncertainty -- 10. Learning with uncertainty -- 11. Causality -- Part IV. Planning and acting with uncertainty -- 12. Planning with uncertainty -- 13. Reinforcement learning -- 14. Multiagent systems -- Part V. Representing individuals and relations -- 15. Individuals and relations -- 16. Knowledge graphs and ontologies -- 17. Relational learning and probabilistic reasoning -- Part VI. The big picture -- 18. The social impact of artificial intelligence -- 19. Retrospect and prospect.

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