Artificial Intelligence: Foundations of Computational Agents

Artificial Intelligence: Foundations of Computational Agents

A textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.

Publication date: 19 Apr 2010

ISBN-10: 0521519004

ISBN-13: 9780521519007

Paperback: 682 pages

Views: 4,441

Type: N/A

Publisher: Cambridge University Press

License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada

Post time: 24 Jun 2016 01:15:00

Artificial Intelligence: Foundations of Computational Agents

Artificial Intelligence: Foundations of Computational Agents A textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.
Tag(s): Artificial Intelligence
Publication date: 19 Apr 2010
ISBN-10: 0521519004
ISBN-13: 9780521519007
Paperback: 682 pages
Views: 4,441
Document Type: N/A
Publisher: Cambridge University Press
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada
Post time: 24 Jun 2016 01:15:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada:
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From the Preface:
David Poole and Alan Mackworth wrote:Artificial Intelligence: Foundations of Computational Agents is a book about the science of artificial intelligence (AI). The view we take is that AI is the study of the design of intelligent computational agents. The book is structured as a textbook but it is designed to be accessible to a wide audience.

We wrote this book because we are excited about the emergence of AI as an integrated science. As with any science worth its salt, AI has a coherent, formal theory and a rambunctious experimental wing. Here we balance theory and experiment and show how to link them intimately together. We develop the science of AI together with its engineering applications. We believe the adage, "There is nothing so practical as a good theory." The spirit of our approach is captured by the dictum, "Everything should be made as simple as possible, but not simpler." We must build the science on solid foundations; we present the foundations, but only sketch, and give some examples of, the complexity required to build useful intelligent systems. Although the resulting systems the will be complex, the foundations and the building blocks should be simple.




About The Author(s)


Alan Mackworth is a Professor in the Department of Computer Science at the University of British Columbia. His research program is focused on constraint-based computational intelligence.

Alan Mackworth

Alan Mackworth is a Professor in the Department of Computer Science at the University of British Columbia. His research program is focused on constraint-based computational intelligence.


David Poole is a Professor in the Department of Computer ScienceUniversity of British Columbia. His main research interests are artificial intelligence, knowledge representation, reasoning under uncertainty, computational logic, diagnosis, probabilistic argumentation systems, reasoning about actions, decision theoretic planning, intelligent agents, and preference elicitation.

David Poole

David Poole is a Professor in the Department of Computer ScienceUniversity of British Columbia. His main research interests are artificial intelligence, knowledge representation, reasoning under uncertainty, computational logic, diagnosis, probabilistic argumentation systems, reasoning about actions, decision theoretic planning, intelligent agents, and preference elicitation.


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