Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present.

N� de ref. del art�culo GBV.110719539X.G

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Detalles bibliogr�ficos

T�tulo: Artificial Intelligence: Foundations of Computational Agents
Editor: Cambridge University Press
Fecha de publicaci�n: 2017
Idioma: Ingl�s
ISBN 10: 110719539X
ISBN 13: 9781107195394
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 2� Edici�n
Estado: good

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Sinopsis

Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the basic approaches fit into a multidimensional design space, readers learn the fundamentals without losing sight of the bigger picture. The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications. Although structured as an undergraduate and graduate textbook, the book's straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.

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David L. Poole is a Professor of Computer Science at the University of British Columbia. He is a co-author of three artificial intelligence books including Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (2016). He is a former Chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) 2013 Lifetime Achievement Award, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and CAIAC.

Alan K. Mackworth is a Professor of Computer Science at the University of British Columbia. He has authored over 130 papers and co-authored two books: Computational Intelligence: A Logical Approach (1997) and Artificial Intelligence: Foundations of Computational Agents (2010). His awards include the Artificial Intelligence Journal (AIJ) Classic Paper Award and the Association of Constraint Programming (ACP) Award for Research Excellence. He has served as President of the International Joint Conference on Artificial Intelligence (IJCAI), the Association for the Advancement of Artificial Intelligence (AAAI) and the Canadian AI Association (CAIAC). He is a Fellow of AAAI, CAIAC and the Royal Society of Canada.

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