Very Good condition. 4th edition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. NOT AVAILABLE FOR SHIPMENT OUTSIDE OF THE UNITED STATES.

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Detalles bibliogr�ficos

T�tulo

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition)

Editor

Addison Wesley

Fecha de publicaci�n

2001

Idioma

Ingl�s

ISBN 10

0201648660

ISBN 13

9780201648669

Encuadernaci�n

Encuadernaci�n de tapa dura

Edici�n

4� Edici�n

Estado

Very Good

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Sinopsis

Artificial intelligence (AI) began as the quest to create machines that could think for themselves and (perhaps) out-think humans: the holy grail of computing! Over the years, while still exploring the mechanisms that enable thought, AI has evolved into a more pragmatic discipline. AI uses different strategies to solve the complex practical problems that present themselves wherever computing technology is applied. And intelligence itself is now known to be too complex to be described by any single theory - instead, a constellation of theories characterize the subject from different levels of abstraction. At the lowest levels, neural networks, genetic algorithms and other forms of computation aid understanding of adaptation, perception, embodiment, and interaction with the physical world. On a more abstract level, designers of expert systems, intelligent agents, stochastic models, and natural language understanding programs reflect the role of knowledge and social processes in creating, transmitting and sustaining knowledge. Further, logicians propose deduction, abduction, induction, truth-maintenance, and other models and modes for reasoning. In this fourth edition, George Luger touches on all these levels of structures and strategies for complex problem solving, as well as conveying excitement for the study of intelligence itself. He shows how to use many different software tools and techniques for addressing the complex problems that challenge the modern computer scientist.

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