Artificial intelligence : a new synthesis

By:

Nilsson, Nils J

Material type: Book

BookPublication details: San Francisco: Morgan Kaufmann, 1998Description: xxi, 513p. : ill ; hb ; 24cmISBN:

9781558604674

Subject(s):

DDC classification:

006.3 NIL

Summary: Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	006.3 NIL (Browse shelf(Opens below))	1	Available		030581

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Previous	006.3 MES Graph theoretic methods in multiagent networks	006.3 MIN Perceptrons : an introduction to computational geometry	006.3 MIT Artificial intelligence : a guide for thinking humans	006.3 NIL Artificial intelligence : a new synthesis	006.3 PER Embodied computing: wearables, implantables, embeddables, ingestibles	006.3 PRE Scholarpedia of touch	006.3 PRE Living machines: a handbook of research in biomimetics and biohybrid systems	Next

Includes bibliography and index

Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index.

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