Artificial Intelligence: A New Synthesis

Nils J. Nilsson

ISBN 10: 1558605355 / ISBN 13: 9781558605350

Verlag: Elsevier Science and Technology, US, 1998

Beschreibung

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.

Bestandsnummer des Verkäufers LU-9781558605350

Bibliografische Details

• Titel: Artificial Intelligence: A New Synthesis
• Verlag: Elsevier Science and Technology, US
• Erscheinungsjahr: 1998
• Sprache: Englisch
• ISBN-10: 1558605355
• ISBN-13: 9781558605350
• Einband: Paperback
• Zustand: New
• Gewicht: 900 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Nils J. Nilsson's long and rich research career has contributed much to AI. He has written many books, including the classic Principles of Artificial Intelligence. Dr. Nilsson is Kumagai Professor of Engineering, Emeritus, at Stanford University. He has served on the editorial boards of Artificial Intelligence and Machine Learning and as an Area Editor for the Journal of the Association for Computing Machinery. Former Chairman of the Department of Computer Science at Stanford, and former Director of the SRI Artificial Intelligence Center, he is also a past president and Fellow of the American Association for Artificial Intelligence.