Artificial intelligence : a modern approach

By:

Russell, Stuart J.; Norvig, Peter

Material type: Text

TextPublication details: Noida Pearson 2017- 18th ImpressionEdition: 3rd EditionDescription: xviii,1145p. PbkISBN:

978-9332543515

Subject(s):

Artificial intelligence Artificial intelligence study and Teaching

DDC classification:

006.3 RUS

Contents:

I Artificial intelligence II Problem solving III Knowledge reasoning and planning IV Uncertain knowledge and reasoning V Learning VI Communicating, perceiving and acting VII Conclusions.

Summary: Intelligent Agents - Stuart Russell and Peter Norvig show how intelligent agents can be built using AI methods, and explain how different agent designs are appropriate depending on the nature of the task and environment. Artificial Intelligence: A Modern Approach is the first AI text to present a unified, coherent picture of the field. The authors focus on the topics and techniques that are most promising for building and analyzing current and future intelligent systems. The material is comprehensive and authoritative, yet cohesive and readable. State of the Art - This book covers the most effective modern techniques for solving real problems, including simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural networks, adaptive probabilistic networks, inductive logic programming, computational learning theory, and reinforcement learning. Leading edge AI techniques are integrated into intelligent agent designs, using examples and exercises to lead students from simple, reactive agents to advanced planning agents with natural language capabilities.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	006.3 RUS (Browse shelf(Opens below))	Available		B2483

SRS/18-128/Rs.849/-

I Artificial intelligence
II Problem solving
III Knowledge reasoning and planning
IV Uncertain knowledge and reasoning
V Learning
VI Communicating, perceiving and acting
VII Conclusions.

Intelligent Agents - Stuart Russell and Peter Norvig show how intelligent agents can be built using AI methods, and explain how different agent designs are appropriate depending on the nature of the task and environment. Artificial Intelligence: A Modern Approach is the first AI text to present a unified, coherent picture of the field. The authors focus on the topics and techniques that are most promising for building and analyzing current and future intelligent systems. The material is comprehensive and authoritative, yet cohesive and readable. State of the Art - This book covers the most effective modern techniques for solving real problems, including simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural networks, adaptive probabilistic networks, inductive logic programming, computational learning theory, and reinforcement learning. Leading edge AI techniques are integrated into intelligent agent designs, using examples and exercises to lead students from simple, reactive agents to advanced planning agents with natural language capabilities.

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