Artificial intelligence - Info and Reading Options
a modern approach
By Stuart J. Russell and Peter Norvig
"Artificial intelligence" was published by Prentice Hall in 1995 - Englewood Cliffs, N.J, it has 932 pages and the language of the book is English.
“Artificial intelligence” Metadata:
- Title: Artificial intelligence
- Authors: Stuart J. RussellPeter Norvig
- Language: English
- Number of Pages: 932
- Publisher: Prentice Hall
- Publish Date: 1995
- Publish Location: Englewood Cliffs, N.J
“Artificial intelligence” Subjects and Themes:
- Subjects: ➤ problem solving - constraint satisfaction - knowledge - reasoning - planning - uncertainty - learning - Компьютеры - Кибернетика: Искусственный интеллект - Computers - Cybernetics: Artificial Intelligence - Künstliche Intelligenz - 0 Gesamtdarstellung - Study and teaching - Handbooks, manuals - Intelligence artificielle - Étude et enseignement - Guides, manuels - Kunstmatige intelligentie - Raisonnement (Informatique) - Résolution de problème - Apprentissage automatique - Agent intelligent - Thought and thinking - Pensée - Thinking - Sztuczna inteligencja - Logique symbolique et mathématique - Algorithmes - Resolution de probleme - Q335 .r86 1995 - 006.3 - Q335 .r86 2010 - Q335 .r86 2003 - Nonfiction - Long Now Manual for Civilization - Artificial intelligence
- Time: 2000-
Edition Specifications:
- Pagination: xxviii, 932 p. :
Edition Identifiers:
- The Open Library ID: OL1110673M - OL2896994W
- Online Computer Library Center (OCLC) ID: 31288015
- Library of Congress Control Number (LCCN): 94036444
- ISBN-10: 0131038052
- All ISBNs: 0131038052
AI-generated Review of “Artificial intelligence”:
"Artificial intelligence" Description:
The Open Library:
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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