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November 1, 1995Choice Reviews Online22,263 citationsOpen Access

Artificial intelligence: a modern approach

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SRStuart RussellPNPeter Norvig

Key Points

  • The aim is to provide a thorough introduction to artificial intelligence, covering its theories and practical applications.
  • Comprehensive overview of AI concepts including intelligent agents, search methods, and decision-making.
  • Discussion of learning techniques like neural networks and reinforcement learning.
  • Exploration of logic, reasoning, and communication within AI systems.
  • Outlined diverse applications of AI including robotics and language communication.
  • Illustrated various reasoning and learning methodologies in AI.
  • Emphasized the relevance of AI for computer professionals, linguists, and cognitive scientists.

Abstract

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.

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Cite This Study

Russell et al. (1995) studied this question.

synapsesocial.com/papers/6960102456d78987edb8d0cbhttps://doi.org/10.5860/choice.33-1577
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