Artificial intelligence: a modern approach
1995/11/01 by Dr. Anil Kumar, Sivasubramanian Balasubramanian, Dr. Haewon Byeon +1 · 203 citations
Computer Science · Engineering · #Cognitive Computing and Networks #Advanced Research in Systems and Signal Processing
paper · doi:10.5860/choice.33-1577
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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