推论
人工智能,定位方法
人工智能
计算机科学
概率逻辑
认知机器人学
符号人工智能
强化学习
认知科学
机器人
心理学
作者
Stuart Russell,Peter Norvig
出处
期刊:Choice Reviews Online
[American Library Association]
日期:1995-11-01
卷期号:33 (03): 33-1577
被引量:22544
标识
DOI:10.5860/choice.33-1577
摘要
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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