Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms
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• Agents and environments • Rationality • PEAS (Performance measure, Environment, Actuators, Sensors) • Environment types • Agent types
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• Learning agents • Inductive learning • Decision tree learning
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《Artificial Intelligence:A Modern Approach》教学资源(PPT课件,英文版)Chapter 14-Bayesian networks
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• Uncertainty • Probability • Syntax and Semantics • Inference • Independence and Bayes' Rule
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《Artificial Intelligence:A Modern Approach》教学资源(PPT课件,英文版)Chapter 1-Introduction
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《Artificial Intelligence:A Modern Approach》教学资源(讲义,英文版)chapter25
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《Artificial Intelligence:A Modern Approach》教学资源(讲义,英文版)chapter25-6pp
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《Artificial Intelligence:A Modern Approach》教学资源(讲义,英文版)chapter22
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《Artificial Intelligence:A Modern Approach》教学资源(讲义,英文版)chapter22-6pp
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