Artificial Intelligence History
Intelligent Agents
Problem Solving
Solving Problems by Searching
Beyond Classical Search
Adversarial Search
Constraint Satisfaction Problems
Knowledge and Reasoning
Logical Agents
First-Order Logic
Inference in First-Order Logic
Classical Planning
Planning and Acting in the Real World
Knowledge Representation
Uncertain Knowledge and Reasoning
Quantifying Uncertainty
Probabilistic Reasoning
Probabilistic Reasoning over Time
Making Simple Decisions
Making Complex Decisions
Learning
Learning from Examples
Knowledge in Learning
Learning Probabilistic Models
Reinforcement Learning
Communicating, Perceiving, and Acting;
Natural Language Processing
Natural Language for Communication
Perception
Robotics
Conclusions
Philosophical Foundations
AI: The Present and Future |
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總部李老師
