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Course Outline

The History of Artificial Intelligence

  • Intelligent Agents

Problem-Solving Techniques

  • Solving Problems Through Search
  • Search Beyond Classical Methods
  • Adversarial Search
  • Constraint Satisfaction Problems

Knowledge and Reasoning

  • Logical Agents
  • First-Order Logic
  • Inference in First-Order Logic
  • Classical Planning
  • Planning and Acting in Real-World Scenarios
  • Knowledge Representation

Reasoning with Uncertain Knowledge

  • Measuring Uncertainty
  • Probabilistic Reasoning
  • Temporal Probabilistic Reasoning
  • Simple Decision-Making
  • Complex Decision-Making

Machine Learning

  • Learning from Examples
  • Utilizing Knowledge in Learning
  • Learning Probabilistic Models
  • Reinforcement Learning

Communication, Perception, and Action

  • Natural Language Processing
  • Using Natural Language for Communication
  • Perception
  • Robotics

Conclusions

  • Philosophical Foundations
  • AI: Current State and Future Prospects

Requirements

Basic familiarity with computing, biology, mathematics, and physics

 7 Hours

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