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Course Outline

Artificial Intelligence History

  • Intelligent Agents

Problem Solving

  • Problem Solving via Search
  • Extensions Beyond Classical Search
  • Adversarial Search Techniques
  • Constraint Satisfaction Problems

Knowledge and Reasoning

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

Uncertain Knowledge and Reasoning

  • Quantifying Uncertainty
  • Probabilistic Reasoning
  • Probabilistic Reasoning over Time
  • Simple Decision-Making
  • Complex Decision-Making

Learning

  • Learning from Examples
  • The Role of 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

Requirements

A foundational understanding of computing, biology, mathematics, and physics.

 7 Hours

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