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Course Outline

The History of Artificial Intelligence

  • Intelligent Agents

Problem Solving

  • Approaching Problems Through Search
  • Expanding Beyond Classical Search
  • Adversarial Search
  • 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

Reasoning with Uncertain Knowledge

  • Measuring Uncertainty
  • Probabilistic Reasoning
  • Temporal Probabilistic Reasoning
  • Making Simple Decisions
  • Navigating Complex Decisions

Learning

  • Learning via Examples
  • Role of Knowledge in Learning
  • Training Probabilistic Models
  • Reinforcement Learning

Communication, Perception, and Action;

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

Conclusions

  • Philosophical Underpinnings
  • AI: Current State and Future Outlook

Requirements

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

 7 Hours

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