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Course Outline

The History of Artificial Intelligence

  • Intelligent Agents

Problem Solving

  • Approaches to Problem Solving via Search
  • Extending Classical Search Methods
  • Adversarial Search Techniques
  • Constraint Satisfaction Problems

Knowledge and Reasoning

  • Logical Agents
  • First-Order Logic
  • Inference Techniques in First-Order Logic
  • Classical Planning
  • Planning and Execution in Real-World Scenarios
  • Methods of Knowledge Representation

Knowledge and Reasoning Under Uncertainty

  • Measuring and Quantifying Uncertainty
  • Probabilistic Reasoning
  • Time-Based Probabilistic Reasoning
  • Decision-Making in Simple Contexts
  • Navigating Complex Decisions

Learning

  • Learning Through Examples
  • The Role of Knowledge in Learning
  • Training Probabilistic Models
  • Reinforcement Learning

Communication, Perception, and Action

  • Natural Language Processing
  • Natural Language for Effective Communication
  • Sensory Perception
  • Robotics

Conclusions

  • Philosophical Underpinnings of AI
  • AI: Current Status and Future Trajectories

Requirements

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

 7 Hours

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