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Course Outline

The Evolution of Artificial Intelligence

  • Intelligent Agents

Problem Resolution Techniques

  • Tackling Issues Through Search
  • Expanding Beyond Standard Search
  • Competitive Search
  • Addressing Constraint Satisfaction Issues

Knowledge Systems and Logical Deduction

  • Logical Agents
  • First-Order Logic
  • Deducing via First-Order Logic
  • Standard Planning
  • Planning and Action in Real-World Scenarios
  • Representing Knowledge

Handling Uncertainty and Inference

  • Measuring Uncertainty
  • Probabilistic Inference
  • Temporal Probabilistic Inference
  • Executing Straightforward Decisions
  • Managing Complex Decision-Making

Machine Learning

  • Learning from Instances
  • The Role of Knowledge in Learning
  • Acquiring Probabilistic Models
  • Reinforcement Learning

Interaction, Sensing, and Execution;

  • Processing Natural Language
  • Using Natural Language for Interaction
  • Sensory Perception
  • Robotics

Summary

  • Philosophical Underpinnings
  • AI: Current Status and Future Outlook

Requirements

Basic understanding of computing, biology, mathematics, and physics

 7 Hours

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