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 Duration 7 hours

Course Outline

The Evolution of Artificial Intelligence

  • Intelligent Agents

Problem Solving Techniques

  • Solving Problems Through Search
  • Extensions Beyond Classical Search
  • Adversarial Search Strategies
  • Constraint Satisfaction Challenges

Knowledge and Logical Reasoning

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

Handling Uncertain Knowledge and Reasoning

  • Measuring and Quantifying Uncertainty
  • Probabilistic Reasoning Methods
  • Probabilistic Reasoning Over Time
  • Decision-Making in Simple Contexts
  • Complex Decision-Making Processes

Machine Learning Paradigms

  • Learning from Examples
  • Role of Knowledge in Learning
  • Learning Probabilistic Models
  • Reinforcement Learning

Communication, Perception, and Action

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

Conclusions

  • Philosophical Underpinnings
  • AI: Current State and Future Outlook

Requirements

General familiarity with computing, biology, mathematics, and physics.

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