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 Duration 7 hours

Course Outline

History of Artificial Intelligence

  • Intelligent Agents

Problem-Solving Techniques

  • Approaching Problems Through Search
  • Strategies Beyond Classical Search
  • Adversarial Search Methods
  • Addressing Constraint Satisfaction Problems

Knowledge and Reasoning

  • Agents Based on Logic
  • Principles of First-Order Logic
  • Deduction in First-Order Logic
  • Traditional Planning Methods
  • Planning and Execution in Real-World Scenarios
  • Representing Knowledge

Handling Uncertain Knowledge and Reasoning

  • Measuring Uncertainty
  • Applying Probabilistic Reasoning
  • Probabilistic Inference Over Time
  • Decision-Making in Simple Scenarios
  • Navigating Complex Decisions

Machine Learning

  • Learning Through Examples
  • Incorporating Knowledge into Learning Processes
  • Training Probabilistic Models
  • Reinforcement Learning Methods

Communication, Perception, and Action

  • Processing Natural Language
  • Using Natural Language for Communication
  • Mechanisms of Perception
  • Robotic Systems

Summary

  • Philosophical Underpinnings
  • AI: Current State and Future Directions

Requirements

Basic understanding of computing, biology, mathematics, and physics

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