Artificial Intelligence and Logic Programming Course Contents

  • Introduction
  • Intelligent Agents
  • Solving Problems by Searching
  • Beyond Classical Search
  • Adversarial Search
  • Constraint Satisfaction Problems
  • Logical Agents
  • First-Order Logic
  • Inference in First-Order Logic
  • Classical Planning
  • Planning and Acting in the Real World
  • Knowledge Representation
  • Quantifying Uncertainty
  • Probabilistic Reasoning
  • Probabilistic Reasoning over Time
  • Making Simple Decisions
  • Making Complex Decisions
  • Learning from Examples
  • Knowledge in Learning
  • Learning Probabilistic Models
  • Reinforcement Learning
  • Natural Language Processing
  • Natural Language for Communication
  • Perception
  • Robotics
  • Philosophical Foundations








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