Topic outline

  • General

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  • AI & Intelligent Agents

    • Weak AI vs Strong AI
    • AI applications
    • AI Agent
    • PEAS Model
    • Communication between Agents
    • Types of AI agents

  • Problem-Solving & Search Algorithms

    • A* Search, Greedy Search (Remind)
    • Local Search (Hill Climbing, Simulated Annealing, Tabu Search, Beam Search, Genetic Algorithms)
    • Adversary Games (MiniMax, Alpha-Beta Pruning)

  • Constraints Satisfaction Problems (CSP)

    • Definition & Applications
    • Backtracking Search
    • Filtering and Propagation
    • General Heuristics (MRV, Degree Heuristic, LCV)
    • Forward Checking
    • Arc-Consistency (AC-3)
    • Min-Conflicts

  • Machine Learning & Classification

    • Types of machine learning
    • K-Nearest Neighbors (KNN)
    • Artificial Neural Networks (ANN)

  • Probabilistic Reasoning

    • Bayes method
    • Hidden Markov Models (HMM)

  • Natural Language Processing

    • Definition & Applications
    • NLP processing levels
    • Evaluation of an NLP system