Chapter 3B: Decision Theory, Game Theory & Bayesian Systems
Chapter 3B: Decision Theory, Game Theory & Bayesian Systems
Decision making under uncertainty and competition: game search, strategic reasoning, Bayesian updating, and inference networks.
- Game Theory & Combinatorial Search: Minimax, Alpha-Beta Pruning, Monte Carlo Tree Search (MCTS), Game Tree Probing, Exhaustion, Nash Equilibrium, and Payoff Matrices
- Bayesian Decision Theory & Probabilistic Inference: Bayes’ Theorem, Naive Bayes, Bayesian Networks, Belief Updating, and Dynamic Decision Trees
- Chapter 3B References