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Meta-Heuristics (Simulated Annealing / Genetic Algorithms) - Intro to Artificial Intelligence
Heuristic Functions - Intro to Artificial Intelligence
Minimax Search with Alpha-Beta Pruning
Reviewing Minimax Alpha-Beta Pruning Pseudocode
Minimax Search
Adversarial Search
Ant Colony Optimization
Simulated Annealing
Genetic Algorithms
The Linear Assignment Problem
Creating and Choosing Heuristics
Heuristic Functions
A* Pathfinding (A-Star Pathfinding)
A* (A-Star) Worked Example
Breadth-First and Depth-First Search
Iterative Deepening Search
Bidirectional Search
Uninformed Search
Working with CSC 411 Problem Sets
Agents and Environments
Elements of Environments
Types of Agents
Intelligence and A Brief History of It
Designing Intelligent Agents