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Intro to Artificial Intelligence - Minimax and AlphaBeta Search - Lecture 10

Offered By: Dave Churchill via YouTube

Tags

Artificial Intelligence Courses Computer Science Courses Game Theory Courses Heuristics Courses Decision Trees Courses

Course Description

Overview

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Explore the fundamental concepts of Minimax and Alpha-Beta Search algorithms in this comprehensive lecture from the Introduction to Artificial Intelligence course at Memorial University. Delve into the algorithmic techniques and data structures used in modern AI problem-solving, with a focus on their application in game environments. Learn how these powerful search strategies are employed to make optimal decisions in adversarial scenarios. Gain practical insights into implementing Minimax and Alpha-Beta pruning to enhance the efficiency of game-playing AI systems. Understand the theoretical foundations and practical applications of these essential AI concepts through clear explanations and examples provided by Professor David Churchill.

Syllabus

COMP3200 - Intro to Artificial Intelligence - Lecture 10 - Minimax + AlphaBeta Search


Taught by

Dave Churchill

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