YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Security
Stanford University via Coursera Intro to Computer Science
University of Virginia via Udacity Introduction to Logic
Stanford University via Coursera Internet History, Technology, and Security
University of Michigan via Coursera