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

Introduction to Artificial Intelligence
Stanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent