Introduction to Artificial Intelligence: Game Theory - Lecture 8 (Part 1)
Offered By: Dave Churchill via YouTube
Course Description
Overview
Explore game theory concepts in this lecture from the Introduction to Artificial Intelligence course at Memorial University. Delve into algorithmic techniques and data structures used in modern problem-solving environments, with a focus on their application to simple games. Learn from Professor David Churchill as he covers the first part of game theory, providing a foundation for understanding AI decision-making in competitive scenarios. Gain insights into how AI algorithms can be applied to analyze and solve game-related problems, enhancing your understanding of strategic interactions in artificial intelligence.
Syllabus
COMP3200 - Intro to Artificial Intelligence - Lecture 08 - Game Theory (Part 1/2)
Taught by
Dave Churchill
Related Courses
Introduction to Artificial IntelligenceStanford 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