Introduction to Artificial Intelligence - Game Theory and Nash Equilibrium - Lecture 9
Offered By: Dave Churchill via YouTube
Course Description
Overview
Explore the concept of Nash Equilibrium in game theory through this graduate-level lecture from Memorial University's Computer Science 6980 course on Artificial Intelligence. Delve into the second part of the game theory discussion, focusing on the Nash Equilibrium and its applications in AI problem-solving. Learn from Professor David Churchill as he explains this crucial concept in the context of modern AI techniques and algorithmic approaches. Gain insights into how Nash Equilibrium is applied to simple games and AI problem-solving environments, enhancing your understanding of strategic decision-making in artificial intelligence.
Syllabus
COMP6980 - Intro to Artificial Intelligence - Lecture 09 - Game Theory (2/2) Nash Equilibrium
Taught by
Dave Churchill
Related Courses
實驗經濟學 (Experimental Economics: Behavioral Game Theory)National Taiwan University via Coursera 竞争策略(中文版)
Ludwig-Maximilians-Universität München via Coursera Welcome to Game Theory
University of Tokyo via Coursera Strategy: An Introduction to Game Theory
Indian Institute of Technology Kanpur via Swayam Теория игр
Moscow Institute of Physics and Technology via Coursera