YoVDO

Introduction to Artificial Intelligence - Game Theory - Lecture 9

Offered By: Dave Churchill via YouTube

Tags

Artificial Intelligence Courses Game Theory Courses Nash Equilibrium Courses Decision Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore game theory concepts in this 44-minute lecture from Memorial University's Computer Science 3200 course on Artificial Intelligence. Delve into advanced 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 continues the discussion on game theory, building upon the foundations laid in the previous lecture. Gain insights into how AI principles can be applied to strategic decision-making scenarios and game-playing algorithms. While course assignments are not publicly available, this lecture provides valuable knowledge for those interested in the intersection of AI and game theory.

Syllabus

COMP3200 - Intro to Artificial Intelligence - Lecture 09 - Game Theory (2/2)


Taught by

Dave Churchill

Related Courses

Aprende a tomar decisiones económicas acertadas
Universidad Rey Juan Carlos via Miríadax
Mathematics
Serious Science via YouTube
Economics
Serious Science via YouTube
Subgame Perfect Equilibrium - Wars of Attrition in Game Theory - Lecture 20
Yale University via YouTube
Economic Decisions for the Foraging Individual - Lecture 32
Yale University via YouTube