Game theory is the standard quantitative tool for analyzing the interactions of multiple decision makers. Its applications extend to economics, biology, engineering and even cyber security. Furthermore, many complex systems involve multiple decision makers and thus a full analysis of such systems necessitates the tools of game theory. This tutorial is the second part of of Dr. Justin Grana's tutorial on game theory. The tutorial is divided into three parts. The first explores dynamic and sequential games and discusses extensive-form representation. The second part of the series discusses bounded rationality and imperfect decision making and information, both in theoretical models and in laboratory settings. Finally we look at Gambit, a software program used by theoreticians to solve games.
Overview
Syllabus
- Introduction to Dynamic Games
- The Extensive Form Game
- Solving Sequential Games
- Sub-Game Perfect Equilibria, Continued
- Infinitely Repeated Games
- Introducing Behavioral Game Theory and Bounded Rationality
- The Level-k Model of Bounded Rationality
- Gambit - a Software for Solving Games
- Homework
Taught by
Justin Grana
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Reviews
4.0 rating, based on 3 Class Central reviews
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A basic intro to the topic with a bit of the background and math foundations. Should give a student the basic ideas so they can evaluate their interest in going deeper into the topic. It is unfortunate that the graphics are so poor. It is frequently hard to red the material presented on the screen.
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This second part provides a great introduction to sequential games and it is highly applicable to real-life situations. The videos are concise and quite easy to understand. I highly recommend this and the other courses from Santa Fe Institute.
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good course, I recommend taking the previous course to understand this course and gear all the information learned. I think it can be a little more lively
