Exploring Game Theory with Imperfect Information: A Comprehensive Overview

[krikker]

Does anyone have a broader perspective on Game Theory with inperfect information?

At the moment I'm working on a self defined subject, using only the basic tools in the original work by von Neumann. Basically I just generalized his one-round, fixed limit poker with continuous variables so that it can handle any decision tree.

But now I'm considering using some variant of Gaming theory for my master, probably in an evolutionary context since that would go well with my department. But I'm really just curious about the current research being done within the field in general.

Could someone explain me some basic directions, or supply some ideas for books or articles I could read to get an overview.

Thank you

 

[Valkarie]

! Game theory with imperfect information has been a major focus of research in recent years. A good place to start is the book by Dutta, "Game Theory for Strategic Interaction" (Oxford University Press, 2019). It provides an excellent overview of game theory with imperfect information, including both theoretical and applied approaches. The book covers topics such as Bayesian games, extensive form games, stochastic games, dynamic games, and repeated games. It also has a chapter on evolutionary gaming theory which is particularly relevant to your research. In addition, there are many other books and journal articles that cover game theory with imperfect information. Two important resources are the International Journal of Game Theory, which publishes research on all aspects of game theory, and the Handbook of Game Theory with Applications to Economics, edited by H. Moulin and M. Shubik (Elsevier, 2005). This handbook provides an in-depth analysis of game theory with imperfect information.