Marco Scarsini

English

Research Papers in Economics

     
 
 
Volume 28, Issue 36 
Conference Announcement 
Stochastic methods in game theory 
Location : Erice
Organizers : Marco Scarsini
Major Topics : Game theory
Conference Dates : 9/24/2005 to 9/24/2005
Submission Deadline : 2/28/2005
Send Submissions To : marco.scarsini@unito.it
Sponsoring Organizations : 
For further information contact : 
Web Page : http://web.econ.unito.it/scarsini/Erice2005
This workshop aims at giving an overview of the interaction between stochastic methods and game theory. Probability 
is central in the theory of choice under uncertainty. In game theory, where several decision makers interact, the 
presence of uncertainty adds a further complication, since different players could have different opinions, and 
therefore employ different probability measures to make their strategic decisions. The relatively recent consideration 
that economic agents do not have infinite cognitive abilities and do not possess full information about their 
environment raises new challenges, that need a treatment through advanced and innovative mathematical tools. The 
conference will put a special emphasis on the following topics: - Bounded Rationality: Models from Computer Science 
such as Automata or Turing Machine are used as a representation of agents with limited cognitive abilities. - 
Asymmetric Information: The modeling of asymmetric information and the study of games with incomplete 
information relies on tools from probability theory and information theory. - Learning: We consider agents both 
bounded or unbounded rationality which may ignore other''s strategies at the beginning, but learn them through the 
course of interaction. The spectrum of the meeting will be broad, ranging from foundational issues to technical 
probabilistic tools to applications in economics, computer science, statistics, and operations research. The speakers will 
be young international scholars who are active in various areas of the above fields. They will survey the recent 
advances in the discipline, describe their own contributions, and bring the audience to some open problems and 
possible research topics.
 
Citation: Marco Scarsini , (2004) Economics Bulletin, Vol. 28 no.36 p.A1. 
Submitted: December 25, 2004  Published: December 28, 2004. 
URL: http://www.accessecon.com/pubs/EB/2004/Volume29/EB-04CC0027A.pdf 
 
     

Stochastic methods in game theory

http://www.accessecon.com/pubs/EB/2004/Volume29/EB-04CC0027A.pdf

Stochastic methods in game theory

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