Playing with ambiguity:an agent based model of vague beliefs in games

Georgalos, Konstantinos (2014) Playing with ambiguity:an agent based model of vague beliefs in games. In: Interdisciplinary applications of agent-based social simulation and modeling. IGI Global, Hershey, Penn., pp. 125-142. ISBN 9781466659544

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This chapter discusses the way that three distinct fields, decision theory, game theory and computer science, can be successfully combined in order to optimally design economic experiments. Using an example of cooperative game theory (the Stag-Hunt game), the chapter presents how the introduction of ambiguous beliefs and attitudes towards ambiguity in the analysis can affect the predicted equilibrium. Based on agent-based simulation methods, the author is able to tackle similar theoretical problems and thus to design experiments in such a way that they will produce useful, unbiased and reliable data.

Item Type: Contribution in Book/Report/Proceedings
Departments: Lancaster University Management School > Economics
ID Code: 70874
Deposited By: ep_importer_pure
Deposited On: 17 Sep 2014 15:50
Refereed?: Yes
Published?: Published
Last Modified: 01 Jan 2020 05:47

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