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

Georgalos, Konstantinos (2017) Playing with ambiguity:An agent based model of vague beliefs in games. In: Game Theory. IGI Global, Pennsylvania, United States, pp. 52-65. ISBN 1522525947

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Abstract

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
Additional Information:
Publisher Copyright: © 2018, IGI Global. All rights reserved.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600
Subjects:
ID Code:
183916
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Deposited On:
13 Jan 2023 12:25
Refereed?:
No
Published?:
Published
Last Modified:
13 Jan 2023 12:25