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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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Standard

Playing with ambiguity: An agent based model of vague beliefs in games. / Georgalos, Konstantinos.
Game Theory: Breakthroughs in Research and Practice. ed. / Khosrow-Pour Khosrow-Pour. Pennsylvania, United States: IGI Global, 2017. p. 52-65.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Georgalos, K 2017, Playing with ambiguity: An agent based model of vague beliefs in games. in K-P Khosrow-Pour (ed.), Game Theory: Breakthroughs in Research and Practice. IGI Global, Pennsylvania, United States, pp. 52-65. https://doi.org/10.4018/978-1-5225-2594-3.ch003

APA

Georgalos, K. (2017). Playing with ambiguity: An agent based model of vague beliefs in games. In K-P. Khosrow-Pour (Ed.), Game Theory: Breakthroughs in Research and Practice (pp. 52-65). IGI Global. https://doi.org/10.4018/978-1-5225-2594-3.ch003

Vancouver

Georgalos K. Playing with ambiguity: An agent based model of vague beliefs in games. In Khosrow-Pour K-P, editor, Game Theory: Breakthroughs in Research and Practice. Pennsylvania, United States: IGI Global. 2017. p. 52-65 doi: 10.4018/978-1-5225-2594-3.ch003

Author

Georgalos, Konstantinos. / Playing with ambiguity : An agent based model of vague beliefs in games. Game Theory: Breakthroughs in Research and Practice. editor / Khosrow-Pour Khosrow-Pour. Pennsylvania, United States : IGI Global, 2017. pp. 52-65

Bibtex

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title = "Playing with ambiguity: An agent based model of vague beliefs in games",
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.",
author = "Konstantinos Georgalos",
note = "Publisher Copyright: {\textcopyright} 2018, IGI Global. All rights reserved.",
year = "2017",
month = jun,
day = "19",
doi = "10.4018/978-1-5225-2594-3.ch003",
language = "English",
isbn = "1522525947",
pages = "52--65",
editor = "Khosrow-Pour Khosrow-Pour",
booktitle = "Game Theory",
publisher = "IGI Global",

}

RIS

TY - CHAP

T1 - Playing with ambiguity

T2 - An agent based model of vague beliefs in games

AU - Georgalos, Konstantinos

N1 - Publisher Copyright: © 2018, IGI Global. All rights reserved.

PY - 2017/6/19

Y1 - 2017/6/19

N2 - 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.

AB - 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.

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U2 - 10.4018/978-1-5225-2594-3.ch003

DO - 10.4018/978-1-5225-2594-3.ch003

M3 - Chapter

AN - SCOPUS:85027499316

SN - 1522525947

SN - 9781522525943

SP - 52

EP - 65

BT - Game Theory

A2 - Khosrow-Pour, Khosrow-Pour

PB - IGI Global

CY - Pennsylvania, United States

ER -