Publications by the same author
plus in the repository
plus in Google Scholar

Bibliografische Daten exportieren

The ecological rationality of decision criteria

DOI zum Zitieren der Version auf EPub Bayreuth:
URN to cite this document: urn:nbn:de:bvb:703-epub-5338-4

Title data

Galeazzi, Paolo ; Galeazzi, Alessandro:
The ecological rationality of decision criteria.
In: Synthese. (1 August 2020) . - 24 S.
ISSN 1573-0964
DOI der Verlagsversion:

[thumbnail of Galeazzi-Galeazzi2020_Article_TheEcologicalRationalityOfDeci.pdf]
Format: PDF
Name: Galeazzi-Galeazzi2020_Article_TheEcologicalRationalityOfDeci.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (1MB)


Standard evolutionary game theory investigates the evolutionary fitness of alternative behaviors in a fixed and single decision problem. This paper instead focuses on decision criteria, rather than on simple behaviors, as the general behavioral rules under selection in the population: the evolutionary fitness of classic decision criteria for rational choice is analyzed through Monte Carlo simulations over various classes of decision problems. Overall, quantifying the uncertainty in a probabilistic way and maximizing expected utility turns out to be evolutionarily beneficial in general. Minimizing regret also finds some evolutionary justifications in our results, while maximin seems to be always disadvantaged by differential selection.

Further data

Item Type: Article in a journal
Keywords: ecological rationality; evolutionary selection; decision criteria; population games
DDC Subjects: 100 Philosophy and psychology > 100 Philosophy
Institutions of the University: Faculties > Faculty of Cultural Studies > Department of Philosophy > Chair Philosophy I
Faculties > Faculty of Cultural Studies
Faculties > Faculty of Cultural Studies > Department of Philosophy
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5338-4
Date Deposited: 18 Mar 2021 09:31
Last Modified: 18 Mar 2021 10:06


Downloads per month over past year