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Rational Choice and Asymmetric Learning in Iterated Social Interactions : Some Lessons from Agent-Based Modeling
Klein, Dominik; Marx, Johannes; Scheller, Simon (2024): Rational Choice and Asymmetric Learning in Iterated Social Interactions : Some Lessons from Agent-Based Modeling, in: Bamberg: Otto-Friedrich-Universität, S. 1–17.
Faculty/Chair:
Author:
Publisher Information:
Year of publication:
2024
Pages:
Source/Other editions:
Demokratie und Entscheidung : Beiträge zur Analytischen Politischen Theorie / Karl Marker, Annette Schmitt, Jürgen Sirsch (Hg.). - Wiesbaden : Springer VS, 2019, S. 277–294. - ISSN: 978-3-658-24529-0
Year of first publication:
2019
Language:
English
Licence:
Abstract:
In this contribution we analyze how the actions of rational agents feed back on their beliefs. We present two agent-based computer simulations studying complex social interactions in which agents that follow utility maximizing strategies thereby deteriorate their own long-term quality of beliefs. We take these results as a starting point to discuss the complex relationship between rational action couched in terms of maximizing utility and the emergence of informational inequalities.
GND Keywords: ; ;
Rational Choice
Agency-Theorie
Asymmetrische Information
Keywords:
Iterated Social Interactions
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Contribution to an Articlecollection
Activation date:
December 2, 2024
Permalink
https://fis.uni-bamberg.de/handle/uniba/105149