Abstract / Description of output
Political polarization is driven by many factors, but the role of moral values as both a signal of political identity and a source of internal conflict is understudied. We report an agent-based computational model of polarization that fills this gap. Agents seek to differentiate in- and outgroup neighbors with a slight preference for the former. However, they must do so by inferring neighbors’ identities from visible but transient moral signals. Moreover, agents experience conflicts within their own values, and if difficult to resolve internally, can copy the values of their ingroup or disengage (i.e., act immorally). Results show that liberals form larger, more homogeneous clusters, are happier, and experience less moral conflict than conservatives. Conservatives experience more and higher levels of conflict and morally disengage significantly more often than liberals.
Original language | English |
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Title of host publication | Proceedings of the 45th Annual Meeting of the Cognitive Science Society |
Editors | Micah Goldwater, Florencia Anggoro, Brett Hayes, Desmond Ong |
Publisher | eScholarship University of California |
Pages | 865-872 |
Volume | 45 |
Publication status | Published - 29 Jul 2023 |
Event | 45th Annual Conference of the Cognitive Science Society: Cognition in Context - ICC Sydney, Sydney, Australia Duration: 26 Jul 2023 → 29 Jul 2023 https://cognitivesciencesociety.org/cogsci-2023/ |
Publication series
Name | Proceedings of the Annual Conference of the Cognitive Science Society |
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Publisher | The Cognitive Science Society |
ISSN (Electronic) | 1069-7977 |
Conference
Conference | 45th Annual Conference of the Cognitive Science Society |
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Abbreviated title | CogSci 2023 |
Country/Territory | Australia |
City | Sydney |
Period | 26/07/23 → 29/07/23 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- agent-based model
- morality
- political polarization
- undertain inference