Making Sense of Sanctions: An Agent-Based Model of Sanction Recognition.


Journal

Nonlinear dynamics, psychology, and life sciences
ISSN: 1090-0578
Titre abrégé: Nonlinear Dynamics Psychol Life Sci
Pays: United States
ID NLM: 9704130

Informations de publication

Date de publication:
Oct 2021
Historique:
entrez: 13 9 2021
pubmed: 14 9 2021
medline: 16 9 2021
Statut: ppublish

Résumé

Theories of norm emergence are a central building block for comprehending the emergence of society. The article investigates a central terminus in theories of norms, in particular rational choice theory: The notion of sanctions. Sanctions are an unexplained theoretical term for securing norm conformity. Agent-based models inspired by evolutionary game theory show that the evolution of cooperation can be enforced by sanctions. However, in behavioral terms, sanctions are a form of aggression. An empirical investigation of the violent collapse of a criminal group reveals that interpretation is necessary for recognizing aggression as sanction. Whereas theories of norms attempt to explain the emergence of social structure, successful sanction recognition imposes the existence of social structure in the form of normative authorities. In the absence of social structure for securing social order such as the state monopoly of violence this interpretation remains ambiguous and error prone. Simulation experiments with an agent-based model investigate the conditions for the emergence of a normative authority.

Identifiants

pubmed: 34516944

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

427-453

Auteurs

Martin Neumann (M)

Johannes Gutenberg University, Mainz, Germany.

Ulf Lotzmann (U)

University of Koblenz, Germany.

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Classifications MeSH