Cooperation Via Intimidation: An Emergent System of Mutual Threats can Maintain Social Order

Piotr Mateusz Patrzyk () and Martin TakÃ¡Ä ()
Additional contact information
Martin TakáÄ: http://cogsci.fmph.uniba.sk/~takac/

Journal of Artificial Societies and Social Simulation, 2017, vol. 20, issue 4, 5

Abstract: Can human aggressiveness promote peaceful cooperation? Despite the seeming contradiction of these phenomena, our study suggests the answer is yes. We develop two agent-based models of cooperative interactions among aggressive agents threatening each other. In Model 1, we show that aggressive displays performed by dominance-seeking individuals create a system of mutual threats that effectively enforces cooperation and inhibits agents from escalating conflicts. This happens because agents observe each other fighting, which deters them from attacking each other due to aggressive reputations. In Model 2 we extend this effect to third-party interventions showing that forming alliances makes attacks more efficient and promotes the emergence of common rules determining whom to fight against. In such a state, social order is maintained by the existence of moral alliances – groups of agents willing to fight against norm violators. In summary, we argue that reputation for toughness and the aggressive predisposition of humans could have played an important role in the evolution of cooperation and moral systems.

Keywords: Cooperation; Punishment; Revenge; Conflict; Aggression; Morality (search for similar items in EconPapers)
Date: 2017-10-31
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jasss.org/20/4/5/5.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2016-99-2

Access Statistics for this article

More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().