Population Structure Promotes the Evolution of Intuitive Cooperation and Inhibits Deliberation

15 Pages Posted: 31 Jan 2018 Last revised: 17 Apr 2018

See all articles by Mohsen Mosleh

Mohsen Mosleh

Yale University

David G. Rand

Massachusetts Institute of Technology (MIT)

Date Written: March 29, 2018

Abstract

Spatial structure is one of the most studied mechanisms in evolutionary game theory. Here, we explore the consequences of spatial structure for a question which has received considerable empirical and theoretical attention in recent years, but has not yet been studied from a network perspective: whether cooperation relies on intuitive predispositions or deliberative self-control. We examine this question using a model which integrates the “dual-process” framework from cognitive science with evolutionary game theory, and considers the evolution of agents who are embedded within a social network and only interact with their neighbors. In line with past work in well-mixed populations, we find that selection favors either the intuitive defector strategy which never deliberates, or the dual-process cooperator strategy which intuitively cooperates but uses deliberation to switch to defection in Prisoner’s Dilemma games. We find that sparser networks (i.e., smaller average degree) facilitate the success of dual-process cooperators over intuitive defectors, while also reducing the level of deliberation that dual-process cooperators engage in; and that these results generalize across different kinds of networks. These observations demonstrate the important role that spatial structure can have not just on the evolution of cooperation, but on the co-evolution of cognition and cooperation.

Keywords: Cooperation, Cognition, Social Network, Dual-Process Theory

Suggested Citation

Mosleh, Mohsen and Rand, David G., Population Structure Promotes the Evolution of Intuitive Cooperation and Inhibits Deliberation (March 29, 2018). Available at SSRN: https://ssrn.com/abstract=3108220 or http://dx.doi.org/10.2139/ssrn.3108220

Mohsen Mosleh (Contact Author)

Yale University ( email )

New Haven, CT 06520
United States

David G. Rand

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

HOME PAGE: http://www.daverand.org

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