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Cited by 1,590

The DOI matches its Crossref record; 302 of the 302 references it cites were found in a registry or an index.

Statistical physics of human cooperation

Open access
Perc, Matjaž, Jordan, Jillian J., Rand, David G., Wang, Zhen, Boccaletti, Stefano, Szolnoki, Attila·2017·Physics Reports
DOI 10.1016/j.physrep.2017.05.004
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Abstract

Abstract Extensive cooperation among unrelated individuals is unique to humans, who often sacrifice personal benefits for the common good and work together to achieve what they are unable to execute alone. The evolutionary success of our species is indeed due, to a large degree, to our unparalleled other-regarding abilities. Yet, a comprehensive understanding of human cooperation remains a formidable challenge. Recent research in the social sciences indicates that it is important to focus on the collective behavior that emerges as the result of the interactions among individuals, groups, and even societies. Non-equilibrium statistical physics, in particular Monte Carlo methods and the theory of collective behavior of interacting particles near phase transition points, has proven to be very valuable for understanding counterintuitive evolutionary outcomes. By treating models of human cooperation as classical spin models, a physicist can draw on familiar settings from statistical physics. However, unlike pairwise interactions among particles that typically govern solid-state physics systems, interactions among humans often involve group interactions, and they also involve a larger number of possible states even for the most simplified description of reality. The complexity of solutions therefore often surpasses that observed in physical systems. Here we review experimental and theoretical research that advances our understanding of human cooperation, focusing on spatial pattern formation, on the spatiotemporal dynamics of observed solutions, and on self-organization that may either promote or hinder socially favorable states.

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Citations

Cites

Research works printed but not linked: 11

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Metadata

Authors
Perc, M., Jordan, J. J., Rand, D. G., Wang, Z., Boccaletti, S., & Szolnoki, A.
Venue
Physics Reports
Publisher
Elsevier BV
Published
2017-05
Volume
687
Pages
1-51
ISSN
0370-1573 (ISSN-L)
DOI
10.1016/j.physrep.2017.05.004
OpenAlex
W2618208446
Cited by
1,590
References
302
FWCI
408.84
Type
journal article
Language
en
Open access
bronze
Licence
Funders
  • Slovenian Research Agency (J1-7009, P5-0027)
  • Templeton World Charity Foundation (TWCF0209)
  • Defense Advanced Research Projects Agency (D17AC00005)
  • National Key Research and Development Program (2016YFB0800602)
  • National Natural Science Foundation of China (61471299)
  • Hungarian National Research Fund (K-120785)

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