Cooperation for public goods under uncertainty

Authors
Publication date 2020
Host editors
  • V.V. Krzhizhanovskaya
  • G. Závodszky
  • M.H. Lees
  • J.J. Dongarra
  • P.M.A. Sloot
  • S. Brissos
  • J. Teixeira
Book title Computational Science – ICCS 2020
Book subtitle 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings
ISBN
  • 9783030504229
ISBN (electronic)
  • 9783030504236
Series Lecture Notes in Computer Science
Event 20th International Conference on Computational Science, ICCS 2020
Volume | Issue number IV
Pages (from-to) 243-251
Number of pages 9
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Institute of Physics (IoP) - Van der Waals-Zeeman Institute (WZI)
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam Institute for Social Science Research (AISSR)
Abstract

Everyone wants clean air, peace and other public goods but is tempted to freeride on others’ efforts. The usual way out of this dilemma is to impose norms, maintain reputations and incentivize individuals to contribute. In situations of high uncertainty, however, such as confrontations of protesters with a dictatorial regime, the usual measures are not feasible, but cooperation can be achieved nevertheless. We use an Ising model with asymmetric spins that represent cooperation and defection to show numerically how public goods can be realized. Under uncertainty, people use the heuristic of conformity. The turmoil of a confrontation causes some individuals to cooperate accidentally, and at a critical level of turmoil, they entail a cascade of cooperation. This critical level is much lower in small networks.

Document type Conference contribution
Language English
Related publication Spontaneous cooperation for public goods
Published at https://doi.org/10.1007/978-3-030-50423-6_18
Other links https://www.scopus.com/pages/publications/85087285004
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