Exogenous rewards for promoting cooperation in scale-free networks

Theodor Cimpeanu, The Anh Han, Francisco C. Santos

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

The design of mechanisms that encourage pro-social behaviours in populations of self-regarding agents is recognised as a major theoretical challenge within several areas of social, life and engineering sciences. When interference from external parties is considered, several heuristics have been identified as capable of engineering a desired collective behaviour at a minimal cost. However, these studies neglect the diverse nature of contexts and social structures that characterise real-world populations. Here we analyse the impact of diversity by means of scale-free interaction networks with high and low levels of clustering, and test various interference mechanisms using simulations of agents facing a cooperative dilemma. Our results show that interference on scale-free networks is not trivial and that distinct levels of clustering react differently to each interference mechanism. As such, we argue that no tailored response fits all scale-free networks and present which mechanisms are more efficient at fostering cooperation in both types of networks. Finally, we discuss the pitfalls of considering reckless interference mechanisms.

Original languageEnglish
Pages316-323
Number of pages8
Publication statusPublished - 2020
Event2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges: 2019 International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB) - Newcastle University, Newcastle upon Tyne, United Kingdom
Duration: 29 Jul 20192 Aug 2019
https://alife.org/conference/alife-2019/
http://abmhub.braintree.com/
https://2019.alife.org/

Conference

Conference2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges
Abbreviated titleALIFE 2019
CountryUnited Kingdom
CityNewcastle upon Tyne
Period29/07/192/08/19
Internet address

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