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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.
|Title of host publication||ALIFE 2019: The 2019 Conference on Artificial Life|
|Editors||Harold Fellermann, Jaume Bacardit, Ángel Goñi-Moreno, Rudolf M Füchslin|
|Publication status||Published - 15 Jul 2019|
|Event||2019 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 2019 → 2 Aug 2019
|Name||Artificial Life Conference Proceedings|
|Conference||2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges|
|Abbreviated title||ALIFE 2019|
|City||Newcastle upon Tyne|
|Period||29/07/19 → 2/08/19|
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30/11/18 → 31/10/20