Contributed talk in Emergence of Innovation & Cooperation 2, Aug. 2, 2019, 2 p.m. in room USB.4.005

Exogenous Rewards for Promoting Cooperation in Scale-Free Networks

Theodor Cimpeanu, The Anh Han, Francisco C. Santos

watch Publication 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 paradigms 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 strategy. As such, we argue that no tailored response fits all scale-free networks and present which strategies are more efficient at fostering cooperation in both types of networks. Finally, we discuss the pitfalls of considering reckless interference strategies.