Volume 114, Number 3, May 2016
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||25 May 2016|
Conformity-driven agents support ordered phases in the spatial public goods game
1 Department of Mathematics and Computer Science, University of Cagliari - Cagliari, Italy
2 Faculty of Business and Economics, University of Lausanne - Lausanne, Switzerland
3 Grupo Interdisciplinar de Sistemas Complejos (GISC), Universidad Carlos III de Madrid - Leganés, Spain
4 Institute for Biocomputation and Physics of Complex Systems - Zaragoza, Spain
5 Invenia Labs - Cambridge, UK
6 London Institute for Mathematical Sciences - London, UK
Received: 8 February 2016
Accepted: 6 May 2016
We investigate the spatial Public Goods Game in the presence of fitness-driven and conformity-driven agents. This framework usually considers only the former type of agents, i.e., agents that tend to imitate the strategy of their fittest neighbors. However, whenever we study social systems, the evolution of a population might be affected also by social behaviors as conformism, stubbornness, altruism, and selfishness. Although the term evolution can assume different meanings depending on the considered domain, here it corresponds to the set of processes that lead a system towards an equilibrium or a steady state. We map fitness to the agents' payoff so that richer agents are those most imitated by fitness-driven agents, while conformity-driven agents tend to imitate the strategy assumed by the majority of their neighbors. Numerical simulations aim to identify the nature of the transition, on varying the amount of the relative density of conformity-driven agents in the population, and to study the nature of related equilibria. Remarkably, we find that conformism generally fosters ordered cooperative phases and may also lead to bistable behaviors.
PACS: 89.75.-k – Complex systems / 89.65.-s – Social and economic systems / 05.90.+m – Other topics in statistical physics, thermodynamics, and nonlinear dynamical systems (restricted to new topics in section 05)
© EPLA, 2016
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