Quantifying fairness to overcome selfishness: A behavioural model to describe the evolution and stabilization of inter-group bias using the Ultimatum Game
                Authored by Andrea Guazzini, Enrico Imbimbo, Federica Stefanelli, Franco Bagnoli, Ezio Venturino
                
                    Date Published: 2019
                
                
                    DOI: 10.3934/mbe.2019184
                
                
                    Sponsors:
                    
                        No sponsors listed
                    
                
                
                    Platforms:
                    
                        No platforms listed
                    
                
                
                    Model Documentation:
                    
                        Other Narrative
                        
                
                
                    Model Code URLs:
                    
                        Model code not found
                    
                
                Abstract
                The ability to form groups to overcome problems has been crucial for the
evolution of human beings. To favour the formation of cooperating
groups, one of the mechanisms developed is the inter-group bias, namely
the tendency of individuals to favour members of their group and hinder
the external ones. It is the cognitive equivalent of the ``green beard
effect{''} in evolutionary biology, introduced by Hamilton and
popularized by Dawkins, for which a group can profit of the altruistic
behaviour of its members. Here, we use a behavioural model based on the
Ultimatum Game, to shed light on how this behaviour cloud has been
stabilized in the human population, estimating the magnitude of
favouritism needed to overcome selfish individuals. Through both
numerical simulations and analytic approaches, we study how a community
of collectivist and individualist agents evolves. The key factor is the
mechanism for the evolution of the population, i.e., the replacement of
the poor-performing individuals. In the case of replacement by the
reproduction of existing individuals, we observe a smooth phase
transition and no coexistence. If the replacement is random, the
transition smooths, and coexistence is possible. We developed analytical
approaches for these two cases and performed numerical simulations.
Although analytical calculations support the behaviour emerging from
simulations, some differences ask for more refined treatments.
                
Tags
                
                    Agent-based modeling
                
                    Evolution
                
                    Cooperation
                
                    Fairness
                
                    Ultimatum game
                
                    mathematical models
                
                    Decision-Making
                
                    Dynamical systems
                
                    Indirect reciprocity
                
                    Inter-group favouritism
                
                    Selfishness
                
                    Stakes