Population Dynamics of Centipede Game using an Energy Based Evolutionary Algorithm

Mariano, Pedro, and Luis Correia.

Advances in Artificial Life, ECAL. Vol. 12. 2013.

DOI: http://dx.doi.org/10.7551/978-0-262-31709-2-ch168

Used by the ASSISI | bf project

In the context of Evolutionary Game Theory, we have developed an evolutionary algorithm without an explicit fitness function or selection function. Instead players obtain energy by playing games. To avoid exponential growth of the population there is a death event that depends on population size. By tweaking with the relation between payoff and energy and with death event, we create another dilemma that a population must overcome: extinction. We demonstrate this phenomena in the Centipede game.