DescriptionNatural behaviour in cooperation and competition is often studied in games such as the Iterated Prisoner’s Dilemma (IPD). We consider ten common IPD strategies in a spatial environment with biologically-inspired evolutionary conditions. Agents who accumulate sufficient payoffs (‘energy’) through IPD games with their neighbours are able to reproduce. Agents can also adapt by adopting the strategies of their neighbours. Simulation results show that cooperative strategies are more likely to survive and reproduce in harsh environments. Moreover, evolution is in the advantage of cooperative strategies, because many unsuccessful defectors evolve into cooperators. This work gives light to how strategies for IPD perform in a biologically-realistic environment.
|Period||8 Nov 2018|
|Event title||30th Benelux Conference on Artificial Intelligence, BNAIC 2018|