The joint utilisation of a commonly owned resource often causes the resource to be overused. This is known as the tragedy of the commons. This paper analyses the effects of coevolutionary learning in such kind of situations using genetic programming. In a game-theoretical approach, the situation considers not only the strategic interaction among players, but also the dynamics of a changing environment linked strongly to the players' actions and payoffs. The results of an analytical game are used to formulate a simulation game for the commons, then a series of computational experiments are conducted, obtaining coevolved game strategies that are examined in comparison with those predicted by the analytical model. The obtained results are similar to those predicted by classic game theory, but not always leading to a tragedy.
|Number of pages||8|
|Publication status||Published - 1 Jan 2003|
|Event||IEEE Congress on Evolutionary Computation 2003 - Canberra, Australia|
Duration: 8 Dec 2003 → 12 Dec 2003
|Conference||IEEE Congress on Evolutionary Computation 2003|
|Abbreviated title||IEEE CEC 2003|
|Period||8/12/03 → 12/12/03|