A game-theoretic approach to artificial immune networks

Abstract

In this paper, a well-known evolutionary dynamics, replicator dynamics, is used to model the dynamics of an immune network. A doubly symmetric game is associated to an immune network by this model, which implies some optimal behavior throughout time under replicator dynamics. Stability of an immune network is guaranteed by such dynamics. Two types of immune networks were modeled. In addition, an algorithm in which perturbation of an immune network by a set of antigens to be recognized is proposed. Some preliminary experiments were carried out to show the potentials of the model. © Springer-Verlag 2004.