Physical model of immune inspired computing

Artificial immune system is a rapidly growing field of information processi ng and computing based upon immune inspired paradigms of nonlinear dynamics . This paper introduces stochastic models which mimic the phenomenology of basic functions of immune systems such as self-nonself discrimination, self -repair, predator-prey pursuit, and reproduction. These models represent a unified formalism for building an artificial immune system for effective in formation processing and computing. (C) 2000 Elsevier Science Inc. All righ ts reserved.