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Title: Physical Model of Immune Inspired Computing
Authors: Zak, M.
Issue Date: Sep-1999
Citation: Biological Cybernetics
Abstract: Artificial Immune System is a rapidly growing field of information processing and computing based upon immune inspired paradigns 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.
Appears in Collections:JPL TRS 1992+

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