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Proceedings Paper • Open Access

A tale of three bio-inspired computational approaches
Author(s): J. David Schaffer;

Paper Abstract

I will provide a high level walk-through for three computational approaches derived from Nature. First, evolutionary computation implements what we may call the “mother of all adaptive processes.” Some variants on the basic algorithms will be sketched and some lessons I have gleaned from three decades of working with EC will be covered. Then neural networks, computational approaches that have long been studied as possible ways to make “thinking machines”, an old dream of man’s, and based upon the only known existing example of intelligence. Then, a little overview of attempts to combine these two approaches that some hope will allow us to evolve machines we could never hand-craft. Finally, I will touch on artificial immune systems, Nature’s highly sophisticated defense mechanism, that has emerged in two major stages, the innate and the adaptive immune systems. This technology is finding applications in the cyber security world.

Paper Details

Date Published: 22 May 2014
PDF: 5 pages
Proc. SPIE 9119, Machine Intelligence and Bio-inspired Computation: Theory and Applications VIII, 911902 (22 May 2014); doi: 10.1117/12.2058210
Show Author Affiliations
J. David Schaffer, Binghamton Univ. (United States)

Published in SPIE Proceedings Vol. 9119:
Machine Intelligence and Bio-inspired Computation: Theory and Applications VIII
Misty Blowers; Jonathan Williams, Editor(s)

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