
Proceedings Paper • Open Access
A tale of three bio-inspired computational approaches
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
Published in SPIE Proceedings Vol. 9119:
Machine Intelligence and Bio-inspired Computation: Theory and Applications VIII
Misty Blowers; Jonathan Williams, Editor(s)
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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