On Natural Life's Tricks to Survive and Evolve

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Date

1998-11-08

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Publisher

Universität Dortmund

Abstract

Which are the fundamental principles of life? This is the main question to be addressed if one tries to create artifcial life on computers. Though it has been answered only partially, evolutionary algorithms are substantially contributing already to many kinds of human problem solving by means of virtual organisms. Besides looking back on that success story and extrapolating it a bit into the future - both endeavors obviously being subjective -, a new result will be presented in the following showing the importance of multicellularity, which helps to self-adapt the error rates of the replication step to what is needed for eficacious and efficient optimum seeking without individual learning.

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Keywords

binary optimization, evolutionary algorithms, evolutionary computation, evolution strategies, imitating life, multicellularity, natural computation, ontogeny, phenotypic plasticity, self-adaptive mutabilities, somatic mutations

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