Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-02-26
Volume 14, Issue 6, pages 15-20, July/August 2009
Computer Science
Neural and Evolutionary Computing
Scientific paper
10.1002/cplx.20269
Evolutionary complexity is here measured by the number of trials/evaluations needed for evolving a logical gate in a non-linear medium. Behavioural complexity of the gates evolved is characterised in terms of cellular automata behaviour. We speculate that hierarchies of behavioural and evolutionary complexities are isomorphic up to some degree, subject to substrate specificity of evolution and the spectrum of evolution parameters.
Adamatzky Andy
Bull Larry
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