Degenerate neutrality creates evolvable fitness landscapes

Whitacre, Dr James M and Bender, Dr Axel (2009) Degenerate neutrality creates evolvable fitness landscapes. [Conference Paper] (In Press)

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Understanding how systems can be designed to be evolvable is fundamental to research in optimization, evolution, and complex systems science. Many researchers have thus recognized the importance of evolvability, i.e. the ability to find new variants of higher fitness, in the fields of biological evolution and evolutionary computation. Recent studies by Ciliberti et al (Proc. Nat. Acad. Sci., 2007) and Wagner (Proc. R. Soc. B., 2008) propose a potentially important link between the robustness and the evolvability of a system. In particular, it has been suggested that robustness may actually lead to the emergence of evolvability. Here we study two design principles, redundancy and degeneracy, for achieving robustness and we show that they have a dramatically different impact on the evolvability of the system. In particular, purely redundant systems are found to have very little evolvability while systems with degeneracy, i.e. distributed robustness, can be orders of magnitude more evolvable. These results offer insights into the general principles for achieving evolvability and may prove to be an important step forward in the pursuit of evolvable representations in evolutionary computation.

Item Type:Conference Paper
Keywords:degeneracy, evolutionary computation, evolvability, neutral networks, optimization, redundancy, robustness
Subjects:Computer Science > Complexity Theory
Biology > Theoretical Biology
Biology > Evolution
Computer Science > Artificial Intelligence
ID Code:6576
Deposited By: Whitacre, Dr James M
Deposited On:06 Jul 2009 09:43
Last Modified:11 Mar 2011 08:57

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