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Evolution of digital organisms at high mutation rates leads to survival of the flattest
Darwinian evolution favours genotypes with high replication rates, a process called ‘survival of the fittest’. However, knowing the replication rate of each individual genotype may not suffice toExpand
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The evolutionary origin of complex features
A long-standing challenge to evolutionary theory has been whether it can explain the origin of complex organismal features. We examined this issue using digital organisms—computer programs thatExpand
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Avida: A Software Platform for Research in Computational Evolutionary Biology
TLDR
Avida is a software platform for experiments with self-replicating and evolving computer programs. Expand
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PERSPECTIVE:EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS
Abstract Robustness is the invariance of phenotypes in the face of perturbation. The robustness of phenotypes appears at various levels of biological organization, including gene expression, proteinExpand
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Evolution of Biological Complexity
TLDR
We show that, because natural selection forces genomes to behave as a natural "Maxwell Demon," within a fixed environment, genomic complexity is forced to increase. Expand
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Distributed Cooperative Caching in Social Wireless Networks
TLDR
This paper introduces cooperative caching policies for minimizing electronic content provisioning cost in Social Wireless Networks (SWNET) with homogenous and heterogeneous object demands. Expand
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Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
TLDR
This paper demonstrates that HyperNEAT, a new and promising generative encoding for evolving neural networks, can evolve quadruped gaits without an engineer manually decomposing the problem. Expand
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On the Performance of Indirect Encoding Across the Continuum of Regularity
TLDR
This paper investigates how an evolutionary algorithm with an indirect encoding exploits the property of phenotypic regularity, an important design principle found in natural organisms and engineered designs. Expand
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Genome complexity, robustness and genetic interactions in digital organisms
Digital organisms are computer programs that self-replicate, mutate and adapt by natural selection. They offer an opportunity to test generalizations about living systems that may extend beyond theExpand
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Balancing Robustness and Evolvability
Can a single unifying mathematical framework help to explain robustness - the ability of organisms to persist in the face of changing conditions - at all biological scales, from biochemical toExpand
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