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Digital Evolution Exhibits Surprising Robustness to Poor Design Decisions David M. Bryson and Charles Ofria Department of Computer Science and Engineering BEACON Center for the Study of Evolution in Action Michigan State
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Document Date: 2013-02-07 15:39:04


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City

Ann Arbor / Cambridge / Minneapolis / Lisbon / Boston / /

Company

Adaptive Systems / MIT Press / Self-Organizing Systems / SelfManaging Systems / /

Country

Netherlands / Portugal / /

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Facility

University of Michigan Press / Berlin Technical University / Action Michigan State University / /

IndustryTerm

software system / digital evolution systems / software models / Genetic algorithms / virtual hardware / /

Organization

Berlin Technical University / Michigan State University / Royal Society of London / National Science Foundation / University of Michigan Press / Massachusetts Institute of Technology / Charles ofria Department of Computer Science / International Society of Artificial Life / Computer Science and Engineering BEACON Center for the Study of Evolution / /

Person

Richard Lenski / Heather Goldsby / Artificial Life VIII / David M. Bryson / Charles Ofria / /

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Position

author / researcher / /

ProvinceOrState

Minnesota / Massachusetts / Michigan / /

PublishedMedium

The American Naturalist / Proceedings of the Royal Society / Nature Reviews Genetics / IEEE Transactions on Evolutionary Computation / /

Technology

Directed Evolution / flow control / 2012 Massachusetts Institute of Technology / Simulation / genotype / injecting the reference genotype / /

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