Real life: Cellular automaton for investigating competition between pleiotrophy and redundancy

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dc.contributor.authorHoo, T.
dc.contributor.authorTing, A.
dc.contributor.authorO'Neill, E.
dc.contributor.authorAllison, A.
dc.contributor.authorAbbott, D.
dc.contributor.conferenceElectronics and Structures for MEMS II (2nd : 2001 : Adelaide, Australia)
dc.contributor.editorBergmann, N.W.
dc.date.issued2001
dc.description© 2003 COPYRIGHT SPIE--The International Society for Optical Engineering
dc.description.abstractRedundancy is where multiple agents perform one task. On the other hand, pleiotropy is the inverse of redundancy- that is, where one agent multitasks. In real systems it is usual to find a mixture of both pleiotropic and redundant agents. In engineered systems we may see this in communication networks, computer systems, smart structures, nano-self-assembled systems etc. In biological systems, we can also observe the interplay of pleiotropy and redundancy from neural networks through to DNA coding. The open question is how to design a given complex system with the correct trade-off between redundancy and pleiotropy, in order to confer maximum robustness for lowest cost. Here we propose an evolutionary computational approach for exploring this trade-off in a toy model cellular automation, dubbed Real Life.
dc.description.statementofresponsibilityTeck L. Hoo, Andrew Ting, Erin O'Neill, Andrew G. Allison, and Derek Abbott
dc.identifier.citationElectronics and structures for MEMS II : 17-19 December, 2001, Adelaide, Australia / Neil W. Bergmann (ed.), pp. 380-390
dc.identifier.doi10.1117/12.449170
dc.identifier.isbn0819443212
dc.identifier.issn0277-786X
dc.identifier.orcidAllison, A. [0000-0003-3865-511X]
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.urihttp://hdl.handle.net/2440/28367
dc.language.isoen
dc.publisherTHE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
dc.publisher.placePO BOX 10 BELLINGHAM WASHINGTON USA
dc.relation.ispartofseriesProceedings of SPIE--the International Society for Optical Engineering ; 4591.
dc.source.urihttp://spiedigitallibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG004591000001000380000001&idtype=cvips&gifs=Yes
dc.titleReal life: Cellular automaton for investigating competition between pleiotrophy and redundancy
dc.typeConference paper
pubs.publication-statusPublished

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