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dc.contributor.authorNehaniv, C.L.
dc.contributor.authorWagner, G.P.
dc.date.accessioned2011-02-08T15:48:34Z
dc.date.available2011-02-08T15:48:34Z
dc.date.issued1998
dc.identifier.citationNehaniv , C L & Wagner , G P 1998 , The right stuff : appropriate mathematics for evolution and development biology . UH Computer Science Technical Report , vol. 315 , University of Hertfordshire .
dc.identifier.otherPURE: 88639
dc.identifier.otherPURE UUID: 8c09c680-15af-4f10-b7a4-f0cdae1c9f01
dc.identifier.otherdspace: 2299/5318
dc.identifier.urihttp://hdl.handle.net/2299/5318
dc.description.abstractWe are looking for the ‘right stuff’, i.e. appropriate mathematical and computational tools/ models for describing, studying, building or understanding fundamental aspects of natural living systems or living systems as-they-could-be (whether carbon-based, digital or otherwise) as opposed to inanimate systems. Classical mathematical methods of population genetics tend to set out a fixed space of possibilities for the evolution of gene frequencies within a population. Unfortunately, by circumscribing the state-space at the outset, such an approach excludes the possibility of expressing change in developmental mechanisms or new evolutionary innovations such as body plans. While differential equation descriptions have proved crucial for understanding physics and chemistry and aspects of evolution, they seem to have largely failed as an appropriate language for some key aspects of biological systems.en
dc.language.isoeng
dc.publisherUniversity of Hertfordshire
dc.relation.ispartofseriesUH Computer Science Technical Report
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.titleThe right stuff : appropriate mathematics for evolution and development biologyen
dc.contributor.institutionSchool of Computer Science
dc.relation.schoolSchool of Computer Science
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstyperestrictedAccess


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