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dc.contributor.authorPolani, D.
dc.contributor.authorProkopenko, M.
dc.contributor.authorChadwick, M.
dc.contributor.editorBullock, Seth
dc.contributor.editorNoble, Jason
dc.contributor.editorWatson, Richard
dc.contributor.editorBedau, Mark A.
dc.date.accessioned2011-11-21T12:01:12Z
dc.date.available2011-11-21T12:01:12Z
dc.date.issued2008
dc.identifier.citationPolani , D , Prokopenko , M & Chadwick , M 2008 , Modelling stigmergic gene transfer . in S Bullock , J Noble , R Watson & M A Bedau (eds) , Artificial Life XI : Procs of the 11th Int Conf on the Simulation and Synthesis of Living Systems . MIT Press , pp. 490-497 .
dc.identifier.isbn978-0-262-75017-2
dc.identifier.otherPURE: 454697
dc.identifier.otherPURE UUID: ddfb9be6-1f7b-4bab-8816-4762db9ad9ea
dc.identifier.otherdspace: 2299/2540
dc.identifier.otherScopus: 79959974372
dc.identifier.urihttp://hdl.handle.net/2299/7036
dc.descriptionOriginal paper can be found at: http://www.alifexi.alife.org/proceedings/
dc.description.abstractWe consider an information-theoretic model studying the conditions when a separation between the dynamics of a ’proto-cell’ and its proto-symbolic representation becomes beneficial in terms of preserving the proto-cell’s information in a noisy environment. In particular, we are interested in understanding the behaviour at the “error threshold” level which, in our case, turns out to be a whole “error interval”. We separate the phenomena into a “waste” and a “loss” component; the “waste” measures “packaging” information which envelops the proto-cell’s information, but itself does not contain any information of interest, the “loss” measures how much of the proto-symbolically encoded information is actually lost. We observe that transitions in the waste/loss functions correspond to the boundaries of the “error interval”. Secondly, we study whether and how different protocells can share such information via a joint code, even if they have slightly different individual dynamics. Implications for the emergence of biological genetic code are discussed.en
dc.language.isoeng
dc.publisherMIT Press
dc.relation.ispartofArtificial Life XI
dc.titleModelling stigmergic gene transferen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Engineering and Computer Science
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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