dc.contributor.author | Polani, D. | |
dc.contributor.author | Prokopenko, M. | |
dc.contributor.author | Chadwick, M. | |
dc.contributor.editor | Bullock, Seth | |
dc.contributor.editor | Noble, Jason | |
dc.contributor.editor | Watson, Richard | |
dc.contributor.editor | Bedau, Mark A. | |
dc.date.accessioned | 2011-11-21T12:01:12Z | |
dc.date.available | 2011-11-21T12:01:12Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Polani , 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.isbn | 978-0-262-75017-2 | |
dc.identifier.other | dspace: 2299/2540 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098118 | |
dc.identifier.uri | http://hdl.handle.net/2299/7036 | |
dc.description | Original paper can be found at: http://www.alifexi.alife.org/proceedings/ | |
dc.description.abstract | We 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.format.extent | 194750 | |
dc.language.iso | eng | |
dc.publisher | MIT Press | |
dc.relation.ispartof | Artificial Life XI | |
dc.title | Modelling stigmergic gene transfer | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Centre for Future Societies Research | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |