dc.contributor.author | Van Dijk, Sander G. | |
dc.contributor.author | Polani, Daniel | |
dc.date.accessioned | 2019-10-22T00:02:47Z | |
dc.date.available | 2019-10-22T00:02:47Z | |
dc.date.issued | 2012-07-01 | |
dc.identifier.citation | Van Dijk , S G & Polani , D 2012 , Informational drives for sensor evolution . in Artificial Life 13 : Proceedings of the 13th International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2012 . Artificial Life 13: Proceedings of the 13th International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2012 , East Lansing, Michigan , pp. 333-340 , 13th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life 13, ALIFE 2012 , East Lansing, MI , United States , 19/07/12 . https://doi.org/10.7551/978-0-262-31050-5-ch044 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 9780262310505 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098105 | |
dc.identifier.uri | http://hdl.handle.net/2299/21782 | |
dc.description | © 2012 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license | |
dc.description.abstract | It has been hypothesized that the evolution of sensors is a pivotal driver for the evolution of organisms, and especially, as a crucial part of the perception-action loop, a driver for cognitive development. The questions of why and how this is the case are important: what are the principles that push the evolution of sensorimotor systems? An interesting aspect of this problem is the co-option of sensors for functions other than those originally driving their development (e.g. the auditive sense of bats being employed as a 'visual' modality). Even more striking is the phenomenon found in nature of sensors being driven to the limits of precision, while starting from much simpler beginnings. While a large potential for diversification and exaptation is visible in the observed phenotypes, gaining a deeper understanding of why and how this can be achieved is a significant problem. In this present paper, we will introduce a formal and generic information-theoretic model for understanding potential drives of sensor evolution, both in terms of improving sensory ability and in terms of extending and/or shifting sensory function. | en |
dc.format.extent | 8 | |
dc.format.extent | 533323 | |
dc.language.iso | eng | |
dc.relation.ispartof | Artificial Life 13 | |
dc.relation.ispartofseries | Artificial Life 13: Proceedings of the 13th International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2012 | |
dc.subject | Modelling and Simulation | |
dc.title | Informational drives for sensor evolution | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=84874723989&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.7551/978-0-262-31050-5-ch044 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |