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dc.contributor.authorLiese, A.
dc.contributor.authorPolani, D.
dc.contributor.authorUthmann, T.
dc.date.accessioned2009-03-31T09:12:03Z
dc.date.available2009-03-31T09:12:03Z
dc.date.issued2001
dc.identifier.citationLiese , A , Polani , D & Uthmann , T 2001 , ' A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors ' , Artificial life , vol. 7 , no. 2 , pp. 99-124 . https://doi.org/10.1162/106454601753138961
dc.identifier.issn1064-5462
dc.identifier.otherPURE: 96749
dc.identifier.otherPURE UUID: 8a2c527f-efe2-4e53-933c-047ee5ba593e
dc.identifier.otherdspace: 2299/3074
dc.identifier.otherScopus: 0035294629
dc.identifier.urihttp://hdl.handle.net/2299/3074
dc.descriptionOriginal article can be found at: http://www.mitpressjournals.org/alife Copyright The MIT Press. DOI: 10.1162/106454601753138961 [Full text of this article is not available in the UHRA]
dc.description.abstractIn this article we study a model for the evolution of the spectral sensitivity of visual receptors for agents in a continuous virtual environment. The model uses a genetic algorithm (GA) to evolve the agent sensors along with the control of the agents by requiring the agents to solve certain tasks in the simulation environment. The properties of the evolved sensors are analyzed for different scenarios. In particular, it is shown that the GA is able to find a balance between sensor costs and agent performance in such a way that the spectral sensor sensitivity reflects the emission spectrum of the target objects and that the capability of the sensors to evolve can help the agents significantly in adapting to their task.en
dc.language.isoeng
dc.relation.ispartofArtificial life
dc.titleA Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptorsen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1162/106454601753138961
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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