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dc.contributor.authorKlyubin, A.S.
dc.contributor.authorPolani, D.
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2009-10-12T13:28:08Z
dc.date.available2009-10-12T13:28:08Z
dc.date.issued2004
dc.identifier.citationKlyubin , A S , Polani , D & Nehaniv , C L 2004 , Tracking Information Flow through the Environment: Simple Cases of Stigmerg . in In: Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, edited by Pollack, J. . MIT Press , pp. 563-568 .
dc.identifier.isbn0262661837
dc.identifier.isbn978-0262661836
dc.identifier.otherPURE: 94552
dc.identifier.otherPURE UUID: 4b7e0a09-8467-4973-887f-876d98042579
dc.identifier.otherdspace: 2299/3945
dc.identifier.urihttp://hdl.handle.net/2299/3945
dc.description.abstractRecent work in sensor evolution aims at studying the perception-action loop in a formalized information-theoretic manner. By treating sensors as extracting information and actuators as having the capability to "imprint" information on the environment we can view agents as creating, maintaining and making use of various information flows. In our paper we study the perception-action loop of agents using Shannon information flows. We use information theory to track and reveal the important relationships between agents and their environment. For example, we provide an information-theoretic characterization of stigmergy and evolve finite-state automata as agent controllers to engage in stigmergic communication. Our analysis of the evolved automata and the information flow provides insight into how evolution organizes sensoric information acquisition, implicit internal and external memory, processing and action selection.en
dc.language.isoeng
dc.publisherMIT Press
dc.relation.ispartofIn: Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, edited by Pollack, J.
dc.titleTracking Information Flow through the Environment: Simple Cases of Stigmergen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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