dc.contributor.author | Polani, Daniel | |
dc.contributor.author | Ikegami, Takashi | |
dc.contributor.author | Biehl, Martin | |
dc.contributor.editor | Gershenson, Carlos | |
dc.contributor.editor | Froese, Tom | |
dc.contributor.editor | Siqueiros, Jesus M. | |
dc.contributor.editor | Aguilar, Wendy | |
dc.contributor.editor | Izquierdo, Eduardo J. | |
dc.contributor.editor | Hiroki, Sayama | |
dc.date.accessioned | 2020-09-24T00:03:07Z | |
dc.date.available | 2020-09-24T00:03:07Z | |
dc.date.issued | 2018-06-29 | |
dc.identifier.citation | Polani , D , Ikegami , T & Biehl , M 2018 , Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems . in C Gershenson , T Froese , J M Siqueiros , W Aguilar , E J Izquierdo & S Hiroki (eds) , ALIFE 2016 : The Fifteenth International Conference on the Synthesis and Simulation of Living Systems . 28 edn , Proceedings of the Artificial Life Conference 2016, ALIFE 2016 , MIT Press , pp. 722-729 , 15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016 , Cancun , Mexico , 4/07/16 . https://doi.org/10.7551/978-0-262-33936-0-ch115 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 9780262339360 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/124446549 | |
dc.identifier.uri | http://hdl.handle.net/2299/23156 | |
dc.description | © 2016 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0 - https://creativecommons.org/licenses/by/4.0/) license. | |
dc.description.abstract | We present some arguments why existing methods for representing agents fall short in applications crucial to artificial life. Using a thought experiment involving a fictitious dynamical systems model of the biosphere we argue that the metabolism, motility, and the concept of counterfactual variation should be compatible with any agent representation in dynamical systems. We then propose an information-theoretic notion of integrated spatiotemporal patterns which we believe can serve as the basic building block of an agent definition. We argue that these patterns are capable of solving the problems mentioned before. We also test this in some preliminary experiments. | en |
dc.format.extent | 8 | |
dc.format.extent | 230015 | |
dc.language.iso | eng | |
dc.publisher | MIT Press | |
dc.relation.ispartof | ALIFE 2016 | |
dc.relation.ispartofseries | Proceedings of the Artificial Life Conference 2016, ALIFE 2016 | |
dc.subject | General Biochemistry,Genetics and Molecular Biology | |
dc.subject | Artificial Intelligence | |
dc.subject | Modelling and Simulation | |
dc.title | Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85087102972&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.7551/978-0-262-33936-0-ch115 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |