| dc.contributor.author | Harder, M. | |
| dc.contributor.author | Polani, D. | |
| dc.contributor.author | Nehaniv, C.L. | |
| dc.date.accessioned | 2011-10-20T09:24:15Z | |
| dc.date.available | 2011-10-20T09:24:15Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | Harder , M , Polani , D & Nehaniv , C L 2011 , Think globally, sense locally : From local information to global features . in Procs of 2011 IEEE Symposium on Artificial Life (ALIFE) . 1st edn , Symposium Series on Computational Intelligence , Institute of Electrical and Electronics Engineers (IEEE) , pp. 70-77 , ALIFE 2011 , Paris , France , 11/04/11 . https://doi.org/10.1109/ALIFE.2011.5954661 | |
| dc.identifier.citation | conference | |
| dc.identifier.isbn | 978-1-61284-062-8 | |
| dc.identifier.other | PURE: 424929 | |
| dc.identifier.other | PURE UUID: 8fd3b956-4d92-4446-88cd-76eeed4fecd4 | |
| dc.identifier.other | Scopus: 80051649076 | |
| dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098116 | |
| dc.identifier.uri | http://hdl.handle.net/2299/6731 | |
| dc.description | “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” | |
| dc.description.abstract | Shannon's information theory can be used to quantify morphological and topological features of a collective of agents in an arbitrary environment. In particular the ability of individual agents to extract information locally about global features of the collective can be quantified. Here, we considered chains of agents in a grid world. The agents are equipped with local sensors. We then quantified the amount of information the sensors contain about certain features global to the chain. Furthermore, we compared the amount of locally available information to the amount of information the whole collective could in principle acquire about a feature in different contexts. | en |
| dc.format.extent | 8 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation.ispartof | Procs of 2011 IEEE Symposium on Artificial Life (ALIFE) | |
| dc.relation.ispartofseries | Symposium Series on Computational Intelligence | |
| dc.title | Think globally, sense locally : From local information to global features | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Science & Technology Research Institute | |
| rioxxterms.version | SMUR | |
| rioxxterms.versionofrecord | https://doi.org/10.1109/ALIFE.2011.5954661 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
