| dc.contributor.author | Egri-Nagy, Attila | |
| dc.contributor.author | Nehaniv, C.L. | |
| dc.date.accessioned | 2011-08-18T13:01:02Z | |
| dc.date.available | 2011-08-18T13:01:02Z | |
| dc.date.issued | 2006 | |
| dc.identifier.citation | Egri-Nagy , A & Nehaniv , C L 2006 , ' Making sense of the sensory data - coordinate systems by hierarchical decomposition ' , Lecture Notes in Computer Science (LNCS) , vol. 4253 , pp. 333-340 . https://doi.org/10.1007/11893011_43 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.other | PURE: 229553 | |
| dc.identifier.other | PURE UUID: 0bb9ee98-4dca-4beb-a766-4c8fa883141a | |
| dc.identifier.other | Scopus: 33750727742 | |
| dc.identifier.uri | http://hdl.handle.net/2299/6308 | |
| dc.description | "The original publication is available at www.springerlink.com" Copyright Springer | |
| dc.description.abstract | Having the right sensory channels is an important ingredient for building an autonomous agent, but we still have the problem of making sense of the sensory data for the agent. This is the basic problem of artificial intelligence. Here we propose an algebraic method for generating abstract coordinate system representations of the environment based on the agent’s actions. These internal representations can be refined and regenerated during the lifespan of the agent. | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Lecture Notes in Computer Science (LNCS) | |
| dc.title | Making sense of the sensory data - coordinate systems by hierarchical decomposition | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.description.status | Peer reviewed | |
| rioxxterms.version | AM | |
| rioxxterms.versionofrecord | https://doi.org/10.1007/11893011_43 | |
| rioxxterms.type | Journal Article/Review | |
| herts.preservation.rarelyaccessed | true | |
