dc.contributor.author | Biehl, Martin | |
dc.contributor.author | Polani, Daniel | |
dc.date.accessioned | 2018-07-31T11:21:02Z | |
dc.date.available | 2018-07-31T11:21:02Z | |
dc.date.issued | 2017-09 | |
dc.identifier.citation | Biehl , M & Polani , D 2017 , Action and perception for spatiotemporal patterns . in Proceedings of the Fourteenth European Conference on Artificial LifeEuropean Conference on Artificial Life (ECAL) 2017 : Create, play, experiment, discover: revealing the experimental power of virtual worlds . vol. 14 , MIT Press , pp. 68 , European Conference on Artificial Life 2017 , Lyon , France , 4/09/17 . https://doi.org/10.1162/ecal_a_0015_14 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-0-262-34633-7 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098104 | |
dc.identifier.uri | http://hdl.handle.net/2299/20289 | |
dc.description.abstract | This is a contribution to the formalization of the concept of agents in multivariate Markov chains. Agents are commonly defined as entities that act, perceive, and are goal-directed. In a multivariate Markov chain (e.g. a cellular automaton) the transition matrix completely determines the dynamics. This seems to contradict the possibility of acting entities within such a system. Here we present definitions of actions and per- ceptions within multivariate Markov chains based on entity- sets. Entity-sets represent a largely independent choice of a set of spatiotemporal patterns that are considered as all the entities within the Markov chain. For example, the entity- set can be chosen according to operational closure conditions or complete specific integration. Importantly, the perception- action loop also induces an entity-set and is a multivariate Markov chain. We then show that our definition of actions leads to non-heteronomy and that of perceptions specialize to the usual concept of perception in the perception-action loop. | en |
dc.format.extent | 75 | |
dc.format.extent | 798361 | |
dc.language.iso | eng | |
dc.publisher | MIT Press | |
dc.relation.ispartof | Proceedings of the Fourteenth European Conference on Artificial LifeEuropean Conference on Artificial Life (ECAL) 2017 | |
dc.title | Action and perception for spatiotemporal patterns | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
rioxxterms.versionofrecord | 10.1162/ecal_a_0015_14 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |