dc.contributor.author | Guckelsberger, Christian | |
dc.contributor.author | Polani, D. | |
dc.date.accessioned | 2015-03-09T10:03:34Z | |
dc.date.available | 2015-03-09T10:03:34Z | |
dc.date.issued | 2014-06-19 | |
dc.identifier.citation | Guckelsberger , C & Polani , D 2014 , ' Effects of Anticipation in Individually Motivated Behaviour on Control and Survival in a Multi-Agent Scenario with Resource Constraints ' , Entropy , vol. 16 , no. 6 , pp. 3357-3378 . https://doi.org/10.3390/e16063357 | |
dc.identifier.other | PURE: 8201845 | |
dc.identifier.other | PURE UUID: 1ee44282-5a65-4b48-a84b-0a88070ea466 | |
dc.identifier.other | Bibtex: urn:b8993f64258b9c66ddc4372bebc4589c | |
dc.identifier.other | Scopus: 84985943101 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098050 | |
dc.identifier.uri | http://hdl.handle.net/2299/15554 | |
dc.description | This is an open access article distributed under the Creative Commons Attribution License CC BY 3.0 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
dc.description.abstract | Self-organization and survival are inextricably bound to an agent’s ability to control and anticipate its environment. Here we assess both skills when multiple agents compete for a scarce resource. Drawing on insights from psychology, microsociology and control theory, we examine how different assumptions about the behaviour of an agent’s peers in the anticipation process affect subjective control and survival strategies. To quantify control and drive behaviour, we use the recently developed information-theoretic quantity of empowerment with the principle of empowerment maximization. In two experiments involving extensive simulations, we show that agents develop risk-seeking, risk-averse and mixed strategies, which correspond to greedy, parsimonious and mixed behaviour. Although the principle of empowerment maximization is highly generic, the emerging strategies are consistent with what one would expect from rational individuals with dedicated utility models. Our results support empowerment maximization as a universal drive for guided self-organization in collective agent systems | en |
dc.format.extent | 22 | |
dc.language.iso | eng | |
dc.relation.ispartof | Entropy | |
dc.title | Effects of Anticipation in Individually Motivated Behaviour on Control and Survival in a Multi-Agent Scenario with Resource Constraints | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.description.status | Peer reviewed | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | https://doi.org/10.3390/e16063357 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |