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dc.contributor.authorAnagnou, Stavros
dc.contributor.authorPolani, Daniel
dc.contributor.authorSalge, Christoph
dc.date.accessioned2023-11-01T15:45:06Z
dc.date.available2023-11-01T15:45:06Z
dc.date.issued2023-07-28
dc.identifier.citationAnagnou , S , Polani , D & Salge , C 2023 , The Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamics . in ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference . MIT Press , Sapporo, Japan , ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference , Sapporo , Japan , 24/07/23 . https://doi.org/10.1162/isal_a_00588
dc.identifier.citationconference
dc.identifier.otherORCID: /0000-0002-3233-5847/work/145926921
dc.identifier.urihttp://hdl.handle.net/2299/27048
dc.description© 2023 The MIT Press. This is an open access conference proceeding distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
dc.description.abstractWe examine the effect of noise on societies of agents using an agent based model of evolutionary norm emergence. Generally we see that noisy societies are more selfish, smaller and discontent, with noisy societies caught in rounds of perpetual punishment preventing them from flourishing. Surprisingly, despite the detrimental effect of noise on the population, it doesn’t seem to evolve away, in fact, in some cases it seems the level of noise increases. We carry out further analysis and provide reasons for why this might be the case. Furthermore, we claim that our framework evolving the noise/ambiguity of norms is a new way to model the tight/loose framework of norms, suggesting that despite ambiguous norms’ detrimental effect on society, evolution doesn’t favour clarity.en
dc.format.extent9
dc.format.extent1972165
dc.language.isoeng
dc.publisherMIT Press
dc.relation.ispartofALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference
dc.titleThe Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamicsen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionAdaptive Systems
rioxxterms.versionofrecord10.1162/isal_a_00588
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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