Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1839
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dc.contributor.authorKadıhasanoğlu, Didem-
dc.contributor.authorBeer, Randall D.-
dc.contributor.authorBingham, Geoffrey P.-
dc.date.accessioned2019-07-09T14:35:40Z
dc.date.available2019-07-09T14:35:40Z
dc.date.issued2015-06
dc.identifier.citationKadihasanoglu, D., Beer, R. D., & Bingham, G. P. (2015). Evolutionary robotics techniques used to model information and control of visually guided braking. Adaptive Behavior, 23(3), 125-142.en_US
dc.identifier.issn1059-7123
dc.identifier.urihttps://doi.org/10.1177/1059712315576392-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1839-
dc.description.abstractThis paper utilizes evolutionary robotics techniques as a hypothesis generator to explore optical variables and control strategies that could be used to solve a driving-like braking task. Given such a task, humans exhibit two different braking behaviors: continuously regulated braking and impulsive braking. Based on an oft-used experimental task in human perception/action research, a series of evolutionary robotics simulations were developed to explore the space of possible braking strategies by examining how braking strategies change as the optical information is manipulated. Our results can be summarized as follows: (1) behaviors similar to human behavior were observed only when the constraints were selected correctly; (2) the optical variables and proportional rate yielded significantly better braking performance; (3) two different classes of impulsive braking behaviors were observed, including one not reported in previous studies: discrete impulsive braking and oscillatory impulsive braking; (4) the optical variable is used to initiate and terminate braking; (5) the evolved model agents use a proportional rate control strategy to regulate braking continuously. We argue that combining psychological experiments and evolutionary robotics simulations is a promising research methodology that is useful for testing existing hypotheses and generating new ones.en_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofAdaptive Behavioren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEvolutionary roboticsen_US
dc.subjectvisually guided brakingen_US
dc.subjectproportional rate controlen_US
dc.subjectconstant tau-dot strategyen_US
dc.titleEvolutionary robotics techniques used to model information and control of visually guided brakingen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Science and Literature, Department of Psychologyen_US
dc.departmentFakülteler, Fen Edebiyat Fakültesi, Psikoloji Bölümütr_TR
dc.identifier.volume23
dc.identifier.issue3
dc.identifier.startpage125
dc.identifier.endpage142
dc.authorid0000-0001-9899-7264-
dc.identifier.wosWOS:000355274500001en_US
dc.identifier.scopus2-s2.0-84930751097en_US
dc.institutionauthorKadıhasanoğlu, Didem-
dc.contributor.YOKid59835-
dc.identifier.doi10.1177/1059712315576392-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.relation.internationalNSF [IIC-1216739]en_US
dc.identifier.scopusqualityQ4-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
crisitem.author.dept07.04. Department of Psychology-
Appears in Collections:Psikoloji Bölümü / Department of Psychology
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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