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dc.contributor.authorKırtay, M.
dc.contributor.authorVannucci, L.
dc.contributor.authorAlbanese, U.
dc.contributor.authorLaschi, C.
dc.contributor.authorÖztop, Erhan
dc.contributor.authorFalotico, E.
dc.date.accessioned2020-10-20T11:38:54Z
dc.date.available2020-10-20T11:38:54Z
dc.date.issued2019
dc.identifier.issn1059-7123en_US
dc.identifier.urihttp://hdl.handle.net/10679/7027
dc.identifier.urihttps://journals.sagepub.com/doi/full/10.1177/1059712319880649
dc.description.abstractBiological agents need to complete perception-action cycles to perform various cognitive and biological tasks such as maximizing their wellbeing and their chances of genetic continuation. However, the processes performed in these cycles come at a cost. Such costs force the agent to evaluate a tradeoff between the optimality of the decision making and the time and computational effort required to make it. Several cognitive mechanisms that play critical roles in managing this tradeoff have been identified. These mechanisms include adaptation, learning, memory, attention, and planning. One of the often overlooked outcomes of these cognitive mechanisms, in spite of the critical effect that they may have on the perception-action cycle of organisms, is “emotion.” In this study, we hold that emotion can be considered as an emergent phenomenon of a plausible neurocomputational energy regulation mechanism, which generates an internal reward signal to minimize the neural energy consumption of a sequence of actions (decisions), where each action triggers a visual memory recall process. To realize an optimal action selection over a sequence of actions in a visual recalling task, we adopted a model-free reinforcement learning framework, in which the reward signal—that is, the cost—was based on the iteration steps of the convergence state of an associative memory network. The proposed mechanism has been implemented in simulation and on a robotic platform: the iCub humanoid robot. The results show that the computational energy regulation mechanism enables the agent to modulate its behavior to minimize the required neurocomputational energy in performing the visual recalling task.en_US
dc.description.sponsorshipHorizon 2020 Framework Programme
dc.language.isoengen_US
dc.publisherSageen_US
dc.relation.ispartofAdaptive Behavior
dc.rightsopenAccess
dc.titleEmotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making tasken_US
dc.typeArticleen_US
dc.description.versionPublisher versionen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-3051-6038 & YÖK ID 45227) Öztop, Erhan
dc.contributor.ozuauthorÖztop, Erhan
dc.identifier.doi10.1177/1059712319880649en_US
dc.subject.keywordsEmotionen_US
dc.subject.keywordsEnergy regulationen_US
dc.subject.keywordsEmergent behavioren_US
dc.subject.keywordsVisual recallingen_US
dc.subject.keywordsDecision makingen_US
dc.identifier.scopusSCOPUS:2-s2.0-85074334763
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institution Academic Staff


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