Computational and Predictive Trust Game Model for Switching Process in fMRI

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dc.authorscopusid55807447100
dc.authorscopusid58067653000
dc.authorscopusid55942313100
dc.contributor.authorCandemir, C.
dc.contributor.authorDemir, A.
dc.contributor.authorGonul, A.S.
dc.date.accessioned2024-08-25T18:53:20Z
dc.date.available2024-08-25T18:53:20Z
dc.date.issued2022
dc.departmentEge Üniversitesien_US
dc.description3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- 185735en_US
dc.description.abstractGame theory paradigms allow analyzing experimentally through simulating the cognitive processes required for social cognition, such as perception, learning and decision-making, and actions. In this paper, the trust game paradigm, which is an extensively used task, is studied for measuring the trust. First, the trust game is designed as an fMRI task and then the trust data is acquired by running the task with n=80 subjects. Additionally, a computational mathematical model is proposed to model the subject-specific decision-making behavior by learning the previous game trials and then computing the difference between the actual and predicted gain, i.e., the prediction error (PE). The model is evaluated on two groups: depressed participants and healthy controls. The performance of the model is evaluated with the root mean square errors (RMSE) metric. The evaluation results show that even if the decision behavior of the participants exhibits different patterns, the proposed model can converge the actual gain fairly well with a low RMSE value. © 2022 IEEE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 222S117en_US
dc.description.sponsorshipACKNOWLEDGMENT This study was supported in part by TUBITAK project 222S117. The authors also kindly thank whole SoCAT team for their effort during the acquisition of the fMRI data.en_US
dc.identifier.doi10.1109/IISEC56263.2022.9998218
dc.identifier.isbn9781665459952
dc.identifier.scopus2-s2.0-85146366128en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IISEC56263.2022.9998218
dc.identifier.urihttps://hdl.handle.net/11454/103046
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Informatics and Software Engineering Conference, IISEC 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240825_Gen_US
dc.subjectcomputational trusten_US
dc.subjectdecision makingen_US
dc.subjectfMRIen_US
dc.subjectgame theoryen_US
dc.subjectsocial cognitionen_US
dc.subjecttrust gameen_US
dc.subjectComputation theoryen_US
dc.subjectComputer gamesen_US
dc.subjectDecision theoryen_US
dc.subjectGame theoryen_US
dc.subjectMean square erroren_US
dc.subjectPetroleum reservoir evaluationen_US
dc.subjectCognitive processen_US
dc.subjectComputational trusten_US
dc.subjectDecisions makingsen_US
dc.subjectFMRIen_US
dc.subjectGame modelsen_US
dc.subjectRoot mean square errorsen_US
dc.subjectSocial cognitionen_US
dc.subjectSubject-specificen_US
dc.subjectSwitching processen_US
dc.subjectTrust gamesen_US
dc.subjectDecision makingen_US
dc.titleComputational and Predictive Trust Game Model for Switching Process in fMRIen_US
dc.typeConference Objecten_US

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