Computational and Predictive Trust Game Model for Switching Process in fMRI

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Tarih

2022

Dergi Başlığı

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Cilt Başlığı

Yayıncı

Institute of Electrical and Electronics Engineers Inc.

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Game 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.

Açıklama

3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- 185735

Anahtar Kelimeler

computational trust, decision making, fMRI, game theory, social cognition, trust game, Computation theory, Computer games, Decision theory, Game theory, Mean square error, Petroleum reservoir evaluation, Cognitive process, Computational trust, Decisions makings, FMRI, Game models, Root mean square errors, Social cognition, Subject-specific, Switching process, Trust games, Decision making

Kaynak

3rd International Informatics and Software Engineering Conference, IISEC 2022

WoS Q Değeri

Scopus Q Değeri

N/A

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