Publication
Designing a mood-mediated multi-level reasoner
dc.contributor.author | Gomes, Samuel | |
dc.contributor.author | Rocha, José Bernardo | |
dc.contributor.author | Dias, João | |
dc.contributor.author | Martinho, Carlos | |
dc.date.accessioned | 2024-10-28T10:46:02Z | |
dc.date.available | 2024-10-28T10:46:02Z | |
dc.date.issued | 2024-07 | |
dc.description.abstract | Psychology-oriented research extensively studied how affect influences human decision making. Particularly, the cognitive tuning assumption suggests that mood can serve to regulate between shallow and deliberative decisions - a more negative mood means higher deliberation. This work proposes a model that mimics the cognitive tuning assumption. To that end, the Collective Risk Dilemma (CRD) game For the Planet was designed and created, a process allowing for distinct levels of reasoning was defined and tested in that game, and mood was integrated to control the level of reasoning of such a process. Several distinct Artificial Intelligence (AI) profiles were created to verify that the developed model was able to dynamically change the level of reasoning and adjust the resulting AI behavior in our CRD game. Results revealed that the distinct AI profiles were influenced by their affective states and experienced circumstances, and that the emergent behaviors were consistent with the cognitive tuning assumption, thus demonstrating that we managed to construct an innovative and flexible model that can use mood to dynamically adjust the level of reasoning of an AI agent. | eng |
dc.identifier.doi | 10.1109/taffc.2023.3293310 | |
dc.identifier.eissn | 2371-9850 | |
dc.identifier.issn | 1949-3045 | |
dc.identifier.uri | http://hdl.handle.net/10400.1/26157 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation | GIMME: Group Interactions Manager for Multiplayer sErious games | |
dc.relation | Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa | |
dc.relation | Algarve Centre for Marine Sciences | |
dc.relation | Algarve Centre for Marine Sciences | |
dc.relation | Centre for Marine and Environmental Research | |
dc.relation.ispartof | IEEE Transactions on Affective Computing | |
dc.rights.uri | N/A | |
dc.subject | Mood | |
dc.subject | Games | |
dc.subject | Cognition | |
dc.subject | Appraisal | |
dc.subject | Decision making | |
dc.subject | Tuning | |
dc.subject | Computational modeling | |
dc.subject | Affective computing | |
dc.subject | Cognitive models | |
dc.subject | Appraisal processes | |
dc.subject | Mood or core affect | |
dc.title | Designing a mood-mediated multi-level reasoner | eng |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | GIMME: Group Interactions Manager for Multiplayer sErious games | |
oaire.awardTitle | Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa | |
oaire.awardTitle | Algarve Centre for Marine Sciences | |
oaire.awardTitle | Algarve Centre for Marine Sciences | |
oaire.awardTitle | Centre for Marine and Environmental Research | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F143460%2F2019/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT | |
oaire.citation.issue | 3 | |
oaire.citation.title | IEEE Transactions on Affective Computing | |
oaire.citation.volume | 15 | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.familyName | Dias | |
person.givenName | João | |
person.identifier.ciencia-id | 541C-36A9-F1A0 | |
person.identifier.orcid | 0000-0002-1653-1821 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
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