| dc.contributor.advisor | Morente López, Jesús | |
| dc.contributor.author | Lumbreras Sancho, Sara | es-ES |
| dc.contributor.other | Universidad Pontificia Comillas, Escuela Universiaria de Enfermería Y Fisioterapia | es_ES |
| dc.date.accessioned | 2021-07-16T08:33:21Z | |
| dc.date.available | 2021-07-16T08:33:21Z | |
| dc.date.issued | 2022-12-31 | es_ES |
| dc.identifier.issn | 1664-1078 | es_ES |
| dc.identifier.uri | https:doi.org10.3389fpsyg.2022.868903 | es_ES |
| dc.description | Artículos en revistas | es_ES |
| dc.description.abstract | Understanding artificial intelligence (AI) and belief formation have interesting bidirectional synergies. From explaining the logical derivation of beliefs and their internal consistency, to giving a quantitative account of mightiness, AI still has plenty of unexploited metaphors that can illuminate belief formation. In addition, acknowledging that AI should integrate itself with our belief processes (mainly, the capacity to reflect, rationalize, and communicate that is allowed by semantic coding) makes it possible to focus on more promising lines such as Interpretable Machine Learning. | es-ES |
| dc.description.abstract | Understanding artificial intelligence (AI) and belief formation have interesting bidirectional synergies. From explaining the logical derivation of beliefs and their internal consistency, to giving a quantitative account of mightiness, AI still has plenty of unexploited metaphors that can illuminate belief formation. In addition, acknowledging that AI should integrate itself with our belief processes (mainly, the capacity to reflect, rationalize, and communicate that is allowed by semantic coding) makes it possible to focus on more promising lines such as Interpretable Machine Learning. | en-GB |
| dc.format.mimetype | application/pdf | es_ES |
| dc.language.iso | en-GB | es_ES |
| dc.source | Revista: Frontiers in Psychology, Periodo: 1, Volumen: online, Número: , Página inicial: 868903-1, Página final: 868903-4 | es_ES |
| dc.subject | UNESCO::32 Medicina::3201 Ciencias clínicas::320199 Otras especialidades (Enfermería) | es_ES |
| dc.subject | UNESCO::58 Pedagogía::5802 Organización y planificación de la educación | es_ES |
| dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
| dc.title | The synergies between understanding belief formation and artificial intelligence | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dc.rights.holder | | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.keywords | artificial intelligence, Belief, Machine bias, Complexity, reinforcement learning | es-ES |
| dc.keywords | artificial intelligence, Belief, Machine bias, Complexity, reinforcement learning | en-GB |
