000131666 001__ 131666
000131666 005__ 20241125101157.0
000131666 0247_ $$2doi$$a10.1016/j.biosystems.2023.105039
000131666 0248_ $$2sideral$$a137196
000131666 037__ $$aART-2023-137196
000131666 041__ $$aeng
000131666 100__ $$0(orcid)0000-0001-6148-0667$$aNavarro, Jorge$$uUniversidad de Zaragoza
000131666 245__ $$aNatural intelligence and the ‘economy’ of social emotions: A connection with AI sentiment analysis
000131666 260__ $$c2023
000131666 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131666 5203_ $$aBy approaching the concept of Natural Intelligence a new path may be open in a variety of theoretical and applied problems on social emotions. There is no doubt that intelligence emerges as a biological/informational phenomenon, although paradoxically a consistent elaboration of that concept has been missing. Regarding emotions, they have been keeping an unclear status, being often restricted to the anthropological or to ethological approaches closer to the behaviorist paradigm. Herein we propose a different track, centered in the life cycle advancement. The life cycle in its integrity becomes the nucleus of natural intelligence's informational processes, including the consistent expression of emotions along the maximization of fitness occasions. In human societies, the overall ‘economy’ of social emotions is manifest, showing up in the conspicuous interplay between bonding processes and different classes of social emotions. The essential link between natural intelligence, emotions, and the life cycle of individuals may harmonize with current progresses – and blind spots – of artificial intelligence fields such as ‘sentiment analysis.’
000131666 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-20R$$9info:eu-repo/grantAgreement/ES/DGA/LMP35_21$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-139863OB-I00
000131666 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000131666 590__ $$a2.0$$b2023
000131666 592__ $$a0.41$$b2023
000131666 591__ $$aBIOLOGY$$b49 / 109 = 0.45$$c2023$$dQ2$$eT2
000131666 593__ $$aApplied Mathematics$$c2023$$dQ3
000131666 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b34 / 66 = 0.515$$c2023$$dQ3$$eT2
000131666 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2023$$dQ3
000131666 593__ $$aStatistics and Probability$$c2023$$dQ3
000131666 593__ $$aModeling and Simulation$$c2023$$dQ3
000131666 593__ $$aMedicine (miscellaneous)$$c2023$$dQ3
000131666 594__ $$a3.7$$b2023
000131666 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131666 700__ $$aMarijuán, Pedro C.
000131666 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000131666 773__ $$g233 (2023), 105039 [9 pp.]$$pBiosystems$$tBioSystems$$x0303-2647
000131666 8564_ $$s2175352$$uhttps://zaguan.unizar.es/record/131666/files/texto_completo.pdf$$yVersión publicada
000131666 8564_ $$s2641553$$uhttps://zaguan.unizar.es/record/131666/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131666 909CO $$ooai:zaguan.unizar.es:131666$$particulos$$pdriver
000131666 951__ $$a2024-11-22-12:09:51
000131666 980__ $$aARTICLE