Natural intelligence and the ‘economy’ of social emotions: A connection with AI sentiment analysis

Navarro, Jorge (Universidad de Zaragoza) ; Marijuán, Pedro C.

Resumen: By 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.’

Idioma: Inglés

DOI: 10.1016/j.biosystems.2023.105039

Año: 2023

Publicado en: BioSystems 233 (2023), 105039 [9 pp.]
ISSN: 0303-2647

Factor impacto JCR: 2.0 (2023)

Categ. JCR: BIOLOGY rank: 49 / 109 = 0.45 (2023) - Q2 - T2
Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 34 / 66 = 0.515 (2023) - Q3 - T2

Factor impacto CITESCORE: 3.7 - Statistics and Probability (Q1) - Modeling and Simulation (Q2) - Applied Mathematics (Q2) - Biochemistry, Genetics and Molecular Biology (all) (Q2)

Factor impacto SCIMAGO: 0.41 - Applied Mathematics (Q3) - Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q3) - Statistics and Probability (Q3) - Modeling and Simulation (Q3) - Medicine (miscellaneous) (Q3)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-20R
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP35_21
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2022-139863OB-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Economía Aplicada)