A deterministic dynamical systems approach is proposed to model the interplay among an individual's behavior, personal factors, and environmental challenges, in the framework of triadic reciprocal determinism in social cognitive theory. The equilibria of the system are numerically identified, and their stability analyzed, for seven scenarios corresponding to specific choices of the system parameters. An interpretation of the system dynamics in the neighborhood of the observed equilibria from the point of view of social cognitive theory is proposed. This approach may be beneficial in understanding human adaptation to environmental challenges such as traumatic events and significant daily stressors. Results provide the mathematical groundwork for future research that will involve numerical simulations for tuning the model parameters so as to best fit the experimental data available.

A dynamical systems approach to triadic teciprocal determinism of social cognitive theory / Lo Schiavo, M.; Prinari, B.; Saito, I.; Shoji, K.; Benight, C. C.. - In: MATHEMATICS AND COMPUTERS IN SIMULATION. - ISSN 1872-7166. - (2018), pp. 1-15. [10.1016/j.matcom.2018.10.006]

A dynamical systems approach to triadic teciprocal determinism of social cognitive theory

M. Lo Schiavo;
2018

Abstract

A deterministic dynamical systems approach is proposed to model the interplay among an individual's behavior, personal factors, and environmental challenges, in the framework of triadic reciprocal determinism in social cognitive theory. The equilibria of the system are numerically identified, and their stability analyzed, for seven scenarios corresponding to specific choices of the system parameters. An interpretation of the system dynamics in the neighborhood of the observed equilibria from the point of view of social cognitive theory is proposed. This approach may be beneficial in understanding human adaptation to environmental challenges such as traumatic events and significant daily stressors. Results provide the mathematical groundwork for future research that will involve numerical simulations for tuning the model parameters so as to best fit the experimental data available.
2018
Differential equations; Dynamical systems; Mathematical modeling; Social cognitive theory; Triadic reciprocal determinism
01 Pubblicazione su rivista::01a Articolo in rivista
A dynamical systems approach to triadic teciprocal determinism of social cognitive theory / Lo Schiavo, M.; Prinari, B.; Saito, I.; Shoji, K.; Benight, C. C.. - In: MATHEMATICS AND COMPUTERS IN SIMULATION. - ISSN 1872-7166. - (2018), pp. 1-15. [10.1016/j.matcom.2018.10.006]
File allegati a questo prodotto
File Dimensione Formato  
LoSchiavo_Dynamical_2019.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 697.51 kB
Formato Adobe PDF
697.51 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1216253
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 12
social impact