Abstract
The choice of which emotion regulation strategy to use changes depending on context, which within Psychology is referred to as ‘flexibility’. Besides that, choices of emotion regulation strategies are prone to various other factors, ranging from culture to gender, expectations of their effect, age, etc. This paper considers the phenomenon where choices of emotion regulation strategies change adaptively with age. In addition, the choices within specific age frames are driven by some kind of reward that affects in an adaptive manner the learning of a specific emotion regulation strategy. These adaptive phenomena involve plasticity or metaplasticity of different orders. They have been modeled by a fourth-order adaptive mental network model where the choice of emotion regulation strategies is motivated by reward prediction, and different age phases have their own adaptive influences. Simulation results are discussed for evaluation of the adaptive network model. The fourth-order adaptive network model presented here extends a second-order adaptive network model previously addressed in a paper at the conference COMPLEX NETWORKS 2019.
Highlights
Changes in one’s behaviour with age, in general and, in particular, the use of emotion regulation strategies is a well-established fact in today’s literature; e.g., (Carstensen et al 1999; Allen and Windsor 2019)
Researchers from cognitive sciences agree on the fact that priorities of emotion regulation strategies change with age (Zimmermann and Iwanski 2014)
According to (Underwood et al 1992; Gross and John 2003), parents motivate their children to suppress their emotions at a younger age, contrary to older age, where the individual turns to more frequent use of reappraisal because of his awareness and more attention to the positive side of matters (Masumoto et al 2016)
Summary
Changes in one’s behaviour with age, in general and, in particular, the use of emotion regulation strategies is a well-established fact in today’s literature; e.g., (Carstensen et al 1999; Allen and Windsor 2019). Besides the factors that contribute to the age-wise tendencies in the use of emotion regulation strategies, there are other factors that influence the rate of the change at a specific time point (Schultz et al 1997; Reynolds et al 2002) One of those considered here is reward (Schultz et al 1997), which influences the rate of employment frequency of specific strategy for the short term. This paper considers both these factors for development of the adaptive mental network model for age and reward driven choices of emotion regulation strategies.
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