From metaphor to computation: Constructing the potential landscape for multivariate psychological formal models
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2021-06-29
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en
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Abstract
For psychological formal models, the stability of different phases is an important
property for understanding individual differences and change processes. Many researchers use
landscapes as a metaphor to illustrate the concept of stability, while the corresponding
quantitative method is still lacking. In this work, we propose a method to construct the potential
landscape for multivariate psychological models. This method is based on the generalized
potential function defined by Wang et al. (2008) and Monte Carlo simulation. We define three
types of stability, namely absolute stability, relative stability, and geometric stability, for
psychological phases based on potential landscapes. With the panic disorder model (Robinaugh
et al., 2019) as an example, we demonstrate how the method can be used to quantify the stability
of states and phases, show the influence of model parameters, and guide model modifications.
An R package, simlandr, was developed to provide an implementation of the method.
Keywords: complex dynamical systems, clinical psychology, formal theory, computational
modeling, potential landscape
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Faculteit der Sociale Wetenschappen