There is a renewed interest for complex adaptive system approaches that can account for the inherently complex and dynamic nature of psychopathology. Yet, a theory of psychopathology grounded in the principles of complex adaptive systems is lacking. Here, we present such a theory based on in the notion of adaptive dynamic patterns. We postulate that all observable phenomena of the body and mind are dynamic patterns that emerge from an open complex adaptive system constituted by interdependent biopsychosocial processes located in the individual and its environment, which operate on multiple timescales. Psychopathology is a self-organizing emergent property of a system, meaning that psychopathology arises solely from the interdependencies in the system and is not prescribed by an internal or external ‘blueprint’. While dynamic patterns of psychopathology are highly idiographic in content due to continuous individual-environment transactions, we claim that their change over time can be described by general principles of pattern formation in complex adaptive systems. Our theory thus integrates idiographic and nomothetic science. A discussion of implications for classification, intervention and public health concludes the paper.
We are grateful to Jerillyn Kent for her thorough and thoughtful comments during the editorial process, which have been extremely helpful for improving the final article. We thank Nina de Boer, Olga de Bont, Anna Dapprich and Marieke Glazenburg for their feedback on previous versions of this article. We thank Ralf Cox for producing Figure 1, Jingmeng Cui for co-producing Figure 2, and Nastasia Griffioen for producing Figure 3. The authors report no conflict of interest.
In light of psychology’s ‘theory crisis’, multiple authors have recently argued that adopting the formalization of theories and/or formal modelling is a necessary or useful step towards stronger psychological theory. In this article, I instead argue that formal modelling cannot solve the core problem the psychological ‘theory crisis’ refers to, which are the currently high degrees of contrastive and holistic underdetermination of our theories by our data. I do so by first introducing underdetermination as an explanatory framework for determining the evidential import of research findings for theories, and showing how both broader theoretical considerations and informal assumptions are key to this process. Then, I derive the aforementioned core problem from current theory crisis literature and tentatively explore its possible solutions. Lastly, I show that formal modelling is neither a necessary nor sufficient solution for either contrastive or holistic underdetermination, and that its uncritical adoption might instead worsen the crisis.
Borsboom et al. (2019) argue that the network theory of mental disorders, if correct, blocks the biological reduction of mental disorders. This is mainly argued through a partial reformulation of network theory which combines multiple realizability of symptoms with a realist interpretation of folk psychological explanations. In this article, I argue that (a) the latter is problematic and that (b) the combination of these arguments voids the previous predictive and explanatory power of network theory. I then present a novel way in which network theory could avoid biological reductionism by considering folk psychology not as a fact, but as a structuring cause of causal connections between intentional state symptoms, together with culture and time period. Drawing from this, a novel principle for network theory is proposed, which allows it to retain force against reductionism while also retaining predictive and explanatory power.
Though we concur with the conclusions of the target article by Arocha (2021), in this commentary, we argue that his critiques of psychology’s standard research practices are not grounded in his scientific realism but in a (tacit) realistic theory about human behavioral variability. Then, we argue that both this tacit theory and his recommendations are already encompassed by the complex systems approach to psychology. We conclude that, taken together, these arguments strengthen Arocha’s conclusion and recommendations.
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