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Psychopathic genes: A multi-level adaptive dynamic modelling approach
Augustinus,Femke Hendrikse,Sophie C.F. Treur,Jan
Augustinus,Femke
Hendrikse,Sophie C.F.
Treur,Jan
Abstract
This paper investigates the role of epigenetics in the dynamics of psychopathy by designing and simulating a fifth-order multi-level adaptive network model. Understanding any disorder requires a comprehensive exploration of multiple dimensions. Therefore, this research proposes a computational model that takes into account (epi)genetic, neural, cognitive, and behavioural causal influences that generate psychopathic behaviour. It illustrates the impact of epigenetic influences on the genes MAO-A, 5-HTT, and OXTR and their consequences for other internal processes with regard to psychopathy. This paper includes a review of related literature in this research domain and the design and specifics of the adaptive network model addressing psychopathic behaviour. The model is evaluated by two simulations that show the difference in behaviour between individuals that at some point in their life develop psychopathy due to environmental circumstances and those not developing it. In addition, an extension of the model demonstrates the impact of cognitive behavioural therapy on an individual with psychopathy.
Description
Date
2025-07
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Journal ISSN
Volume Title
Publisher
Springer Nature
Research Projects
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Keywords
Psychopathy, Epigenetics, Multi-level, Adaptive Dynamic Modelling
Citation
Augustinus, F, Hendrikse, S C F & Treur, J 2025, Psychopathic genes : A multi-level adaptive dynamic modelling approach. in R Silhavy & P Silhavy (eds), System design in software engineering : Proceedings of 8th computational methods in systems and software 2024. 1 edn, vol. 4, Lecture notes in networks and systems , vol. 1471, Springer Nature, pp. 477-498. https://doi.org/10.1007/978-3-031-94770-4_38