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A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing
- Source :
- Computational Psychiatry, Vol 2, Pp 92-140 (2018), Computational Psychiatry (Cambridge, Mass.)
- Publication Year :
- 2018
- Publisher :
- The MIT Press, 2018.
-
Abstract
- This article proposes a formal model that integrates cognitive and psychodynamic psychotherapeutic models of psychopathy to show how two major psychopathic traits called lacks remorse and self-aggrandizing can be understood as a form of abnormal Bayesian inference about the self. This model draws on the predictive coding (i.e., active inference) framework, a neurobiologically plausible explanatory framework for message passing in the brain that is formalized in terms of hierarchical Bayesian inference. In summary, this model proposes that these two cardinal psychopathic traits reflect entrenched maladaptive Bayesian inferences about the self, which defend against the experience of deep-seated, self-related negative emotions, specifically shame and worthlessness. Support for the model in extant research on the neurobiology of psychopathy and quantitative simulations are provided. Finally, we offer a preliminary overview of a novel treatment for psychopathy that rests on our Bayesian formulation.
- Subjects :
- lcsh:RC435-571
lcsh:Consciousness. Cognition
lcsh:Computer applications to medicine. Medical informatics
lcsh:BF309-499
psychopathy
psychopathic personality disorder
free-energy
antisocial personality disorder
active inference
lcsh:Psychiatry
Bayesian brain
lcsh:R858-859.7
personality disorders
predictive coding
Research Articles
Subjects
Details
- Language :
- English
- ISSN :
- 23796227
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Computational Psychiatry
- Accession number :
- edsair.pmid.dedup....f2a5d6aba52697daf6f832dd8f5db1c2