Towards a general model for psychopathology
Alessandro Fontana

TL;DR
This paper proposes a unified AI-inspired model for psychopathology based on trauma and dissociation, aiming to explain diverse mental disorders within a single framework.
Contribution
It introduces a novel holistic model of mental disorders using AI tools, emphasizing trauma and dissociation as core components, contrasting with traditional diagnostic proliferation.
Findings
Interprets five mental conditions using the model
Highlights shared genetic and environmental factors in disorders
Suggests a new psychotherapy approach for trauma
Abstract
The DSM-1 was published in 1952, contains 128 diagnostic categories, described in 132 pages. The DSM-5 appeared in 2013, contains 541 diagnostic categories, described in 947 pages. The field of psychology is characterised by a steady proliferation of diagnostic models and subcategories, that seems to be inspired by the principle of "divide and inflate". This approach is in contrast with experimental evidence, which suggests on one hand that traumas of various kind are often present in the anamnesis of patients and, on the other, that the gene variants implicated are shared across a wide range of diagnoses. In this work I propose a holistic approach, built with tools borrowed from the field of Artificial Intelligence. My model is based on two pillars. The first one is trauma, which represents the attack to the mind, is psychological in nature and has its origin in the environment. The…
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Taxonomy
TopicsPsychosomatic Disorders and Their Treatments · Mental Health and Psychiatry · Personality Disorders and Psychopathology
