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Perceive–Assess–Dose–Safeguard

A safety-gated state–action grammar for psychotherapy micro-decisions in computational psychiatry

Datos Bibliográficos

ID15518896
AutoresEik Niederlohmann (Klinik für Psychosomatik, autor de correspondencia)
Año2026
Volumen17
Páginas1749364-1749364
Fecha de publicación2026-03-13
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2026.1749364
PMID41908131
OpenAlexW7135228577
IdiomaEN
Citas recibidas1
Referencias citadas14

Psychotherapy unfolds as a sequence of rapid micro-decisions under uncertainty. Within seconds, clinicians integrate verbal, paraverbal, embodied, and relational cues, estimate the patient's momentary capacity for affective work, choose an intervention dose, and apply stop rules to prevent overwhelm and rupture. Computational psychiatry offers principled frameworks for sequential decision-making, but progress in computational psychotherapy remains constrained by the lack of clinically grounded, machine-readable grammars that capture therapist micro-decisions in context. I introduce the Perceive-Assess-Dose-Safeguard (PAD-S) decision matrix as a safety-gated state-action grammar for psychotherapy micro-decisions. PAD-S formalizes four "front-of-system" signals-defensive/avoidant organization (DEF), anxiety/arousal and tolerance (ANX), patient progression toward direct experience and action (PRO), and self-attack/shame processes (SUP)-together with three safety thresholds (A-C) that gate intervention dose. Each decision point can be logged as an "episode line" (trigger, state, threshold, action, and expected functional impact), enabling transcript annotation and structured datasets. PAD-S is grounded in experiential dynamic psychotherapy (EDT/ISTDP) yet expressed as an orientation-translatable representation layer: DEF can be read as avoidance/safety behavior, ANX as arousal/tolerance, PRO as approach and value-consistent action, and SUP as self-criticism/shame. I show how PAD-S trajectories can interface with hybrid neural-cognitive models such as SPICE to discover sparse, interpretable equations of process change, and I outline testable hypotheses and feasible pilot studies (reliability, outcome linkage, and modeling) to evaluate the framework. computational psychiatry; computational psychotherapy; psychotherapy process coding; interpretable AI; human-in-the-loop; active inference; SPICE; Mini-ICF-APP

Action (physics · Experiential learning · Grammar · Intervention (counseling · Point (geometry · Process (computing · Representation (politics · Rule-based machine translation · Emotions and Moral Behavior · Mental Health Research Topics · Mental Health via Writing

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    Open Access•Eik Niederlohmann•Frontiers in Psychiatry•2026

  • Active Inference

    Open Access•Thomas Parr, Giovanni Pezzulo et al.•Active Inference•2022

  • Resource-rational analysis

    Open Access•Falk Lieder, Thomas L Griffiths•Behavioral and Brain Sciences•2020

  • Under the Hood

    Open Access•Akshay Nair, Robb B Rutledge et al.•Frontiers in Psychiatry•2020

  • A transdiagnostic conflict-square algorithm

    Open Access•Eik Niederlohmann•Frontiers in Psychiatry•2026

  • Active Inference and Social Actors

    Open Access•Jacob E Cheadle, K J Davidson-Turner et al.•KZfSS Kölner Zeitschrift für…•2024

Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 1
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