This framework introduces a new model for mental-state dynamics, suggesting a novel approach to understand psychological variations.
This paper introduces the Ψ model, a five-dimensional state-space representation of mental states grounded in active inference. In this formulation, an individual’s psychological state is represented by a vector Ψ = (Ω, E, Π, Σ, Λ), corresponding to Order, Energy, Precision, Social Coupling, and Learning. The model is proposed as a clinically interpretable coordinate system for representing both ordinary psychological variation and psychopathology within a continuous dynamical space. By linking these dimensions to key constructs in active inference and predictive processing, the Ψ model aims to bridge phenomenological psychiatric description and computational accounts of mental-state organization and change. This conceptual framework provides a foundation for longitudinal modeling, comparative psychopathology, and computational psychiatry.
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Masayoshi Hirose (2026) studied this question.
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