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Abstract
In this paper, we address reports of “selfless” experiences from the perspective of active inference and predictive processing. Our argument builds upon grounding self-modelling in active inference as action planning and precision control within deep generative models – thus establishing a link between computational mechanisms and phenomenal selfhood. We propose that “selfless” experiences can be interpreted as cases in which normally congruent processes of computational and phenomenal self-modelling diverge in an otherwise conscious system. We discuss two potential mechanisms – within the Bayesian mechanics of active inference – that could lead to such a divergence by attenuating the experience of selfhood: “self-flattening” via reduction in the depth of active inference and “self-attenuation” via reduction of the expected precision of self-evidence.
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DOI 10.33735/phimisci.2020.i.35
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References found in this work BETA

The Principles of Psychology.William James - 1890 - Dover Publications.
The Predictive Mind.Jakob Hohwy - 2013 - Oxford University Press UK.

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Citations of this work BETA

Minimal Phenomenal Experience.Thomas Metzinger - 2020 - Philosophy and the Mind Sciences 1 (I):1-44.
Dissolving the Self.George Deane - 2020 - Philosophy and the Mind Sciences 1 (I):1-27.
Cotard Syndrome, Self-Awareness, and I-Concepts.Rocco Joseph Gennaro - 2020 - Philosophy and the Mind Sciences 1 (1):1-20.

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