A mathematical model of embodied consciousness.
David Rudrauf, Daniel Bennequin, Isabela Granic, Gregory Landini, Karl Friston, Kenneth Williford
Journal of theoretical biology September 7, 2017 DOI: 10.1016/j.jtbi.2017.05.032 (opens in new tab) via PubMed
Summary
AI-generated from the abstractConsciousness is modeled as a spatial field structured by projective geometry and controlled by active inference. The Projective Consciousness Model (PCM) combines sensory evidence with prior beliefs, selecting points of view and perspectives according to preferences. Violations of expectation are encoded as free energy, and minimizing free energy drives perspective taking, switching between perception, imagination, and action. Consciousness functions as an algorithm maximizing resilience by using projective perspective taking to escape local free energy minima. The model accounts for spatial phenomenology, distinctions between perception, imagination, and action, affective processes in intentionality, bistable figure dynamics, and body swap illusions. It relates phenomenology to function, suggesting computational advantages of consciousness and generating neurophenomenological hypotheses.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Active inference Cognitive resilience Embodiment Free energy minimization Mathematical model |
| Key finding | Proposes that consciousness is structured by projective geometry and active inference, functioning as an algorithm for resilience maximization through perspective taking. |
Abstract
We introduce a mathematical model of embodied consciousness, the Projective Consciousness Model (PCM), which is based on the hypothesis that the spatial field of consciousness (FoC) is structured by a projective geometry and under the control of a process of active inference. The FoC in the PCM combines multisensory evidence with prior beliefs in memory and frames them by selecting points of view and perspectives according to preferences. The choice of projective frames governs how expectations are transformed by consciousness. Violations of expectation are encoded as free energy. Free energy minimization drives perspective taking, and controls the switch between perception, imagination and action. In the PCM, consciousness functions as an algorithm for the maximization of resilience, using projective perspective taking and imagination in order to escape local minima of free energy. The PCM can account for a variety of psychological phenomena: the characteristic spatial phenomenology of subjective experience, the distinctions and integral relationships between perception, imagination and action, the role of affective processes in intentionality, but also perceptual phenomena such as the dynamics of bistable figures and body swap illusions in virtual reality. It relates phenomenology to function, showing the computational advantages of consciousness. It suggests that changes of brain states from unconscious to conscious reflect the action of projective transformations and suggests specific neurophenomenological hypotheses about the brain, guidelines for designing artificial systems, and formal principles for psychology.