The Constraint Navigation Model of consciousness

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Authors: Jamie Morris
Cited by: 0

Abstract

The Constraint Navigation Theory of Consciousness proposes that conscious experience arises from the real-time navigation of constraints by a bounded biological system. Rather than treating consciousness as a mysterious substance, emergent property, or irreducible phenomenon, the framework models it as the lived experience of regulatory coordination under physical, biological, and informational limits. Within this view, the brain is understood as a constraint-navigation system that integrates internal needs, external conditions, and predictive models to guide action. Neural dynamics—particularly the interaction between constraint-encoding signals and action-selection signals—support this navigation process, while conscious experience reflects how this navigation feels from the inside. Health corresponds to flexible, well-synchronized navigation across regulatory systems; illness emerges when navigation becomes inefficient, rigid, or desynchronized. The theory is explicitly systems-based and non-metaphysical. It does not claim that consciousness alters physical reality or that new physics is required. Instead, it situates consciousness as an epistemic process embedded within established physical and biological constraints, fully compatible with neuroscience, thermodynamics, control theory, and systems biology. By reframing consciousness as navigation rather than substance or illusion, the Constraint Navigation Theory offers a unifying lens across disciplines. It connects neuroscience, psychology, medicine, and philosophy of science under a common functional principle, reframes mental and physical illness as coordination failures, and positions science itself as an extension of conscious constraint-mapping. The framework is descriptive, testable, and practical—designed not to close inquiry, but to orient it around a clear and stable center.

Fields of Study & Subjects

Philosophy and Theoretical Science Embodied and Extended Cognition Cognitive Science and Education Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Document type
Preprint