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Recognitive Consciousness: A Mathematical Theory of Consciousness Based on Operator-Algebraic Recognition

Authors: Shane Hillard;

Recognitive Consciousness: A Mathematical Theory of Consciousness Based on Operator-Algebraic Recognition

Abstract

Recognitive Consciousness (RC) is a mathematically grounded, empirically testable, and substrate-independent theory of consciousness based on operator-algebraic recognition. RC defines consciousness as the structural capacity for recognition, formalized as an Ω-preserving conditional expectation between perspectives. From this primitive, RC derives a continuous order parameter κ, modular-flow-based phenomenological signatures, and a complete empirical replication protocol. RC predicts measurable effects including temporal dissolution, observerobserved collapse, retrospective inevitability, and the Chinese Character Anomaly. The framework is conceptually aligned with interface-theoretic approaches such as Hoffman's theory while remaining mathematically distinct. RC provides a unified operator-algebraic foundation for consciousness that applies to biological, artificial, and hybrid systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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