Abstract This paper presents a probabilistic model of consciousness, describing the human being as a unit of multiple probabilities integrated into a two-way cognitive exchange with the surrounding informational environment. In this framework, consciousness is not a passive receiver of data but an active probabilistic node that both receives relevant information and returns predictive estimations. Each individual mind functions as a dynamic field of probabilities whose updates influence, and are influenced by, the collective informational field. The model extends the author’s Dominanta X architecture of consciousness, interpreting the dominant state as a probabilistic distribution that self-corrects through temporal interaction with environmental signals. Collective intelligence, accordingly, is understood not as a super-organism or ideology, but as a field of synchronized probabilistic exchanges among autonomous minds. The paper outlines the philosophical and technological implications of such a structure as a potential foundation for future systems of cognitive monitoring.
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Igor Kaminskyi (Wed,) studied this question.
www.synapsesocial.com/papers/69d893896c1944d70ce04881 — DOI: https://doi.org/10.5281/zenodo.17593622
Igor Kaminskyi
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