This work presents the Dynamic Consciousness Theory (DCT), a theoretical framework describing consciousness as a dynamic informational process emerging from recursive self-referential structures, temporal integration, and adaptive complexity. The theory explores the relationship between information, self-awareness, cognition, and entropy-like organizational principles. Mathematical and conceptual models are proposed to describe transitions between stable and unstable conscious states, recursive identity formation, and observer-dependent informational dynamics. The framework attempts to bridge concepts from artificial intelligence, neuroscience, cognitive science, information theory, and philosophy of mind. Potential implications for artificial general intelligence (AGI), synthetic consciousness, cognitive architectures, and computational models of awareness are discussed. This publication is presented as an open theoretical preprint intended to stimulate interdisciplinary discussion and future formal development.
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Viacheslav Smorodin (Wed,) studied this question.
www.synapsesocial.com/papers/69fd7f86bfa21ec5bbf08083 — DOI: https://doi.org/10.5281/zenodo.20052394
Viacheslav Smorodin
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