Abstract: This thesis introduces the Substrate Cascade Framework (SCF), a comprehensive model for understanding consciousness as a recursive, scale-invariant emergence phenomenon. SCF posits that consciousness is not localized within specific biological substrates but emerges through dynamic cascades of substrate colonization, extraction of informational patterns, and recursive presentation layers. By analyzing phenomena from ant colonies to human cultural systems, the SCF elucidates how emergent consciousness structures evolve and influence lower-level substrates through contamination processes. The hypothesis proposes testable predictions involving cascade signature detection, substrate contamination effects, and extract-based learning accelerations, providing a novel experimental paradigm where consciousness studies itself through its emergent architectures.
Abhijeet Bharguv (Sun,) studied this question.
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