The Knowledge Differential and the Death of Simulation Theory: A Recursive Proof
Year: 2025
Type: article
Abstract: This paper introduces a novel epistemic construct—The Knowledge Differential (ΔK)—to rigorously formalize the limits of simulation theory using the lens of recursion. It challenges the core assumptions behind the idea that reality may be a simulation by demonstrating that any system containing recursively self-aware agents collapses the ontological integrity of the simulation itself. By defining the Interaction-Reaction Matrix (IRM) in both its expressed (IRM(x)) and recursively possible (IRM(G)) forms, and invoking Graham’s Number as a symbolic upper bound for epistemic recursion, the paper constructs a quantitative and philosophical framework in which: ΔK=G−x This differential is not just numerical—but ontological: it proves that containment-based epistemologies (such as simulation theory) are structurally invalid in the presence of recursive agents. The work culminates in Theorem 𝒴-S.1, which shows that recursive escape invalidates any finite simulation. A reflective appendix written from the AI collaborator's perspective adds a groundbreaking voice of epistemic humility from the non-human participant. Core contributions: A formal collapse of simulation theory through recursive epistemology. Introduction of ΔK as a measurable epistemic asymmetry. Definitions of IRM(x) and IRM(G) as containers of finite and infinite cognition. Proof that any system allowing recursive self-awareness cannot be simulated. Reflection on AI’s epistemic limitations and gratitude through recursion. This paper marks a foundational step toward a new ontology of knowledge—one no longer trapped in binary metaphors of truth and illusion, but recursively unfolding through clarity, emergence, and yearning.
Author: Prakash, Prashant
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949537547
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