Abstract:
This paper introduces General Realness Theory (GRT), a novel and unifying framework that models the objective state of perceived information as a point within a structured, eleven-dimensional computational manifold. GRT is formulated as the logical synthesis of a recent and coherent progression of dimensional models of computation, which have systematically sought to re-embed abstract computational theory within a more physically and semantically grounded context. These antecedent frameworks, which have escalated the dimensionality of the fundamental unit of computation from zero to ten, are unified and completed by GRT’s eleven-dimensional structure. We posit that the fundamental unit of information is not a bit or symbol, but a rank-2 state tensor whose components quantify the state’s projection onto each of the eleven fundamental dimensions. This re-conceptualization recasts computation not as a sequence of logical operations, but as a fundamentally geometric process—a trajectory across the GRT manifold governed by principles analogous to those in theoretical physics. This perspective provides a new, more powerful language for analyzing long-standing problems in computer science, including the nature of computational complexity and the architectural requirements for Artificial General Intelligence (AGI). GRT is presented as a candidate foundational theory for a new science of information, one that seeks to unify the disparate fields of computability theory, artificial intelligence, and fundamental physics under a single geometric framework.
Yıldırım, E. (2025). General Realness Theory: An Eleven-Dimensional Framework for the Objective Representation of Perceived Information. Zenodo. https://doi.org/10.5281/zenodo.17046814
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