Abstract:
This paper introduces The Holisticite Framework (THF), a comprehensive architecture for
understanding natural intelligence and engineering artificial general intelligence, derived from
the axiomatic foundations of General Reality Theory (GRT). GRT posits that subjective
perception arises from the navigation of a high-dimensional, non-Euclidean information
manifold—the General Reality Manifold (GRM)—whose geometry is dynamically shaped by the
organism’s predictive and interoceptive states. We first formalize the mathematical substrate
of the GRM, a unique class of manifolds {M(Yn)} generated from first principles via a novel
axiomatic system, Yıldırım’s Geometry. We then articulate THF as an applied synthesis of these
principles, demonstrating its profound alignment with leading-edge research in artificial
intelligence. Specifically, THF provides a unifying mathematical structure for embodied
cognition, grounds predictive processing in a geometric framework of geodesic navigation,
and offers a novel, falsifiable model for artificial consciousness based on the geometric
properties of state-space trajectories. Finally, we propose a roadmap for the empirical
validation and implementation of THF through advanced neurotechnologies, including the
decoding of GRM trajectories with high-bandwidth brain-computer interfaces and the
realization of the framework’s core feedback loops using closed-loop neurostimulation. THF
thus serves as a unifying bridge, connecting the mathematics of subjective experience with
the engineering of intelligent, embodied agents.
Yıldırım, E. (2025). THE MONOGRAPH of THE HOLISTICITE FRAMEWORK. Zenodo. https://doi.org/10.5281/zenodo.17161955
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