The Recursive Reality Hypothesis

A unified theoretical model proposes that spacetime, matter, and consciousness all emerge from a deeper, non-spatiotemporal informational substrate. Drawing on digital physics and dual-aspect monism, the Recursive Reality Hypothesis (RRH) structures physical reality as nested layers emerging via informational recursion. The universe's 'dark sector' corresponds to activity within this deepest substrate, where self-organizing meta-intelligences generate lower-level physical realities by programming stable informational excitations. Human consciousness functions as a local, biologically-instantiated participant linked to a non-local field of awareness inherent to the substrate. The framework offers a unifying way to interpret quantum observer effects, fine-tuning anomalies, and transpersonal experiences, remaining open to empirical exploration through quantum information experiments and cosmological data analysis.

Study at a glance

Abstract

This paper introduces the Recursive Reality Hypothesis (RRH), a unified theoretical model proposing that spacetime, matter, and consciousness all emerge from a deeper, non-spatiotemporal informational substrate. Drawing on digital physics and dual-aspect monism, RRH posits that physical reality is structured as a series of nested layers, with each layer emerging from the one beneath it via fundamental patterns of informational recursion. A central mechanism proposed is that the universe’s 'dark sector' corresponds to activity within this deepest substrate. Here, self-organizing meta-intelligences generate lower-level physical realities by programming stable informational excitations. Human consciousness, therefore, functions as a local, biologically-instantiated participant linked to a non-local field of awareness inherent to the substrate. The framework offers a unifying way to interpret quantum observer effects, fine-tuning anomalies, and transpersonal experiences—while remaining open to empirical exploration through quantum information experiments and cosmological data analysis.