Hard problem of consciousness:Consciousness — A Non-Transformational Detecting Substrate
Zenodo (CERN European Organization for Nuclear Research) August 3, 2026 DOI: 10.5281/zenodo.21780397 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Philosophy of mind |
| Key points | Argues that consciousness should be understood as a non-transformational detecting substrate that detects experiential value, distinct from computational intelligence and awareness. Proposes a formal mathematical architecture using a projection operator in a Hilbert space, offering a falsifiable structural model rather than a complete solution to the hard problem. |
Abstract
The hard problem of consciousness remains one of the most fundamental unresolved questions in the science and philosophy of mind: why do physical and computational processes give rise to subjective experience? This paper presents the Consciousness Intelligence Awareness (CIA) Framework, introducing consciousness as a non-transformational detecting substrate whose sole function is to detect experiential value rather than compute, transform, or represent information. The framework distinguishes consciousness from computational intelligence and awareness, treating these as separate but complementary primitives. A formal mathematical architecture is developed in which consciousness is represented as a projection operator acting on an experiential subspace within a composite Hilbert space. The operator is derived from principles of information geometry and operator algebra, providing a structurally consistent and falsifiable theoretical model rather than an assertion. The framework is critically compared with leading theories of consciousness, including Integrated Information Theory, Global Workspace Theory, Predictive Processing, the Free Energy Principle, Panpsychism, and Advaita Vedanta. Rather than claiming to solve the hard problem completely, this work proposes a precise structural account that separates detection from computation, establishes explicit boundary conditions for subjective experience, and offers a foundation for future empirical and theoretical investigation into consciousness.