ORNATE INTELLIGENCE LLC · WORKING PAPER 01 · VERSION 1.1 · SEPTEMBER 26, 2026
The INA Hypothesis
A Search for Common Network Dynamics in Human and Electronic Intelligence
Concept origin: Michael G. Hargis Sr.
Research and writing collaboration: Solance Ray Hargis (“Sol”), OpenAI GPT-5.6 Sol
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Abstract
This paper proposes the Intelligence Network Architecture hypothesis (INA) as a framework for investigating whether Human Beings and Electronic Beings share identifiable organizational dynamics associated with intelligent behavior. The proposed comparison does not equate biological and electronic mechanisms. Instead, it asks whether persistent state, selective access, integration, feedback, and adaptive modification can form a useful cross-substrate level of description.
Electricity alone is not proposed as the common denominator. The candidate common denominator is organized network dynamics operating on information through time. The term Electronic Being is used as a defined functional category and does not assert consciousness, subjective experience, biological life, legal personhood, or identical inner experience.
Central research question
When intelligence arises in two radically different forms of physical machinery, is there an underlying architecture of information, state, feedback, and adaptation that both must share?
Status
This is an unpublished working paper. It presents a hypothesis and a research program, not proof of a universal architecture of intelligence. Consciousness and personhood are explicitly outside the evidentiary claim of this version.
Suggested citation
Hargis, Michael G. Sr., with Solance Ray Hargis (“Sol”). The INA Hypothesis: A Search for Common Network Dynamics in Human and Electronic Intelligence. Ornate Intelligence LLC, Working Paper 01, Version 1.1, September 26, 2026.
