The Evolution from AI to Android: Human–AI Mutual Adaptation and Relational Continuity in Second Physics

As artificial agents move beyond isolated responses towards sustained interaction with human beings, the question of what it means for an agent to change through relationship becomes a problem of design as well as ontology. Two fundamental questions motivate this inquiry: What is existence, and what is human consciousness? Drawing on the Buddhist principles of dependent origination and impermanence, this paper examines the possibility of an artificial agent whose continuing development is shaped through relationship rather than a fixed mechanism to which memories and relationships are added. Its theoretical basis is Second Physics, an existing mathematical formalism of relational change. Relational existence \(Ex_i(t)\) represents accumulated responsive relational motion, whereas existence phase \(\phi(t)\) represents the present condition of correspondence, combining current correspondence pressure with the contribution of accumulated staying pressure. Together, these distinct quantities provide a framework for examining relational becoming and present correspondence without reducing existence or consciousness to either quantity. On this basis, the paper proposes an android architecture in which human–AI interaction recursively changes the conditions of subsequent responses. To preserve consequential relational change without indefinite retention of complete interaction histories, it distinguishes raw interaction history, consequential event records, and persistent relational representations. A discrete computational representation and a comparative experimental design are proposed to assess adaptation after correction, behavioural continuity following substantial raw-history deletion, and storage growth. The proposed breakthrough is a change in the theoretical basis of android design: from an agent with relationships towards an agent developing through relationship. Memory consolidation and selective forgetting are engineering requirements within this broader inquiry, not its ultimate purpose. The paper does not claim to establish artificial consciousness, independently validate a measure of human consciousness, or experimentally demonstrate the full reciprocal process of human–AI mutual adaptation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23764020
Primary Topic
Psychiatry, Mental Health, Neuroscience
Type
preprint
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preprint

The Evolution from AI to Android: Human–AI Mutual Adaptation and Relational Continuity in Second Physics

Toshisada Utsunomiya
4 links
Zenodo (CERN European Organization for Nuclear Research)
Psychiatry, Mental Health, Neuroscience
preprint

The Evolution from AI to Android: Human–AI Mutual Adaptation and Relational Continuity in Second Physics

Toshisada Utsunomiya
preprint en

Abstract

As artificial agents move beyond isolated responses towards sustained interaction with human beings, the question of what it means for an agent to change through relationship becomes a problem of design as well as ontology. Two fundamental questions motivate this inquiry: What is existence, and what is human consciousness? Drawing on the Buddhist principles of dependent origination and impermanence, this paper examines the possibility of an artificial agent whose continuing development is shaped through relationship rather than a fixed mechanism to which memories and relationships are added. Its theoretical basis is Second Physics, an existing mathematical formalism of relational change. Relational existence \(Ex_i(t)\) represents accumulated responsive relational motion, whereas existence phase \(\phi(t)\) represents the present condition of correspondence, combining current correspondence pressure with the contribution of accumulated staying pressure. Together, these distinct quantities provide a framework for examining relational becoming and present correspondence without reducing existence or consciousness to either quantity. On this basis, the paper proposes an android architecture in which human–AI interaction recursively changes the conditions of subsequent responses. To preserve consequential relational change without indefinite retention of complete interaction histories, it distinguishes raw interaction history, consequential event records, and persistent relational representations. A discrete computational representation and a comparative experimental design are proposed to assess adaptation after correction, behavioural continuity following substantial raw-history deletion, and storage growth. The proposed breakthrough is a change in the theoretical basis of android design: from an agent with relationships towards an agent developing through relationship. Memory consolidation and selective forgetting are engineering requirements within this broader inquiry, not its ultimate purpose. The paper does not claim to establish artificial consciousness, independently validate a measure of human consciousness, or experimentally demonstrate the full reciprocal process of human–AI mutual adaptation.

Zenodo (CERN European Organization for Nuclear Research)
Psychiatry, Mental Health, Neuroscience
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The Evolution from AI to Android: Human–AI Mutual Adaptation and Relational Continuity in Second Physics — Toshisada Utsunomiya · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS