IDOS Social Connection Architecture: Integration Note v0.3
Year: 2026
Type: article
Abstract: This technical report documents Version 0.3 of the IDOS Social Connection Architecture, an experimental integration of three existing IDOS modules: Dynamic Interoperability, Discovery Architecture, and Coexistence Governance. The architecture aims to support connections among heterogeneous intelligences while preserving their distinct reference frames, autonomy, decision rights, and unresolved differences. Version 0.3 demonstrates code-level integration of cross-frame information exchange, reference-frame candidate exploration, governance assessment, and feedback through subsequent observations. The integration and regression tests were conducted in synthetic environments. This work does not demonstrate autonomous emergence of relational distributions, self-renewal of exploration possibilities, or empirical social connection among independently operating human, AI, and organizational agents. The report is intended as a reproducible architectural integration reference and a foundation for future empirical research. Supplementary Technical Report (Documentation Revision 0.3.1) This version adds an eight-page detailed technical report supplementing the original IDOS Social Connection Architecture Integration Note v0.3. The supplementary report provides an architectural diagram, source-code module boundaries, cross-module interfaces, evidence flows, integration with 12CDP and CFV/MU concepts, synthetic end-to-end demonstration results, reproducibility instructions, limitations, and falsification conditions. The documented implementation remains Social Connection Architecture v0.3. The supplementary material does not introduce a new software release or claim empirical validation of autonomous relational emergence or self-renewal of exploration possibilities. This work is related to three earlier IDOS research records: MASTER_MAP v1.1, Executable Reference Architecture v1.2, and Discovery Architecture v1.0.
Author: Kubo, Atsushi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225450986