ECOIN: A Non-Prescriptive Framework for Observing Condition-Driven Behavior Across Social and Technological Systems

ECOIN presents a descriptive, non-prescriptive framework for observing how ideas, actions, and documents circulate under condition-driven environments. Building on an analogy with large language models (LLMs), ECOIN frames human and institutional behavior as emerging from contextual inputs, prior data, reinforcement signals, constraints, and implicit safety boundaries rather than from individual intent alone. It proposes no policies, recommendations, or governance measures and assigns no agency or responsibility to AI systems. Version of Record (English)Kimura, H. (2026). ECOIN: A Non-Prescriptive Framework for Observing Condition-Driven Behavior Across Social and Technological Systems (v0.1). Zenodo. https://doi.org/10.5281/zenodo.18277272 Arabic version available at:Kimura, H. (2026). النسخة العربية – غير ملزمة وغير معيارية (v0.1). Zenodo. https://doi.org/10.5281/zenodo.18277376 French version available at:Kimura, H. (2026). Version française – Non contraignante / Non normative (v0.1). Zenodo. https://doi.org/10.5281/zenodo.18277553 The English version is the version of record. Official parallel versions are available in French and Arabic for accessibility and institutional reference.