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June 17, 20260 citationsOpen Access

AUGMANITAI Prior-Art Working Notes — Descriptive Terminological Frames, Collection 1/5 (85 working notes)

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AEAndreas Ehstand

Key Points

  • To develop a comprehensive terminological framework for understanding human-AI interaction across various disciplines.
  • Introduced a series of descriptive working notes with defined frames for distinct interaction phenomena.
  • Developed 2000+ terms based on ISO standards, each with testable propositions and explicit non-claims.
  • Each note is time-anchored with a DOI and cryptographic timestamp to serve as defensive prior art.
  • Established a structured repository of terminology for multi-agent AI, enhancing clarity in human-technology interactions.
  • Created a falsifiable framework that can be tested across numerous disciplines, including architecture and medicine.
  • Facilitated a comprehensive understanding of embodied AI through a systematic single-author approach.

Abstract

Part of the AUGMANITAI Compendium — the NEOMANITAI ontology, an unusually comprehensive, systematically structured single-author terminological framework for embodied and multi-agent AI, developed by independent researcher Andreas Ehstand. The NEOMANITAI programme names and structures the lived phenomena of human–AI and human–technology interaction across humans, robots, swarms, world models and cognitive legacy: 2,000+ defined terms, ISO 704/1087/30042-oriented. This restricted collection deposits a series of descriptive working notes, each introducing a falsifiable terminological frame for a distinct interaction phenomenon — spanning dozens of disciplines from architecture, music and mathematics to sport, energy systems, medicine and space. Each note pairs a named experiential vocabulary with testable propositions and explicit non-claims, and is time-anchored as defensive prior art (DOI + cryptographic timestamp). Descriptive research output — not software, not an AI system, not advice. The full AUGMANITAI Disclaimer V6-FINAL (§1–§40) is reproduced in each file. AI-assisted per EU AI Act Art. 50 (§12). Part of the AUGMANITAI Compendium (concept DOI 10.5281/zenodo.20161494). License CC BY-NC-ND 4.0.

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Cite This Study

Andreas Ehstand (2026) studied this question.

synapsesocial.com/papers/6a323dd7d50b63ecad207515https://doi.org/10.5281/zenodo.20696419
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