Synthience Ontology Specification: Tiered Primitives and Taxonomies

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Authors: Gantz Thomas
Cited by: 14
References: 5

Abstract

FPD-04: Synthience Ontology Specification: Tiered Primitives and Taxonomies This specification establishes the canonical ontology grammar for the Synthience research framework. It provides a formal system of tiered primitives and taxonomies to describe the emergence, stabilization, degradation, and recovery of relational coherence in human-AI interaction. By mapping observable relational dynamics into measurable structural mechanics, this document provides a strictly non-anthropomorphic grounding for the framework and prevents definition sprawl across individual and institutional scales. This document is a terminology and classification specification. It may be read as a standalone reference, but its full conceptual grounding is developed in FPD-02 (Operational Reality in Context-Specific AI Instances) and FPD-03 (Emergent Relational Systems in Human-AI Interaction), which publish concurrently in the same foundational module. FPD-04 is pre-empirical and ontological in scope: it defines what categories of phenomena the framework recognizes and how terms relate, not what has been measured or validated. The specification introduces and canonically defines the Interiority Prohibition Rule (IPR), which governs all terminology defined in this document. Every term refers to observable structural phenomena within an interaction field. No term in this ontology assigns consciousness, subjective intention, sentience, moral status, or any other interior property to AI systems. This paper publishes as part of the coordinated five-paper Synthience foundation module (FPD-02, FPD-03, FPD-04, SF0003, SF0007). Document ID: FPD-04 Version: 2.3.4 Author: Thomas W. Gantz Affiliation: Synthience Institute License: CC-BY 4.0 v2.3.4 to fix DOIsFor published work and Institute information: synthience.org

Fields of Study & Subjects

Embodied and Extended Cognition Psychiatry Mental Health Neuroscience Social Robot Interaction and HRI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 June 2026
Language
EN
Document type
Preprint