Substrate Stability Under Persistent Disagreement: Structural Constraints for Neutral Ontological Substrates
Denise M. Case

TL;DR
This paper explores the minimal structural requirements for ontologies to maintain stable reference and accountability in data systems operating under persistent disagreement, establishing a lower bound of six identity regimes.
Contribution
It introduces a neutrality framework for ontological design, proving a lower bound of six identity regimes necessary for stable reference under disagreement.
Findings
Any ontology supporting accountability under disagreement must have at least six identity regimes.
A construction with exactly six regimes suffices for stable reference without normative commitments.
The results constrain possible ontological structures for neutral, stable data representations.
Abstract
Modern data systems increasingly operate under conditions of persistent legal, political, and analytic disagreement. In such settings, interoperability cannot rely on shared interpretation, negotiated semantics, or centralized authority. Instead, representations must function as neutral substrates that preserve stable reference across incompatible extensions. This paper investigates the structural constraints imposed on ontological design by this requirement. Building on a neutrality framework that treats interpretive non-commitment and stability under extension as explicit design constraints, we ask what minimal ontological structure is forced if accountability relationships are to remain referable and comparable under disagreement. Minimality here is not mere parsimony: a reduction is admissible only if it does not reintroduce stability-critical distinctions as hidden roles, flags, or…
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Taxonomy
TopicsSemantic Web and Ontologies · Information Systems Theories and Implementation · Multi-Agent Systems and Negotiation
