Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Functional Equivalence Class Hypothesis (FECH): A Meta-Theoretical Statement

Authors: Ahmadov, Murad;

Functional Equivalence Class Hypothesis (FECH): A Meta-Theoretical Statement

Abstract

The Functional Equivalence Class Hypothesis (FECH) proposes a domain-agnostic framework in which function—rather than surface implementation—serves as the primary ontological unit for reasoning about conceptual systems and models. FECH articulates (1) a compact ontology of functional primitives and (2) principled criteria for grouping distinct implementations into functional equivalence classes (FECs) based on observable invariants, including input–output relations, compositional behavior, and interaction profiles. It further characterizes canonical transformation and embedding relations that map members of a given FEC to one another while preserving these invariants. Positioned explicitly at the meta-theoretical level, this statement emphasizes structural, operational, and mapping invariants that support robust transfer, modular composition, and defensible claims of conceptual equivalence across representational substrates. FECH also highlights inherent limits of identifiability: multiple internal models may generate indistinguishable observable behavior, constraining reliable inference about internal structure from external performance alone. Accordingly, formal identifiability results, proofs, and domain-specific operationalizations are intentionally deferred to subsequent publications. This preprint establishes authorship and priority for the FECH conceptual framework while preserving flexibility for downstream formalizations, metrics, and empirical instantiations.

Keywords

equivalence classes, representational substrate, invariants, functional equivalence, meta-theory, identifiability

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!