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Functor Models: A Structural Generalization of Function Models

Authors: Harby, John;

Functor Models: A Structural Generalization of Function Models

Abstract

This note introduces Functor Models as a structural generalization of Function Models. A Function Model is typically expressed as a morphism . A Functor Model is a functor, where the source and target categories are designed to represent canonical specifications, transformations, executable artifacts, and validated runtime changes. The functorial laws encode compositional correctness and allow results proved at the functor level to specialize automatically to the function level. Stochastic and hybrid regimes are accommodated via distribution-valued lifts, yielding a principled boundary between deterministic function models and inherently stochastic kernels. Patent Pending.

Keywords

Machine Learning, Artificial intelligence, Artificial Intelligence, Machine learning, FOS: Mathematics, Mathematics

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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
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