Work

Probability Requirement Functor Models

Year: 2026

Type: article

Abstract: A Probability Requirement Functor Model (PRF model) is a distinct model type - not a variant of a neural network and not positioned against one. It represents a prediction system as a set of named, typed probability functions, served through an aggregator and kept current by explicit, auditable updates. The spirit of the PRF is traceability. The requirements of the user and various distributions they include in the model are cleanly separated and visible. For business and scientific purposes there is no question as to what the model is doing.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23300650

Author: Harby, John

Institution: Land Sea Air Autonomy (United States)

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7221475347

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