Towards an automatic uncertainty compiler

Nicholas Gray, Marco de Angelis, Scott Ferson

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
33 Downloads (Pure)

Abstract

An uncertainty compiler is a tool that automatically translates original computer source code lacking explicit uncertainty quantification into code containing appropriate uncertainty representations and uncertainty propagation algorithms. It handles the specifications of input uncertainties, and inserts calls to intrusive uncertainty quantification algorithms. In theory, one could create an uncertainty compiler for any scientific programming language. The uncertainty compiler can apply intrusive uncertainty propagation methods to codes or parts of codes and, therefore, more comprehensively and flexibly address epistemic and aleatory uncertainties. This paper explores the concept and the practicalities of creating such a compiler.
Original languageEnglish
Article number108951
Number of pages17
JournalInternational Journal of Approximate Reasoning
Volume160
Early online date21 Jun 2023
DOIs
Publication statusPublished - 30 Sept 2023

Keywords

  • automatic uncertainty analysis
  • uncertainty compiler
  • probability bounds analysis

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