Causal Hypotheses from the Analysis of Obscure Systems (CHAOS)

Abstract

CHAOS is a novel and revolutionary approach for scientific discovery whereby causal and associative hypotheses are automatically generated from an analytics layer and models are refined using real-time experimental results. CHAOS analytics automatically identify stable regions of system operation across temporal and physical scales.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2021
Accession Number
AD1173796

Entities

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  • Elissa L. Rupley
  • Jedediah M. Singer
  • Mohammed Eslami

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  • Air Force
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  • Parallel and Distributed Computing.
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