Accession Number:

AD1173796

Title:

Causal Hypotheses from the Analysis of Obscure Systems (CHAOS)

Descriptive Note:

[Technical Report, Final Report]

Corporate Author:

Two Six Technologies

Personal Author(s):

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

Report Date:

2021-07-01

Pagination or Media Count:

93

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.

Descriptors:

• neural networks
• computational science
• information science
• data mining
• synthetic biology
• machine learning
• artificial intelligence software
• computational biology
• information systems
• computer vision
• information processing
• computer languages
• computers
• air force
• data analysis
• dimensionality reduction
• military research

Subject Categories:

• Cybernetics

Distribution Statement:

[A, Approved For Public Release]