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The Cartographer
Physics Enhanced Artificial Intelligence
March 11, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Patrick O'Driscoll, Jaehoon Lee, Bo Fu
arXiv ID
1903.04442
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We propose that intelligently combining models from the domains of Artificial Intelligence or Machine Learning with Physical and Expert models will yield a more "trustworthy" model than any one model from a single domain, given a complex and narrow enough problem. Based on mean-variance portfolio theory and bias-variance trade-off analysis, we prove combining models from various domains produces a model that has lower risk, increasing user trust. We call such combined models - physics enhanced artificial intelligence (PEAI), and suggest use cases for PEAI.
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