A new method is presented for quantifying viability, the likelihood of a system persisting. We then present an information-theoretical approach for evaluating the quality of viability-indicators, measurable quantities that co-vary with, and thus can be used to predict or influence a system's viability.
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© 2016 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
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