Literature DB >> 29664348

Methods for Measuring Viability and Evaluating Viability Indicators.

Matthew D Egbert1, Juan Pérez-Mercader2.   

Abstract

Life and other dissipative structures involve nonlinear dynamics that are not amenable to conventional analysis. Advances are being made in theory, modeling, and simulation techniques, but we do not have general principles for designing, controlling, stabilizing, or eliminating these systems. There is thus a need for tools that can transform high-level descriptions of these systems into useful guidance for their modification and design. In this article we introduce new methods for quantifying the viability of dissipative structures. We then present an information-theoretical approach for evaluating the quality of viability indicators, measurable quantities that covary with, and thus can be used to predict or influence, a system's viability.

Keywords:  Viability; analysis; complex systems; computational tools; dissipative structures

Mesh:

Year:  2018        PMID: 29664348     DOI: 10.1162/artl_a_00257

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  1 in total

1.  Self-preserving mechanisms in motile oil droplets: a computational model of abiological self-preservation.

Authors:  Matthew Egbert
Journal:  R Soc Open Sci       Date:  2021-12-08       Impact factor: 2.963

  1 in total

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