期刊
NATURE COMMUNICATIONS
卷 2, 期 -, 页码 -出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms1496
关键词
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资金
- UK Biotechnology and Biological Sciences Research Council under the Systems Approaches to Biological Research (SABR) initiative [BB/FO05210/1]
- Centre for Integrative Systems Biology an Imperial College (CISBIC)
- Wellcome Trust
- BBSRC [BB/G007934/1, BB/F005210/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/F005210/1, BB/G007934/1] Funding Source: researchfish
Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constructing mathematical models of such phenomena have taken an indirect, quantitative approach, for example, by fitting models to a finite number of data points. Here we develop a qualitative inference framework that allows us to both reverse-engineer and design systems exhibiting these and other dynamical behaviours by directly specifying the desired characteristics of the underlying dynamical attractor. This change in perspective from quantitative to qualitative dynamics, provides fundamental and new insights into the properties of dynamical systems.
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