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The principle of robustness to variation in reaction rates can be exploited to check the accuracy of models, and to narrow the range of possibilities when incomplete biological knowledge gives rise to multiple plausible models.
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Even though the properties at the levels of development and physiology manifest in more complex ways, their insights can be related to the principles of robustness and modularity.
For the future, we anticipate more studies cataloguing the principles of robustness, and the effects of modularity.
The 2 variances of the fitness decreased proportionally, throughout the course of evolution, for σ > σ c, in accordance with the principle of evolution of robustness (see [ 17, 21]).
The paper deals with new trends in research, development and applications of advanced control methods and structures based on the principles of optimality, robustness and intelligence.
The principle of uncertainty conservation is embedded in such systems [18]; this principle implies the presence of robustness in the systems components due to their features and functions, and with regard to possible perturbing conditions.
Note that despite relatively low classification accuracies, our series of experiments replicated the successful decoding of sounds in early visual areas several times, demonstrating proof of principle and the robustness of our results across different subject and stimulus samples.
This Review highlights current efforts to elucidate design principles underlying the engineering objectives of robustness, precision, and scaling as they relate to the developmental control of growth and pattern formation.
It is based on the principle of design parameter sensitivity, taking into account the notion of robustness at an early phase of process design.
We will raise this assumption to a robustness principle and analyze for structural properties which support this type of robustness.
Given these rules of assembly, power law scaled networks naturally emerge from simple principles of selection, yielding protein interaction networks that retain a high-degree of robustness on short time scales and evolvability on longer evolutionary time scales.
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