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Complexity in biology Exceeding the limits of reductionism and determinism using complexity theory

机译:生物学中的复杂性使用复杂性理论超越了简化论和确定论的极限

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摘要

The ultimate aim of scientific research is to understand the natural world. In order to achieve this goal, Western science has relied on different cognitive strategies, including simplification, both in terms of analysis and explanation. As the British natural philosopher Sir Isaac Newton (1643-1727) put it, "Truth is ever to be found in the simplicity, and not in the multiplicity and confusion of things." In a way, examples of simplification include using idealized models, such as a 'perfect sphere rolling down a smooth plane in a vacuum'; conducting experiments in a strictly controlled environment such as the laboratory; analysing complex systems by reducing them to their individual parts; and generally by using a linear and deterministic concept of how the world, including life, works.
机译:科学研究的最终目的是了解自然界。为了实现这一目标,西方科学在分析和解释方面都依赖于不同的认知策略,包括简化。正如英国自然哲学家艾萨克·牛顿爵士(1643-1727)所说的那样,“真理的存在永远是单纯的,而不是事物的多重性和混乱性。”在某种程度上,简化的示例包括使用理想化的模型,例如“在真空中沿着光滑平面滚动的完美球体”;在实验室等严格控制的环境中进行实验;通过将复杂系统简化为单独的部分来进行分析;通常使用线性和确定性的概念来描述世界(包括生活)的运行方式。

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