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ARISTOTLE, COMPLEXITY, AND ECOSYSTEMS: A SPECULATIVE JOURNEY

机译:ARISTOTLE,复杂性和生态系统:专业之旅

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摘要

Aristotle provided a means for understanding natural systems in terms of four kinds of causes. Modern science has focused on the first two of these, material and efficient, roughly corresponding to the Newtonian view of objects in space (material) and processes (efficient). The laws governing transformations in this view are not themselves considered to be part of realized nature, but part of a Platonic realm analysis. Complexity can be understood in a deep sense with regard to Aristotle’s original causal structure, readmitting the second two causes, formal and final, which were eliminated from mechanistic science to make it computationally simple (Rosen, 1991). While scientists hoped in vein for several Centuries that nature itself would turn out to be computationally simple, that now appears to not be the case. Life, psychological choice, quantum phenomena, and the origin of the universe each raises questions of causal origins, which cannot logically be addressed from the mechanistic viewpoint. An understanding of formal and final cause is therefore needed to understand what is life and living. This is most apparent in regard to emerging interests in ecosystem complexity, necessitated by issues of ecosystem management that have been intractable from purely mechanistic frameworks. Ideas of deep complexity may be extended to understand ecosystem complexity in terms of natural information, including feedback of scientific information through management.
机译:亚里士多德提供了一种从四种原因来理解自然系统的方法。现代科学专注于物质和效率这两个方面中的前两个,大致对应于空间(物质)和过程(效率)的牛顿观。在这种观点下,控制转变的法律本身并不被视为已实现的自然的一部分,而是柏拉图领域分析的一部分。对于亚里士多德的原始因果结构,可以从深层次上理解复杂性,重新考虑了形式和最终的两个第二个原因,这些原因从机械科学中消除了,从而使计算变得简单(Rosen,1991)。尽管科学家们希望在几个世纪内都希望大自然本身在计算上变得简单,但现在看来情况并非如此。生命,心理选择,量子现象以及宇宙的起源都提出了因果起源的问题,而从机械的观点来看,这是无法从逻辑上解决的。因此,需要了解正式和最终的原因,以了解生活和生活。对于新兴的生态系统复杂性利益而言,这是最明显的,这是纯机械框架难以解决的生态系统管理问题所必需的。可以将深度复杂性的概念扩展为从自然信息的角度理解生态系统的复杂性,包括通过管理反馈科学信息。

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