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\u22In Space\u22 or \u22As Space\u22?: A New Model

机译:\ u22In Space \ u22或\ u22As Space \ u22 ?:新模型

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摘要

In this analysis natural systems are posed to subsystemize in a manner facilitating both structured information/energy sharing and an entropy maximization process projecting a three-dimensional, spatial, outcome. Numerical simulations were first carried out to determine whether n × n input-output matrices could, once entropymaximized, project a three-dimensional Euclidean metric. Only 4 × 4 matrices could; a small proportion passed the test. Larger proportions passed when grouped random patterns on and within two- and three-dimensional forms were tested. Topographical patterns within 31 stream basin systems in the state of Kentucky, USA, were then similarly investigated, anticipating that the spatial configuration of elevations within each basin would provide evidence of evolutionary control when interpreted as internal group relations. Twenty-eight of thirty-one of the systems pass the test unambiguously, with the remaining three approaching or reaching passage when sampling density is increased. Two measures of subsystem-level redundancies are also introduced; these show: (1) surprisingly, minimized internal redundancy levels at the four subsystems level of analysis of the stream systems (as opposed to the five or six, in contrast with the simulations), and (2) much lower average levels than those obtained in the simulations at the same dimensions, both suggesting a preferred evolutionary path under real world conditions.
机译:在这种分析中,自然系统以促进结构化信息/能量共享和投影三维空间结果的熵最大化过程的方式子系统化。首先进行数值模拟,以确定一旦熵达到最大,n×n输入-输出矩阵是否可以投影三维欧几里得度量。只有4×4矩阵可以;一小部分通过了测试。测试二维和三维形式上和之内的随机模式时,通过的比例更大。然后,对美国肯塔基州的31个流域盆地系统内的地形模式进行了类似的研究,预计当将每个盆地内的高程空间配置解释为内部群关系时,将提供进化控制的证据。 31个系统中有28个明确地通过了测试,当增加采样密度时,其余三个系统已接近或达到通过标准。还介绍了子系统级冗余的两种测量方法:这些结果表明:(1)令人惊讶的是,在流系统分析的四个子系统级别上,内部冗余级别降至最低(与模拟相反,与之相比,五个或六个),并且(2)平均级别比所获得的级别低得多在相同尺寸的仿真中,两者都提出了在现实世界条件下的首选进化路径。

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