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[定量生物学] 最大熵法的三元概念结构 进化 [推广有奖]

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大多数88 在职认证  发表于 2022-3-4 10:55:00 来自手机 |AI写论文

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摘要翻译:
进化论中的许多问题都是用二元的术语来描述的,如生物与环境的两极对立。我们认为,三元概念结构为分析进化作为一个物理过程的信息生成作用提供了另一种视角,并提出了一种新的图解方法。皮尔士的自然哲学深受达尔文理论和热力学的影响。因此,我们阐述了一种新的综合,它将他的符号理论和现代最大熵进化方法结合在一起。根据最近对Peircean半体的自然化的贡献,我们证明三元结构涉及三种不同因果关系的结合,有效的,形式的和最终的。我们将此应用于Ulanowicz对作为生命原始模式的自催化循环的分析。这为热力学的符号学观点铺平了道路,这种观点建立在这样一个观念上,即皮尔塞解释是在自然选择下进化的物理推理装置的系统。在这种观点中,最大熵、最大功率和最大熵产生的原理共同作用,推动了信息携带结构的出现,这些结构同时使信息容量和能量流的梯度最大化,因此,与Schroedinger的开创性贡献相反,进化过程最终被视为第二定律的物理表达。
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英文标题:
《Triadic Conceptual Structure of the Maximum Entropy Approach to
  Evolution》
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作者:
Carsten Herrmann-Pillath and Stanley N. Salthe
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最新提交年份:
2010
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分类信息:

一级分类:Physics        物理学
二级分类:Adaptation and Self-Organizing Systems        自适应和自组织系统
分类描述:Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应,自组织系统,统计物理,波动系统,随机过程,相互作用粒子系统,机器学习
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一级分类:Physics        物理学
二级分类:Physics and Society        物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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一级分类:Quantitative Biology        数量生物学
二级分类:Other Quantitative Biology        其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
--

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英文摘要:
  Many problems in evolutionary theory are cast in dyadic terms, such as the polar oppositions of organism and environment. We argue that a triadic conceptual structure offers an alternative perspective under which the information generating role of evolution as a physical process can be analyzed, and propose a new diagrammatic approach. Peirce's natural philosophy was deeply influenced by his reception of both Darwin's theory and thermodynamics. Thus, we elaborate on a new synthesis which puts together his theory of signs and modern Maximum Entropy approaches to evolution. Following recent contributions to the naturalization of Peircean semiosis, we show that triadic structures involve the conjunction of three different kinds of causality, efficient, formal and final. We apply this on Ulanowicz's analysis of autocatalytic cycles as primordial patterns of life. This paves the way for a semiotic view of thermodynamics which is built on the idea that Peircean interpretants are systems of physical inference devices evolving under natural selection. In this view, the principles of Maximum Entropy, Maximum Power, and Maximum Entropy Production work together to drive the emergence of information carrying structures, which at the same time maximize information capacity as well as the gradients of energy flows, such that ultimately, contrary to Schroedinger's seminal contribution, the evolutionary process is seen to be a physical expression of the Second Law.
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PDF链接:
https://arxiv.org/pdf/1006.5505
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关键词:最大熵 Quantitative Contribution Evolutionary QUANTITATIV Peircean 两极 分析 推动 together

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