摘要翻译:
我们根据香农信息论和广义昂萨格关系的统计物理原理,提出了一个认知表观遗传系统的模型。特别关注率失真函数的概念,并从计算热力学的另一个方向,即与物理系统的自由能密度的基本同源性。动态框架的一个统一方面涉及一个群组和一个群组图谱的概念。从一个随机微分方程出发,我们假定了一个表观遗传系统的多维Ito过程,从这个过程中,随机流可以渗透到这个图谱的各个部分。
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英文标题:
《Rate distortion coevolutionary dynamics and the flow nature of cognitive
epigenetic systems》
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作者:
James F. Glazebrook, Rodrick Wallace
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最新提交年份:
2011
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分类信息:
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:
We outline a model for a cognitive epigenetic system based on elements of the Shannon theory of information and the statistical physics of the generalized Onsager relations. Particular attention is paid to the concept of the rate distortion function and from another direction as motivated by the thermodynamics of computing, the fundamental homology with the free energy density of a physical system. A unifying aspect of the dynamic framework involves the concept of a groupoid and of a groupoid atlas. From a stochastic differential equation we postulate a multidimensional Ito process for an epigenetic system from which a stochastic flow may permeate through components of this atlas.
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PDF链接:
https://arxiv.org/pdf/1101.4984