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INTEGRITY, ENTROPY, EMERGY, GAUSSIAN BUBBLES

机译:完整性,熵,紧急状态,高斯气泡

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In order to understand the “general” dynamics of systems which are obviously Hebbianrnby nature - assemblies of assemblies - it is necessary to evaluate how systems interact andrnnest. In other words, we have to recognize that process-rule examples (aka “systems”)rninteract with other “PRE”s, and that our task is essentially to discovery how a “rule”rninteracts with other examples of itself, and by doing so create “product systems” whichrnwere pre-coded in the behavior and option spaces of the components and subsequentrnassemblies.rn“Product systems” bring with them their own behavior spaces at the next meta-level, andrntherefore, what we have are a plurality of peer and meta Gaussian Bubbles, in processesrnof constant interaction and thus ordered state-changes and interaction potential changes.rnThis paper will revisit the effort to re-define and clarify characteristics of a genericrnconcept of Entropy. It shall:rn1) look at behavior markers which entropic processes have, see where they can bernreasonably applied, and project what forms they can take,rn2) examine process mechanisms that coincide with entropicegentropic behaviors ofrnswarms of gaussian bubbles, with a discussion of the Aleph-graph ... an alternativerninterpretation of emergence/autopoesis/autocatalysis,rn3) coordinate the “emergy” system of Howard Odum with the author’s own “IntegrityrnParadigm”,rn4) discuss the relationship of entropy mechanisms in regard to behaviors available inrnsystems’ option spaces -- with Evolution being the tendency of organic systems tornexpand behavior options, and so be a tendency towards complexity and improvedrncompetence in current and future environments.
机译:为了理解显然是Hebbianrnby本质的系统的“一般”动力学-程序集的装配-有必要评估系统如何交互和嵌套。换句话说,我们必须认识到流程规则示例(也称为“系统”)与其他“ PRE”交互,并且我们的任务本质上是发现“规则”如何与自身的其他示例交互,并通过因此,请创建“产品系统”,将其预先编码在组件和后续组件的行为和选项空间中。““产品系统”将它们在下一个元级别上的行为空间带入其中,因此,我们拥有多个等高斯泡和元高斯泡,它们之间存在恒定的相互作用,因此有序地发生状态变化和相互作用的势能变化。本文将重新研究重新定义和阐明熵的一般概念的工作。它应:rn1)研究熵过程具有的行为标志,查看它们可以合理地应用在何处,并计划它们可以采取的形式,rn2)检查与高斯气泡群的熵/各向异性行为相一致的过程机制,并讨论Aleph-graph ...出现/自动生成/自动催化的另一种解释,rn3)将霍华德·奥杜姆(Howard Odum)的“能值”系统与作者自己的“ IntegrityrnParadigm”,rn4)讨论了熵机制与系统中可用行为之间的关系。选项空间-演化是有机系统破坏行为选择的趋势,因此也趋向于在当前和未来环境中变得复杂并提高竞争力。

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