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Biotic Abstract Dual Automata (BiADA): A Novel Tool for Studying the Evolution of Prebiotic Order (and the Origin of Life)

机译:生物抽象双重自动机(BiADA):研究益生元有序进化(和生命起源)的新型工具

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Biotic Abstract Dual Automata (BiADA), a novel simulation concept for studying the evolution of prebiotic order, has four main attributes. (1) The energy of each form of organization is the sum of two stocks: entropy-associated energy (E_s) and free energy (E_g), with dissimilar meaning, energy conductive, and energy exchange properties; (2) E_s and E_g have user-defined absolute values and are not derived from the relative thermodynamic parameters standard entropy and standard Gibbs free energy; (3) BiADA analyzes changes in both units of transformation and units of organization; and (4) BiADA-based models analyze forward and reverse transformations separately and the brut production of forms of organization. We discuss quantitative relationships between energy, information, and order parameters proposed in BiADA-based simulations. The example we show is that of a simple system with two forms of organization. The model monitors the, energy flow and budget, the evolution of order and information capacity, and the energy cost of producing and maintaining the system's state. We show the effect of six prebiotic factors on the evolution of order and energy dissipative potential of the system. These are the initial state of the system, energy availability, the intrinsic energy conductivity, catalysis of "A to B" transformations, B autocatalysis, and the terminal heat sink. We discuss benefits of employing BiADA principles in the study of the origin of order in more complex networks.
机译:Biotic Abstract Dual Automata(BiADA)是研究益生元有序进化的一种新颖的模拟概念,具有四个主要属性。 (1)每种组织形式的能量是两种存量之和:熵相关能量(E_s)和自由能(E_g),含义不同,具有导电性和具有能量交换特性; (2)E_s和E_g具有用户定义的绝对值,并且不是从相对热力学参数标准熵和标准吉布斯自由能中得出的; (3)BiADA分析转型部门和组织部门的变化; (4)基于BiADA的模型分别分析了正向和反向转换以及组织形式的残酷生产。我们讨论了基于BiADA的仿真中提出的能量,信息和顺序参数之间的定量关系。我们显示的示例是具有两种组织形式的简单系统。该模型监视能源流和预算,订单和信息容量的演变以及生产和维护系统状态的能源成本。我们展示了六个益生元因素对系统有序和能量耗散潜力的演变的影响。这些是系统的初始状态,能量可用性,内在能量传导率,“ A到B”转换的催化,B自催化和终端散热器。我们将讨论在更复杂的网络中研究订单起源时采用BiADA原理的好处。

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