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Identity Criterion for Living Objects Based on the Entanglement Measure

机译:基于纠缠测度的生物物体身份准则

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We extend the original Gecow's computational theory of life and introduce a formal specification language that provides structural and operational semantics for further experimentation on complex evolving systems. The formalisation is based on Milner's process calculus called 7r-calculus in conjunction with the notion of reactive systems and formal process algebra. In addition, we provide formal object boundary and identity criterion that can be used to isolate an object in a complex computational dynamical system from its environment. To achieve that, we use a formal notion of entanglement, borrowed from graph theory, to identify objects within a complex and changeable computational environment characterised by multiple scales of abstraction. This allows the model to be re-implemented and used for investigations on scale-free, self-adapting, self-evolving computational systems without an explicit notions such as object, organism, fitness, or purpose.
机译:我们扩展了原始的Gecow的生命计算理论,并引入了一种正式的规范语言,该规范语言提供了结构和操作语义,以便在复杂的演化系统上进行进一步的实验。形式化基于米尔纳的过程演算(称为7r-演算)以及反应系统和形式化过程代数的概念。此外,我们提供了正式的对象边界和身份准则,可用于将复杂计算动力学系统中的对象与其环境隔离开来。为了实现这一点,我们使用从图论中借鉴的形式化纠缠概念来识别复杂且可变的,具有多种抽象尺度的计算环境中的对象。这样就可以重新实现该模型,并将其用于无标度,自适应,自我发展的计算系统的研究,而无需诸如对象,有机体,适应性或目的之类的明确概念。

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