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Mathematical foundations of consciousness

机译:意识的数学基础

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We employ the Zermelo-Frankel Axioms that characterize sets as mathematical primitives. The Anti-foundation Axiom plays a significant role in our development, since among other of its features, its replacement for the Axiom of Foundation in the Zermelo-Frankel Axioms motivates Platonic interpretations. These interpretations also depend on such allied notions for sets as pictures, graphs, decorations, labelings and various mappings that we use. A syntax and semantics of operators acting on sets is developed. Such features enable construction of a theory of non-well-founded sets that we use to frame mathematical foundations of consciousness. To do this we introduce a supplementary axiomatic system that characterizes experience and consciousness as primitives. The new axioms proceed through characterization of so-called consciousness operators. The Russell operator plays a central role and is shown to be one example of a consciousness operator. Neural networks supply striking examples of non-well-founded graphs the decorations of which generate associated sets, each with a Platonic aspect. Employing our foundations, we show how the supervening of consciousness on its neural correlates in the brain enables the framing of a theory of consciousness by applying appropriate consciousness operators to the generated sets in question.
机译:我们使用Zermelo-Frankel公理将集合表征为数学原语。反基础公理在我们的发展中起着重要作用,因为除其他功能外,用Zermelo-Frankel公理代替基础公理激发了柏拉图式的解释。这些解释还依赖于诸如图片,图形,装饰,标签和我们使用的各种映射之类的集合的相关概念。开发了作用于集合的运算符的语法和语义。这些特征使我们能够构建无充分依据的理论来构筑意识的数学基础。为此,我们引入了一个补充公理系统,该系统将经验和意识表征为原始体。新的公理通过所谓的意识算子的表征来进行。罗素算子起着核心作用,被证明是意识算子的一个例子。神经网络提供了一些不完善的图表的惊人示例,这些图表的装饰会生成关联的集合,每个集合都具有柏拉图式的外观。利用我们的基础,我们展示了意识在其神经关联中的作用如何与大脑中的神经相关联,如何通过将适当的意识运算符应用于所生成的问题集来实现意识理论的框架。

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