Abstract

According to the hypothesis of abiogenesis, the simplest cellular, uncials, originated from chemical compounds that already existed in nature. Unfortunately, in spite of ongoing intensive research efforts, abiogenesis owns more difficulties and hopes than advances. That is why new hypotheses try to exempt its difficulties. Particularly, successful modeling of cognizing lets us assume that uncials were designed by some cognizers of the Universe, originated in nature as elementary recurrent classifiers, then evolved to attain the power of cognizing, at least, comparable with the highest human one, allowing them to design uncials analogous to the human design of robots nowadays. In parallel, molecular studying assumes that even elementary units of matter are able to communicate through the IDs of classifiers. And since the constituents of uncials are functionally analogous to those of cognizers, while communication is vital for cognizing, it is worth trying to promote the origin of constituents of cognizers by reaching in abiogenesis and communications. Thus, to promote origination of cognizers, we decompose the nuclei of cognizers to constituents, followed by examining the potential impact of constituents of uncials and molecular recurrent classifiers to the origin of functionally analogous ones of cognizers. Then recall algorithms of formation of 1-/2-place classifiers for possible clues to their origination. Finally, address to the origin of dynamicity of the nuclei of cognizers–doers, to trace dynamicity of doers to the dynamics of a variety of cases in sciences as a footstep to more general models.

中文翻译：

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促进非细胞认知器的起源

摘要

根据自然发生的假说，最简单的细胞，uncials，起源于自然界中已经存在的化合物。不幸的是，尽管正在进行深入的研究工作，自然发生的困难和希望多于进步。这就是为什么新的假设试图免除其困难。特别是，成功的认知建模让我们假设安色尔语言是由宇宙的一些认知者设计的，起源于自然界的基本循环分类器，然后进化到获得认知能力，至少可以与人类最高水平的认知能力相媲美，使他们能够设计 uncials 类似于当今机器人的人类设计。与此同时，分子研究假设即使是物质的基本单位也能够通过分类器的 ID 进行通信。由于安西尔语的成分在功能上与认知者的成分相似，而沟通对于认知至关重要，因此值得尝试通过自然发生和沟通来促进认知者成分的起源。因此，为了促进认知器的起源，我们将认知器的核心分解为成分，然后检查安西尔语和分子循环分类器的成分对功能相似的认知器的起源的潜在影响。然后回忆 1-/2-位分类器的形成算法，寻找其起源的可能线索。最后，探讨认知者-行为者核心的动态性起源，将行为者的动态性追踪到科学中各种案例的动态性，作为更一般模型的一步。