Problem of Computational Objectivation of Rationality in Artificial Intellectual Agents

A. Zhelnin
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Abstract

The subject of the article is objectification of rationality in artificial intelligent agents (AIA). The author considers two complementary trends in its context. The first ‘bottom-up’ trend is associated with attempts to artify rational reasoning and action in AIA, the second ‘top-down’ one is associated with attempts to interpret human thinking and behavior in machine terms. The first one is limited by the lack of semantic content, personal coloring and full-fledged psychosomatic embodiment of computational processes in AIA. Hypertrophy of logical normative components in them leads to mechanistic rigidity. The second is generated by the expansion of digital technologies into real life, their active fusion, which gives rise to the ideology of computationalism, according to which people are computing agents. At the same time, the convergence of the ‘intellectualization’ of AIA and the ‘machinization’ of human is a false appearance, since there are fundamental ontological and epistemological limits. The main ontological limit: human rationality is based on socio-cultural and bio-adaptive layers of the existence of a human subject, and therefore cannot be principally reproduced in ontologically simple, techno-physical AIA. The main epistemological limit: human thinking cannot be formalized and computationally objectified, since a meaningful semantic core is primary in it, which bears the stamp of subjectivity, and is also strongly linked to layers of implicit personal knowledge and other components of consciousness. Among them a number of sub- and non-rational phenomena stand out (emotions, values, common sense, morality), which are maximally distanced from algorithmic averaging, but without interaction with them rationality remains essentially reduced. It is concluded that the computational representation and objectification of definite components of rationality in AIA is possible, but is not rational itself, since their artificial separation from the larger, human-sized part of rationality initiates a split in it.
人工智能主体中理性的计算客观化问题
本文的主题是人工智能主体(AIA)中理性的客观化。作者在文中考虑了两种互补的趋势。第一个“自下而上”趋势与试图在AIA中人为地进行理性推理和行动有关,第二个“自上而下”趋势与试图用机器术语解释人类的思维和行为有关。第一种是由于缺乏语义内容,个人色彩和完整的心身体现的计算过程在AIA的限制。其中逻辑规范成分的肥大导致了机械刚性。第二种是数字技术向现实生活的扩展,它们的主动融合,产生了计算主义的意识形态,根据这种意识形态,人是计算代理人。同时,AIA的“智能化”与人类的“机械化”的融合是一种错误的表象,因为存在着基本的本体论和认识论的限制。主要的本体论限制:人类理性是基于人类主体存在的社会文化和生物适应层面,因此不能在本体论上简单的、技术物理的AIA中主要复制。主要的认识论限制:人类思维不能被形式化和计算客观化,因为有意义的语义核心是主要的,它带有主体性的印记,也与隐性的个人知识和意识的其他组成部分密切相关。其中,一些次理性和非理性现象(情感、价值观、常识、道德)脱颖而出,它们与算法平均的距离最大,但如果不与它们互动,理性本质上仍然是降低的。结论是,在AIA中,理性的确定组成部分的计算表示和客观化是可能的,但不是理性本身,因为它们与更大的、人类大小的理性部分的人为分离引发了理性的分裂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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