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arXiv cs.AI· Maxim Osovsky (Adam University, Bishkek, Kyrgyzstan)·· 12 小时前AI 评分18

面向强语言 ASI 的五层沟通架构:从刻意构建的活动世界系统表征到对话

From Deliberately Constructed Systemic Representations of the World of Activity to Dialogue: A Five-Level Communication Architecture for Strong Language-Based ASI

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论文提出一种面向参与思维与活动的 ASI 的五层消息构建与理解架构,区分活动世界的系统表征、从中切出的具体情境、情境的叙事描述、消息的完整含义与文本五个层级。作者主张语言模型的上下文本身无法呈现话语形成的基础,这些基础由预先习得的图式和系统表征确立,上下文与训练权重本身都不能证明其存在。

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Authors:Maxim Osovsky (Adam University, Bishkek, Kyrgyzstan)

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Abstract:This paper proposes a five-level organization of message formation and understanding within thinking and activity in which ASI participates. Its central thesis is that a language model's context is fundamentally incapable of presenting the foundations of utterance formation for examination and verification. These foundations are established in advance by acquired schemas, systemic representations of the world of activity, and connections accepted as true within them. Neither context nor trained LLM weights, in themselves, attest to the presence of deliberately constructed systemic representations. The five levels distinguish systemic representations of the world of activity, a particular situation cut out from those representations, its narrative description, the full sense of a message, and text. A situation's schema-model is not identical to a story about it. A recipient reconstructs the full sense from an abbreviated text through jointly constructed and agreed-upon representations and joint activity. Reverse work proceeds from the full sense through an extended description and the situation's schema-model to the reconstruction of systemic foundations. The theoretical foundations draw on the systems methodology of G. P. Shchedrovitskiy, the structural differential of A. Korzybski, and the Meaning-Text theory of I. A. Mel'chuk. The contribution is a specific systemic-activity organization of content for examining and adjusting message foundations and controlling the consequences of their transformation. Further research concerns large graphical models of activity on reconstructible systemic foundations, distinct from text generation from context.
Comments: 36 pages, 1 figure
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.32869 [cs.AI]
  (or arXiv:2610.32869v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2610.32869

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Maxim Osovsky [view email]
[v1] Fri, 23 Oct 2026 16:41:54 UTC (2,081 KB)

来源:arXiv cs.AI · arxiv.org