Language as an Independent Information Layer: A Conceptual Model of Communication, Cognition and Decision-Making

Abstract:Based on an analysis of the role of language in thought and communication, this article proposes a new concept for designing corporate knowledge bases. The concept integrates the probabilistic vector space of a corporate vocabulary, reflect-ing industry specifics, subject focus, terminology, and culture, with traditional ontological modeling. This combination enables the efficient extraction of knowledge from accumulated corporate documents while strictly accounting for specific business processes. Consequently, this concept bridges statistical and semantic (cause-and-effect) methodologies. Furthermore, analyzing the projec-tions of probabilistic spaces and causal relationships can help identify bottlenecks in business logic. As a dynamic system, language functions as a separate, inde-pendent layer within the overall information architecture. Introducing a dynamic component into the probabilistic space of word distribution allows it to be mod-eled as a multidimensional solution space for various problem formulations. In this context, input data defining the problem conditions serve as control parame-ters for dynamic transformations.

11 pages, 1 figure. Accepted for publication in the proceedigns of ISBM 2026 (Springer LNNS)

Computation and Language (cs.CL); Computational Engineering, Finance, and Science (cs.CE); Computers and Society (cs.CY); Machine Learning (cs.LG)

arXiv:2609.32556 [cs.CL]

(or arXiv:2609.32556v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2609.32556 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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