Conceptio › Archive › PhilArchive
PhilArchive open access

The Ontological Gap Between Human and Artificial Language Emergence in Light of Judgemental Philosophy and LAD Theory

Kim, Jinho
PhilArchive · Papers
Open Source ↗
philosophy
This paper investigates the essential difference between the language emergence capabilities of humans and LLMs by structurally reinterpreting Noam Chomsky’s theory of the Language Acquisition Device (LAD) through the framework of Judgemental Philosophy (JP)—namely the Pre-Judgemental Field (PJF), Resonance Drive (RD), Judgemental Triad (JT), and Resonance (R). While humans possess an innate judgemental structure that enables them to generate language from a pre-linguistic state through meaning-driven resonance, LLMs remain confined to the statistical simulation of language based on externally given data. This simulation lacks the ontological structure for the internal generation and return of meaning. The paper argues that human language emergence is not merely the activation of formal syntactic rules but the expression of an ontological resonance structure—a dynamic return of meaning that underlies the creative and context-sensitive nature of human language. In contrast, LLMs simulate structure without resonance, thereby revealing a fundamental ontological gap between symbolic calculation and meaning-bearing judgement.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 87154
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive