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A Unified Formal Theory on the Logical Limits of Symbol Grounding

large-language-models › reasoning
📄 Abstract

Abstract: This paper synthesizes a series of formal proofs to construct a unified theory on the logical limits of the Symbol Grounding Problem. We demonstrate through a four-stage argument that meaning within a formal system must arise from a process that is external, dynamic, and non-algorithmic. First, we prove that any purely symbolic system, devoid of external connections, cannot internally establish a consistent foundation for meaning due to self-referential paradoxes. Second, we extend this limitation to systems with any finite, static set of pre-established meanings, proving they are inherently incomplete. Third, we demonstrate that the very "act" of connecting an internal symbol to an external meaning cannot be a product of logical inference within the system but must be an axiomatic, meta-level update. Finally, we prove that any attempt to automate this update process using a fixed, external "judgment" algorithm will inevitably construct a larger, yet equally incomplete, symbolic system. Together, these conclusions formally establish that the grounding of meaning is a necessarily open-ended, non-algorithmic process, revealing a fundamental, G\"odel-style limitation for any self-contained intelligent system.
Authors (1)
Zhangchi Liu
Submitted
September 24, 2025
arXiv Category
cs.LO
arXiv PDF

Key Contributions

This paper presents a unified formal theory on the logical limits of the Symbol Grounding Problem. It proves that meaning in a formal system requires an external, dynamic, and non-algorithmic process, demonstrating that purely symbolic or finitely defined systems are inherently incomplete.

Business Value

Provides a foundational understanding of the inherent limitations in creating artificial meaning, guiding future AI research towards more robust and potentially less brittle systems by acknowledging the need for grounding beyond pure computation.