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📄 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.
Submitted
September 24, 2025
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.