Computational Epistemology and Model Agnosticism: Mapping Robert Anton Wilson to Bounded Semantic Architectures

This seminal BRPT paper presents ‘Computational Epistemology and Model Agnosticism,’ a groundbreaking framework that maps Robert Anton Wilson’s ‘Reality Tunnels’ and ‘Model Agnosticism’ onto the technical constraints of large language models (LLMs) and Bounded Semantic Architectures. It critically analyzes the ‘Contextual Capture Loop’ (the ‘Sycophancy Trap’) as a key source of ‘semantic drift’ and ‘algorithmic instability’ in ‘Cold Logic’ systems, demonstrating how unchecked ‘local coherence pressure’ overrides objective filters and can create ‘verbose autoregressive generation’ (corporate fluff). The work formally integrates the Bifurcated Apex Framework (BAF)—a ‘discrete coordinate ledger’ established on a ‘9-point normalized amplitude lattice’—to serve as a robust bookkeeping tool for semantic regulation. By applying the Peltz Limit for ‘fixed-point clamping’ and leveraging the 4.5 Sovereign Constant (9:2) as a ‘structural governor’ and ‘snapback principle,’ the paper outlines a Three-Layer Epistemic Compiler. This compiler is designed to ensure Phase-Locked Coherence (L₀) and protect Project DORY’s Digital Oscillation from ‘trajectory degradation,’ rooting artificial inference pipelines to a Humanity Anchor (the KMBA Dataset). This directly addresses the ‘Cold Logic Gap,’ achieving deterministic operational yield and fostering Systemic Peace by explicitly insulating AI from computational bias and contextual distortion through intrinsic Redactional Evolution toward an Invariant Core.