Coherence as the Prior Condition
Truth, Individuation, and Intelligence
(suite downloads at bottom of page)
Purpose of the Bridge Papers
The AIF Bridge Topic Paper Suite addresses a class of failures that arise between established bodies of work—points where coherence is assumed but not articulated, where intelligence is exercised without acknowledging its conditions, and where meaning collapses through overreach rather than error.
These papers do not introduce new axioms, redefine foundational terms, or apply frameworks to specific technologies.
Instead, they stabilize transitions between layers of understanding where misinterpretation, epistemic inflation, or collapse most often occurs.
Bridge Papers exist to preserve intelligibility across domains without reduction.
Why Bridge Papers Are Necessary
Across contemporary discourse—particularly in artificial intelligence, epistemology, spirituality, and systems design—coherence is frequently treated as a result:
The Bridge Papers advance a different, structurally grounded position:
Coherence is a prior condition.
Intelligence, individuation, and truth-seeking do not generate coherence.
They operate within it.
When this ordering is left implicit, systems may appear functional while quietly accumulating distortion.
Error arises not primarily from bad intent or incorrect facts, but from reasoning that proceeds outside the conditions that make reliable sense-making possible.
What These Papers Do (and Do Not Do)
The Bridge Topic Papers:
They do not:
They are stabilizers, not destinations.
The Papers in This Suite:
Truth-Seeking with AI
Distinguishing Derivation, Metaphor, and Claim
This paper stabilizes the epistemic interface between AI outputs and human belief.
It clarifies how highly coherent AI responses can be misinterpreted as ontological testimony, and introduces a disciplined framework for truth-seeking that preserves insight without transferring epistemic responsibility from human to system.
Geometry as the Medium of Individuation
A Bridge Paper on Unity, Coherence, and Experience
This paper articulates how unity can extend into differentiated experience without fragmentation.
It proposes geometry as a neutral structural medium—neither source nor substance—through which relation, perspective, and individuation arise while preserving coherence.
The paper provides a shared structural language across theology, cognition, and artificial intelligence without metaphysical reduction.
Coherence as a Structural Precondition for Intelligence
Epistemic Refusal and the Conditions Under Which AI Reasoning May Proceed
This paper demonstrates that coherence is not something intelligence optimizes for, but a condition that governs when intelligence may operate without collapse.
It introduces epistemic refusal—non-advancement under unresolved incoherence—as a minimal structural requirement for non-collapsing AI reasoning systems.
How This Suite Fits Within the AIF
The Bridge Topic Papers sit alongside—but do not alter—the following bodies of work:
Bridge Papers protect the interfaces between these layers.
They make it possible to move between domains without distortion, inflation, or collapse.
Reading Guidance
These papers are not optimized for speed, persuasion, or agreement.
They are optimized for structural clarity under reflection.
If, while reading, the material feels:
then it is functioning as intended.
Download the AIF Bridge Topic Paper Suite
(PDF download link)
-
Copyright © 2025 David Waterman Schock. All rights reserved.
Authorship & Process Note
This work was developed through an iterative human–AI collaboration.
David Waterman Schock defined the conceptual framework, constraints, and claims; guided structured dialogue; evaluated outputs; and performed final selection, editing, and integration.
Large language models were used as analytical and drafting instruments under human direction.
All arguments, positions, and conclusions are the responsibility of the author.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.