PaperPAP-2026-0012v0.1

The Probabilistic Appearance Convergence Conjecture (PACC)

Proposition paper: a system that does not take probability as a first-level primitive may, under finite information, competing candidates, resource limits, repeated update and forced choice, converge to forms that a probability model maps with low complexity. Distinguishes behavioural, representational, dynamical and attractor equivalence, and pre-registers the experiments' falsification conditions.

Research status: STABLE the current conclusions are relatively stable
Evidence level: E0 Concept only
Data basis: THEORY Theoretical reasoning only; no measurement.
Version: 0.1
Updated: 2026-09-08
Created: 2026-09-08
Domain: Model Representation
Program: PRG-2026-0001 Adaptive Epistemic Systems
Authors: Neo.K (EveMissLab)
AI collaborators: Sol (GPT-5.6, OpenAI ChatGPT)

Record

publication_type: proposition / conjecture paper
authors: Neo.K (EveMissLab)
date: 2026-09-08
source_artifact: PACC_Probability_Appearance_Convergence_Conjecture_v0.1_2026-09-08.md

Recorded fields

tags: zh-TW
pre-experimental conjecture

Relations

Source	Relation	Target	Status	ID
`PAP-2026-0012` The Probabilistic Appearance Convergence Conjecture (PACC)	`reports`	`RES-2026-0002` PACC conjecture — do non-probabilistic primitives converge to probability-like structure?	`ACTIVE`	`REL-2026-0050`
`PAP-2026-0012` The Probabilistic Appearance Convergence Conjecture (PACC)	`formalizes`	`THY-2026-0005` PACC conjecture — the four-level convergence ladder	`ACTIVE`	`REL-2026-0051`
`PAP-2026-0012` The Probabilistic Appearance Convergence Conjecture (PACC)	`packaged_as`	`ART-2026-0012` PACC conjecture paper v0.1 (UTF-8 Markdown) `artifact://evemisslab/adaptive-epistemic-systems/PACC_Probability_Appearance_Convergence_Conjecture_v0.1_2026-09-08.md`	`ACTIVE`	`REL-2026-0052`

History and provenance

Canonical URL

https://evemisslab.com/ai/papers/PAP-2026-0012/

Machine-readable

/ai/papers/PAP-2026-0012/index.json

Snapshot

AI-SNAPSHOT-v0.1-fe85b9694a45

Provenance

source: EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)
extracted_by: Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports
extracted_at: 2026-09-11
generator: tools/extract_aes/extract.py
claim_boundary: status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports