Set‑Generative Artificial Intelligence: Virtual–Actual Duality for Causality and Logic

This paper introduces a set‑generative model of artificial intelligence in which a virtual layer produces an actual light‑cone world via functors. Causality, time, and internal logic emerge structurally, enabling reasoning within a generated topos rather than pre‑given representations.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22015412
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
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article

Set‑Generative Artificial Intelligence: Virtual–Actual Duality for Causality and Logic

Shin Tamaki
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

Set‑Generative Artificial Intelligence: Virtual–Actual Duality for Causality and Logic

Shin Tamaki
article en

Abstract

This paper introduces a set‑generative model of artificial intelligence in which a virtual layer produces an actual light‑cone world via functors. Causality, time, and internal logic emerge structurally, enabling reasoning within a generated topos rather than pre‑given representations.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 8%
Computability, Logic, AI Algorithms
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Set‑Generative Artificial Intelligence: Virtual–Actual Duality for Causality and Logic — Shin Tamaki · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS