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Preprint . 2026
License: CC BY SA
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY SA
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY SA
Data sources: Datacite
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IAVT-PUBL - Vibe-Theorizing: A Methodological Framework for AI-Assisted Theoretical Construction

IAVT_PUBL - Vibe-Theorizing : Cadre méthodologique pour la construction théorique assistée par IA
Authors: Cordier, Frédéric;

IAVT-PUBL - Vibe-Theorizing: A Methodological Framework for AI-Assisted Theoretical Construction

Abstract

Ce préprint introduit et formalise le « Vibe-Theorizing » comme cadre méthodologique de construction théorique assistée par intelligence artificielle. Il définit un processus dialogique itératif entre un chercheur humain et un système d’IA générative visant à explorer, structurer, contraindre et consolider des hypothèses dans des espaces conceptuels ouverts où la preuve formelle ou la validation empirique ne sont pas immédiatement disponibles. L’étude distingue construction théorique, preuve et validation, identifie les risques structurels tels que le biais de confirmation et la cohérence interne trompeuse, et propose une architecture méthodologique rigoureuse pour un usage responsable. Contact Scientifique :Frédéric CordierEmail: cordierfr@wanadoo.fr ou frederic.cordier@alcahest-quantique.frORCID: 0009-0001-8661-3275Project page: https://www.alcahest-quantique.fr

This preprint introduces and formalizes “Vibe-Theorizing” as a methodological framework for AI-assisted theoretical construction. It defines an iterative dialogical process between a human researcher and a generative AI system for exploring, structuring, constraining, and consolidating hypotheses in open conceptual spaces where formal proof or empirical validation is not immediately available. The paper distinguishes theoretical construction from proof and validation, identifies structural risks such as confirmation bias and misleading internal coherence, and proposes a disciplined architecture for responsible use. Scientific Contact:Frédéric CordierEmail: cordierfr@wanadoo.fr or frederic.cordier@alcahest-quantique.frORCID: 0009-0001-8661-3275Project page: https://www.alcahest-quantique.fr

Keywords

Conceptual Exploration, Vibe-Theorizing, Confirmation Bias, Epistemology, Scientific Methodology, Human-AI Interaction, Large Language Models, Internal Coherence, Open Science, Artificial Intelligence, AI-Assisted Research, Generative AI, Theoretical Construction, Research Methods, Independent Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green