
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
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
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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