This research project explores biological and computational techniques in mythology, extending the structuralist approach pioneered by Claude Lévi-Strauss and building upon work by Jean-Loïc le Quellec and Julien d'Huy. The research shifts from historical reconstruction toward myth generation, treating myths as dynamic, evolving constructs rather than static historical artifacts. Our methodology integrates literature analysis, expert consultation, qualitative experiments with participants, and developing the \textit{Mythologizer} -an agent-based computational simulation that models myth transmission dynamics. These computational methods effectively capture myth propagation while revealing how individual characteristics and social dynamics influence myth stability and transformation. Although still an experimental and young project, the \textit{Mythologizer} provides a framework for examining myth adaptation across cultural contexts, projecting storytelling evolutions.

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