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An abstract simulation model that implements Interaction-based Evolution (IBE) using multivariate estimation-of-distribution algorithms (EDAs) to demonstrate non-random, non-Lamarckian mutation patterns.
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The project is a nascent academic implementation of a specific theoretical framework (Interaction-based Evolution). With 0 stars and 2 forks, it currently lacks any community or ecosystem. Its value lies entirely in the theoretical contribution of the paper rather than code utility. In the landscape of evolutionary computation, it competes with well-established libraries like DEAP or PyGmo, but its goal is scientific modeling rather than production-grade optimization. The defensibility is near-zero as the algorithm is an abstract model that any researcher in evolutionary computation could replicate or adapt once the paper is read. Frontier labs have zero interest in this niche biological modeling space. The primary 'moat' would be the intellectual property or the prestige of the 'IBE' theory itself, which is yet to be established in mainstream evolutionary biology.
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