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A high-performance, flexible framework for building and simulating agent-based models (ABM) within the Julia ecosystem.
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Agents.jl is a cornerstone of the Julia scientific ecosystem. It offers a level of performance and composability that is difficult to achieve in Python or NetLogo. Its defensibility stems from its deep integration with the Julia scientific stack (DifferentialEquations, Makie) and its significant adoption in academic and research settings. Frontier labs have no strategic interest in general-purpose scientific ABM frameworks, which are highly domain-specific.
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