Shypd.aiThe largest open index of AI toolsAgents.jl is an open-source agent-based modeling framework in Julia that allows for the simulation of complex systems. It offers extensive interfaces for agent actions and supports both discrete-time and continuous-time simulations.
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Agents.jl is a pure Julia general-purpose framework designed for agent-based modeling (ABM), a computational simulation methodology where autonomous agents interact with their environment and other agents based on predefined rules. Key highlights include its simplicity, extensive interface with thousands of possible agent actions, and high performance, often surpassing established competitors. The framework supports simulations on Open Street Maps and allows for both traditional discrete-time ABM simulations and continuous-time event queue-based ABM simulations. It also provides native integration with Reinforcement Learning (RL) for advanced applications. Agents.jl is part of JuliaDynamics, an organization focused on creating high-quality scientific software.
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