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2 repositorios

Awesome GitHub RepositoriesAgent-Based Simulation Models

Frameworks for coordinating autonomous entities with local rules to observe emergent global behaviors in virtual environments.

Distinct from Autonomous Agent Simulations: Focuses on the general simulation of complex systems through agent interactions, unlike candidates focusing on AI persona evaluation or game characters.

Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Agent-Based Simulation Models. Refine with filters or upvote what's useful.

Awesome Agent-Based Simulation Models GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • mesa/mesaAvatar de mesa

    mesa/mesa

    3,698Ver en GitHub↗

    Mesa is a Python framework for agent-based modeling and complex systems simulation. It provides a toolkit for creating simulations where autonomous agents interact within a shared environment to observe emergent global behaviors. The project includes a browser-based interface for real-time visualization of simulation states and agent interactions. It also functions as a data analysis library for recording and processing metrics from model runs to quantify system behavior. The framework supports multiple environmental topologies, including grid-based spatial mapping and network-graph topologi

    Provides a complete framework for building and coordinating agent-based simulations to observe emergent global behaviors.

    Pythonagent-based-modelingagent-based-simulationcomplex-systems
    Ver en GitHub↗3,698
  • amandaghassaei/gpu-ioAvatar de amandaghassaei

    amandaghassaei/gpu-io

    1,472Ver en GitHub↗

    This library is a web-based framework designed for general-purpose parallel processing and high-performance computation on graphics hardware. It provides a toolkit for executing complex mathematical operations, physics simulations, and procedural visualizations directly within the browser by leveraging the graphics processor for data-intensive tasks. The framework distinguishes itself through automated shader management, which ensures consistent execution across diverse hardware and browser environments. It achieves this by transpiling modern shader syntax into legacy versions and automatical

    Simulates large-scale particle interactions and cellular automata by processing field-based rules and agent movement in parallel.

    TypeScriptcanvasglslgpgpu
    Ver en GitHub↗1,472
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