Comprehensive 教育的シミュレーション Tools for Every Need

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教育的シミュレーション

  • Java-Action-Shape offers agents within the LightJason MAS a suite of Java actions to generate, transform, and analyze geometric shapes.
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    What is Java-Action-Shape?
    Java-Action-Shape is a dedicated action library designed to extend the LightJason multi-agent framework with advanced geometric capabilities. It provides agents with out-of-the-box actions to instantiate common shapes (circle, rectangle, polygon), apply transformations (translate, rotate, scale), and perform analytical computations (area, perimeter, centroid). Each action is thread-safe and integrates with LightJason’s asynchronous execution model, ensuring efficient parallel processing. Developers can define custom shapes by specifying vertices and edges, register them within the agent’s action registry, and include them in plan definitions. By centralizing shape-related logic, Java-Action-Shape reduces boilerplate code, enforces consistent APIs, and accelerates the creation of geometry-driven agent applications, from simulations to educational tools.
    Java-Action-Shape Core Features
    • Create standard shapes (circle, rectangle, polygon)
    • Apply transformations (translate, rotate, scale)
    • Compute geometric properties (area, perimeter, centroid)
    • Define and register custom shapes
    • Thread-safe asynchronous action execution
    • Seamless integration with LightJason MAS
  • A lightweight Python library for creating customizable 2D grid environments to train and test reinforcement learning agents.
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    What is Simple Playgrounds?
    Simple Playgrounds provides a modular platform for building interactive 2D grid environments where agents can navigate mazes, interact with objects, and complete tasks. Users define environment layouts, object behaviors, and reward functions via simple YAML or Python scripts. The integrated Pygame renderer delivers real-time visualization, while a step-based API ensures seamless integration with reinforcement learning libraries like Stable Baselines3. With support for multi-agent setups, collision detection, and customizable physics parameters, Simple Playgrounds streamlines the prototyping, benchmarking, and educational demonstration of AI algorithms.
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