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マイクロコントローラ統合

  • Lightweight BDI framework enabling embedded systems to run autonomous belief-desire-intention agents in real time.
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    What is Embedded BDI?
    Embedded BDI provides a full BDI lifecycle engine: it models an agent’s beliefs about its environment, manages evolving desires or goals, selects intentions from a library of plans, and executes behaviors in real time. The framework includes modules for belief base storage, plan library definition, event triggering, and concurrency control tailored for memory-limited microcontrollers. With a simple API, developers annotate beliefs, specify desires, and implement plans in code. Its scheduler handles priority-based intention execution and integrates with hardware interfaces for sensors, actuators, and network communication, making it ideal for autonomous IoT devices, mobile robots, and industrial controllers.
    Embedded BDI Core Features
    • Belief Base Management
    • Goal and Desire Handling
    • Plan Library and Intention Selection
    • Event-driven Execution Engine
    • Real-time Scheduling
    • Concurrency and Resource Control
    • Sensor and Actuator Integration API
    Embedded BDI Pro & Cons

    The Cons

    No explicit information on user-friendly interfaces or tool integrations.
    Limited information on community size or adoption in industry applications.
    Lacks commercial support or pricing details suggesting it may require advanced technical expertise.

    The Pros

    Open source under GPL-3.0 license, ensuring transparency and community contributions.
    Based on established Jason interpreter, enhancing reliability and functionality.
    Comprehensive developer resources including API documentation, unit tests, and CI support.
    Supports programming intelligent agents using the widely recognized BDI model.
    Specifically designed for embedded systems, enabling use in hardware-constrained environments.
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