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  • AI-Agents-Multi-Agent-Systems-and-Distributed-AI-Coordination

    Open-source framework with multi-agent system modules and distributed AI coordination algorithms for consensus, negotiation, and collaboration.
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    What is AI-Agents-Multi-Agent-Systems-and-Distributed-AI-Coordination?
    This repository aggregates a comprehensive collection of multi-agent system components and distributed AI coordination techniques. It provides implementations of consensus algorithms, contract net negotiation protocols, auction-based task allocation, coalition formation strategies, and inter-agent communication frameworks. Users can leverage built-in simulation environments to model and test agent behaviors under varied network topologies, latency scenarios, and failure modes. The modular design allows developers and researchers to integrate, extend, or customize individual coordination modules for applications in robotics swarms, IoT device collaboration, smart grids, and distributed decision-making systems.
    AI-Agents-Multi-Agent-Systems-and-Distributed-AI-Coordination Core Features
    • Consensus algorithm implementations
    • Contract net and auction negotiation protocols
    • Task allocation and coalition formation
    • Inter-agent communication framework
    • Built-in simulation environments

  • Java JADE Multi-Agent System Demo

    A Java-based multi-agent system demonstration using JADE framework to model agent interactions, negotiations, and task coordination.
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    What is Java JADE Multi-Agent System Demo?
    The project uses the JADE (Java Agent DEvelopment) framework to build a multi-agent environment. It defines agents that register with the platform’s AMS and DF, exchange ACL messages, and execute behaviors like cyclic, one-shot, and FSM. Example scenarios include buyer-seller negotiations, contract net protocols, and task allocation. A GUI agent container helps monitor runtime agent states and message flows.
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