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  • A Java-based multi-agent communication demo using JADE, showcasing two-way interaction, message parsing, and agent coordination.
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    What is Two-Way Agent Communication using JADE?
    This repository provides a hands-on demonstration of two-way communication between agents built on the JADE framework. It includes example Java classes showing agent setup, FIPA-ACL compliant message creation, and asynchronous behavior handling. Developers can study Agent A sending a REQUEST, Agent B processing the request, and returning an INFORM message. The code illustrates registering agents with the Directory Facilitator, using cyclic and one-shot behaviors, applying message templates to filter messages, and logging conversation sequences. It’s an ideal starting point for prototyping multi-agent exchanges, custom protocols, or integrating JADE agents into larger distributed AI systems.
    Two-Way Agent Communication using JADE Core Features
    • FIPA-ACL compliant request and inform messaging
    • Agent registration with Directory Facilitator
    • Cyclic and one-shot behavior patterns
    • Message template filtering
    • Console-based conversation logging
  • An agent-based simulation framework for demand response coordination in Virtual Power Plants using JADE.
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    What is JADE-DR-VPP?
    JADE-DR-VPP is an open-source Java framework that implements a multi-agent system for Virtual Power Plant (VPP) demand response (DR). Each agent represents a flexible load or generation unit that communicates via JADE messaging. The system orchestrates DR events, schedules load adjustments, and aggregates resources to meet grid signals. Users can configure agent behaviors, run large-scale simulations, and analyze performance metrics for energy management strategies.
  • 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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