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.
Java JADE Multi-Agent System Demo Core Features
Agent creation and registration with AMS and DF
ACL-based inter-agent messaging
Support for cyclic, one-shot, and FSM behaviors
Contract net negotiation protocol
GUI container for monitoring agents
Example buyer-seller and task allocation scenarios
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