Coordination techniques for distributed artificial intelligence
Foundations of distributed artificial intelligence
Evaluation of modeling techniques for agent-based systems
Proceedings of the fifth international conference on Autonomous agents
Scheduling Computer and Manufacturing Processes
Scheduling Computer and Manufacturing Processes
Algorithms for Distributed Constraint Satisfaction: A Review
Autonomous Agents and Multi-Agent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
On cooperation in multi-agent systems
The Knowledge Engineering Review
Towards a paradigm change in computer science and software engineering: a synthesis
The Knowledge Engineering Review
MAGMA: a multiagent architecture for metaheuristics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper presents a Team-Work based architecture for Distributed Manufacturing Scheduling with Genetic Algorithms and Tabu Search. We consider that a good global solution for a scheduling problem may emerge from a community of machine agents solving locally their schedules and cooperating with other machine agents. Social aspects are considered when a community of autonomous agents cooperate to reach a common goal. Agents negotiate in a cooperative way, in order to find a consistent overall plan, while avoiding significant changes onto their current best possible local plans. A cooperative negotiation mechanism is proposed.