Ant-based load balancing in telecommunications networks
Adaptive Behavior
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Coordinating Mutually Exclusive Resources using GPGP
Autonomous Agents and Multi-Agent Systems
Coordinated Hospital Patient Scheduling
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Environment centered analysis and design of coordination mechanisms
Environment centered analysis and design of coordination mechanisms
A soft computing approach for task contracting in multi-agent manufacturing control
Computers in Industry - Special issue: Soft computing in industrial applications
Multiagent Systems for Manufacturing Control
Multiagent Systems for Manufacturing Control
Performance evaluation of agent-based material handling systems using simulation techniques
WSC '05 Proceedings of the 37th conference on Winter simulation
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Behind the curtains at check-in desks in airports hide a very complex material handling systems, which manage to get your bag transported to the correct departure gate of your flight.The conventional control software uses a strategy primarily based on a shortest path algorithm, not taking into account dynamical changes or utilization of less packed areas of the BHS.We changed that perspective towards a decentralized multi-agent based solution by developing strongly collaborating agents. The agents replace the existing control software without modifying the layout of the BHS.In this paper we describe the BHS problem and the agent-based design. We pay special attention to the impact of the local environments of the agents, and finally give examples of implemented decision strategies.