A methodology for agent-oriented analysis and design
Proceedings of the third annual conference on Autonomous Agents
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Cooperative Multiagent Systems: A Personal View of the State of the Art
IEEE Transactions on Knowledge and Data Engineering
Mesoscopic modeling of emergent behavior – a self-organizing deliberative minority game
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
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Large-scale spatially distributed systems provide a unique and difficult control challenge because of their nonlinearity, spatialdistribution and generally high order. The control structure for these systems tend to be both discrete and distributed as well and contain discrete and continuous elements. A layered control structure interfaced with complex arrays of sensors and actuators provides a flexible supervision and control system that can deal with local and global challenges. An adaptive agent-based control structure is presented whereby local control objectives may be changed in order to achieve the global control objective. Information is shared through a global knowledge environment that promotes the distribution of ideas through reinforcement. The performance of the agent-based control approach is illustrated in a case study where the interaction front between two competing autocatalytic species is moved from one spatial configuration to another. The multi-agent control system is able to effectively explore the parameter space of the network and intelligently manipulate the network flow rates such that the desired spatial distribution of species is achieved.