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Simulation is a very effective way for testing different control architectures and improving quality of designed solutions. This paper presents a simulation of knowledge-intensive multi-agent architecture, which enables ontology-based communication and cooperation among a set of autonomous and heterogeneous units/agents in the transport domain. We tested and adjusted the behaviors and interaction...
The scheduling of production resources is one of the key features in the current competitive and dynamic manufacturing environment. The scheduling has to be flexible and able to cope with conflicts derived from the resources sharing among the production orders. We present a knowledge-based multi-agent approach combined with negotiation mechanisms for task allocation as a preliminary step towards optimized...
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