Coo-AgentSpeak: Cooperation in AgentSpeak through Plan Exchange
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Expectations and deployment of agent technology in manufacturing and defence: case studies
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An Ontology-Based Reconfiguration Agent for Intelligent Mechatronic Systems
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
A Multiagent Control System for Shop Floor Assembly
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
A virtual enterprise design method based on business process simulation
International Journal of Computer Integrated Manufacturing
Semantic Extension of Agent-Based Control: The Packing Cell Case Study
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
A highly distributed intelligent multi-agent architecture for industrial automation
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Journal of Intelligent Manufacturing
A multi-agent architectural solution for coherent distributed reconfigurations of function blocks
Journal of Intelligent Manufacturing
RDFreduce: Customized Aggregations with Provenance for RDF Data based on an Industrial Use Case
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Analyzing and comparing the AES architectures for their power consumption
Journal of Intelligent Manufacturing
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Currently, the manufacturing domain is primarily characterized by the flexibility, adaptability and robustness of the production system. The manufacturing flow processes lead to shorter cycle times to efficiently meet customer needs. Mentioned features can be more easily achieved in a distributed system, such as holonic or multi-agent system, which becomes strongly influenced by the advancement of semantic technologies. In the majority of existing multi-agent based control systems, which are responsible for acting, sensing, computing and production planning, the ontology (necessary for knowledge bases and communication) is usually hard-coded directly in the agent code. In this case, the hard-coded system behavior can be hardly maintained--usually system reprogramming is needed from time to time to satisfy customer requirements. In this paper we discuss the necessity of explicit definition of both declarative and procedural knowledge and propose explicit procedural knowledge handling. Sharing and distribution of such knowledge is discussed and illustrated on an implemented transportation system example. We also introduce the utilization of discussed architecture for explicit specification of agent behavior in failures patterns handling and smart grid configuration scenario. Such a solution greatly increases the possibility of system integration, openness, flexibility, and extensibility, all without having to restart the running distributed system. The topic discussed in this paper shows the ability of the dynamic reconfigurable multi-agent system to participate in development of industrial control systems and solutions.