Planning and management of the production factors based on the SCDIA framework
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
WSEAS Transactions on Systems and Control
A Methodology to Specify Multiagent Systems
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A MULTI-AGENT SYSTEM FOR THE MANAGEMENT OF ABNORMAL SITUATIONS IN AN ARTIFICIALLY GAS-LIFTED WELL
Applied Artificial Intelligence
Multiagent systems for production planning in automation
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
Different dynamic causal relationship approaches for cognitive maps
Applied Soft Computing
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One approach for automating industrial processes is a Distributed Control System (DCS) based on a hierarchical architecture. In this hierarchy, each level is characterized by a group of different tasks to be carried out within the control system and by using and generating different information. In this article, a reference model for the development of Intelligent Distributed Control Systems based on Agents (IDCSA) inspired by this hierarchical architecture is presented. The agents of this model are classified in two categories: control agents and service management environment agents. To define these agents we have used an extension of the MAS-Common KADS methodology for Multi-Agent Systems (MAS).