Why Evaluate Ontology Technologies? Because It Works!
IEEE Intelligent Systems
IP Network-Based Multi-Agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems
Multiscale Three-Phase Flow Simulation Dedicated to Model Based Control
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Ontological Profiles in Enterprise Search
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Multi-Agent System for Hierarchical Control with Self-organising Database
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Ontology engineering, scientific method and the research agenda
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
International Journal of Information Management: The Journal for Information Professionals
Multilayer automated methods for the system integration
CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering
Cooperative visualization based on agent voting
CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering
Ontology based knowledge management and learning in multi-agent system
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Agent-Based control of self-sustained oscillations in industrial processes: a bioreactor case study
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
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This paper introduces a possibility of integration of Distributed Control System (DCS) by Multi-Agent System (MAS). Proposed solution is based on Java Agent Development (JADE) framework a Java based tool that supports creation of FIPA (Foundation for Intelligent Physical Agents) compliant agents. In the proposed Multi-Agent heterogeneous system the OPC plays an important role as a powerful communication technology especially dedicated for real-time DCS. Presented agents are capable of sharing their knowledge with other agents; they are capable of accomplishing tasks according to actual environment conditions. Proposed solution of the MAS implementation is a highly efficient, scalable and robust it utilizes mobility in order to ensure cooperativeness during distributed problem solving task. Finally, it has been proved that assumed Multi-Agent System considerably improves system quality, accuracy and reliability.