A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Ontologies for Multi-Agent Systems in Manufacturing Domain
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
MASON: A Proposal For An Ontology Of Manufacturing Domain
DIS '06 Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications
IEC 61499 Function Blocks for Embedded and Distributed Control Systems Design
IEC 61499 Function Blocks for Embedded and Distributed Control Systems Design
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
Intelligent distributed control systems
Information and Software Technology
Formal approach for the development of intelligent industrial control components
International Journal of Computer Applications in Technology
Distributed Reconfigurations of Autonomous IEC61499 Systems
ACM Transactions on Embedded Computing Systems (TECS) - Special Issue on Modeling and Verification of Discrete Event Systems
A multi-agent architectural solution for coherent distributed reconfigurations of function blocks
Journal of Intelligent Manufacturing
Dynamic explicitly specified behaviors in distributed agent-based industrial solutions
Journal of Intelligent Manufacturing
International Journal of Advanced Pervasive and Ubiquitous Computing
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This paper discusses an ontology-based reconfiguration agent that uses ontological knowledge of the manufacturing environment for the purpose of reconfiguration without human intervention. The current mass customization era requires increased flexibility and agility in the manufacturing systems to adapt changes in manufacturing requirements and environments. Our configuration agent minimizes the overheads of the current reconfiguration process by automating it. It infers facts about the manufacturing environment from the ontological knowledge model and then decides whether the current environment can support the given manufacturing requirements.