Procedural and declarative knowledge in agent-based control

This work covers the latest application oriented aspects of flexible and reconfigurable intelligent manufacturing control. In recent years, manufacturing enterprises and industrial plants must be aware of the changing custom environment and be capable to adapt and understand to customers needs. Latest technologies and research in intelligent manufacturing systems emphasize the interaction, collaboration and knowledge processing, and many applications based on multi-agent systems technologies are dealing with knowledge acquisition, manipulation and reuse. This paper shows how procedural and declarative knowledge can be utilized and processed in agent-based manufacturing control systems to enable better flexibility and adaptability to customer changes. The explicit description of domain of interest, e.g. production planning, will provide a more efficient way for agents to represent and exchange the knowledge, to do automated pattern matching and reasoning, etc. We are focusing on semantic enrichment of agents and their planning capabilities within selected packing production line scenario.