Inteligent Reconfiguration in Intensive Knowledgebased Automation Systems

31.12.2005 - 31.12.2007
Forschungsförderungsprojekt
The new reconfigurable manufacturing paradigm requires development of systematic methods, and software tools, for the rapid design and build up of production systems that change the capacity and functionality in response to the market demand. The effectiveness of reconfiguration will depend upon the development of such tools. In this project, the new concept consisting of ontology knowledge based systems in connection with software agents will be applied for the solution of the reconfiguration problem.In our system each agent is a software entity that has a set of protocols, which govern the operations of the manufacturing entity, a knowledge base and an inference mechanism. The knowledge base with an inference mechanism is the ¿brain¿ of an agent. The agent needs to have knowledge about his domain of application, about strategies, which can be used to achieve a specific goal, and knowledge about the (other) agents involved in the system. The knowledge base is a ¿large collection of facts, rules, and heuristics that capture knowledge about a specific domain of applications¿. Ontologies are used to specify the infrastructure in which the various agents operate, i.e., the information manipulated by the various agents and the relationships between them.In this project the suitability of these concepts will be proven by a simulation and by a simple application in the Testbed of our Odo Struger laboratory. With the planned experimental architecture the characteristics of the knowledge-based agent systems, i.e. reconfiguration, cooperation and autonomy, can be tested.The advantage of our concept is that in this knowledge-based system it does not have to be said, how a problem has to be solved (i.e. which details have to be done), but the problem and the goal have to be described. The system decides on its own how to achieve the goal. Our approach can be used as a basis for further research the self-organization and the self-learning of the individual autonomous components in a transport system.

Personen

Projektleiter_in

Projektmitarbeiter_innen

Institut

Grant funds

  • Hochschuljubiläumsfonds der Stadt Wien (National) Anniversary Fund for Higher Education of the City of Vienna

Forschungsschwerpunkte

  • Cognitive and adaptive Automation and Robotics: 100%

Schlagwörter

DeutschEnglisch
Wissensbasierendes SystemKnowlage Based System
OntologieOntology
AgentensystemAgent Based System
RekonfigurationReconfiguration

Publikationen