Abstract
This paper presents implementation of an algorithm that handles knowledge management and learning processes which are implemented in the existing Multi-Agent System (MAS). Both presented knowledge management and learning mechanisms are based on the implemented ontology mechanisms. Proposed MAS solution is based on the Java Agent Development (JADE) framework which is a Java based tool that supports creation of FIPA (Foundation for Intelligent Physical Agents) compliant agents. It integrates with various different OPC (OLE for Process Control) and database servers simultaneously. OPC is an open automation communication interface that is used to retrieve and analysis of various different real time data from the various different remote process controllers. To integrate OPC automation interface, presented MAS utilize Java Native Interface (JNI) which is a bridge between a Java and native programming languages. Presented MAS establishes database cooperation by means of the NHibernate entity framework which is a .Net platform specific, object relational mapper (ORM). Integration with .Net platform is performed by means of the highly refactored JADE Sharp module add-on which enables creation .Net agents compliant with the JADE framework.
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Choinski, D., Senik, M. (2012). Ontology Based Knowledge Management and Learning in Multi-Agent System. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_10
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DOI: https://doi.org/10.1007/978-3-642-30947-2_10
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