Abstract
The use of agent to infer actions from domain specific knowledge has proved to be a successful approach. In this paper, we implement an agentbased system extracting knowledge from ontology-based databases that are embedded in intelligent instruments. As the ontology produces static information on the environment, the emerging behavior results from dependence relations between this information and the functional role of each instrument. Agents are organized in two processing agents. The first of them allows dynamic inference on data meaning. In the second agent, knowledge analysis leads to establish dependence relationships between the basic components of the instruments (i.e., variables and services) and to fire remote modes and external services. In such a way, the local model of the intelligent instrument is dynamically extended with capabilities of any other instrument.
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Dapoigny, R., Benoit, E., Foulloy, L. (2003). Agent-Based Implementation on Intelligent Instruments. In: Chung, P.W.H., Hinde, C., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2003. Lecture Notes in Computer Science(), vol 2718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45034-3_51
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DOI: https://doi.org/10.1007/3-540-45034-3_51
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