Modelling structures in generic space, a condition for adaptiveness of monitoring cognitive agent |
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Authors: | Marc Le Goc Michel Gaeta |
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Affiliation: | (1) Polytech Marseille, LSIS, UMR CNRS 6168, Av. Escadrille Normandie Niemen, 13 397 Marseille Cedex 20, France;(2) TIXIS Systems, ARCELOR Group, SACHEM Research, DB25 13 776 Fos sur Mer Cedex, France;(3) VIBRIA, Avenue du Luxembourg, ZAC des Playes, 83 507 La Seyne sur Mer, France |
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Abstract: | The adaptiveness of agents is one of the basic conditions for the autonomy. This paper describes an approach of adaptiveness forMonitoring Cognitive Agents based on the notion of generic spaces. This notion allows the definition of virtual generic processes so that any particular actual process is then a simple configuration of the generic process, that is to say a set of values of parameters. Consequently, generic domain ontology containing the generic knowledge for solving problems concerning the generic process can be developed. This lead to the design of Generic Monitoring Cognitive Agent, a class of agent in which the whole knowledge corpus is generic. In other words, modeling a process within a generic space becomes configuring a generic process and adaptiveness becomes genericity, that is to say independence regarding technology. In this paper, we present an application of this approach on Sachem, a Generic Monitoring Cognitive Agent designed in order to help the operators in operating a blast furnace. Specifically, the NeuroGaz module of Sachem will be used to present the notion of a generic blast furnace. The adaptiveness of Sachem can then be noted through the low cost of the deployment of a Sachem instance on different blast furnaces and the ability of NeuroGaz in solving problem and learning from various top gas instrumentation. |
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Keywords: | autonomous agent cognitive agent expert systems diagnosis monitoring |
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