Modelling structures in generic space, a condition for adaptiveness of Monitoring Cognitive Agent
The adaptiveness of agents is one of the basic conditions for the autonomy. This paper describes an approach of adaptiveness for Monitoring 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.
monitoring cognitive agent autonomous agent expert systems diagnosis