Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Deliberate evolution in multi-agent systems (extended abstract)
Proceedings of the third annual conference on Autonomous Agents
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Verification and validation of the SACHEM Conceptual model
International Journal of Human-Computer Studies
Simulation modeling methodology: principles and etiology of decision support
Simulation modeling methodology: principles and etiology of decision support
Monitoring and alarm interpretation in industrial environments
AI Communications
The Discrete Event Concept as a Paradigm for the “Perception-Based Diagnosis” of Sachem
Journal of Intelligent and Robotic Systems
International Journal of Knowledge-based and Intelligent Engineering Systems
| Hi-index | 0.00 |
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.