Monitoring and Diagnostics with Intelligent Agents Using Fuzzy Logic
Arnulfo Alanis Garza, J.J. Serrano, Rafael Ors Carot, Karim Ramirez, Mario García-Valdéz, Héctor Ruiz Arias, José Soria · 2006
Abstract- Intelligent Agents have originated a lot of discussion about what they are, and how they are different from general programs. We describe in this paper a new paradigm for intelligent agents. This paradigm helped us deal with failures in an independent and efficient way. We proposed three types of agents to treat the system in a hierarchical way. A new way to visualize fault tolerant systems (FTS) is proposed, with the incorporation of intelligent agents, as they grow and specialize create the Multi-Agent System (MAS). The MAS contains a diversified range of agents, which depending on the perspective will be specialized or evolutionary (from our initially proposal) they will be specialized for the detection and possible solution of errors that appear in an FTS). The initial structure of the agent is proposed in [1] and named reflected agent with an internal state and in the Method MeCSMA [2]. The present work is based on the idea that with the help of the paradigm of intelligent agents, we may be able to handle fault tolerant systems, in the modality of embedded systems. The idea is to detect errors and to try to correct the failures that could happen in industrial control by monitoring and diagnosis.