Title :
Using Data Confluences in a Distributed Network with Social Monitoring to Identify Fault Conditions
Author :
Aitken, Jonathan M. ; Clarke, Tim
Author_Institution :
Dept. of Electron., The Univ. of York Heslington
Abstract :
This paper discusses the potential benefits of socially attentive monitoring in multi-agent systems. A multi-agent system with this feature is shown to detect and identify when an individual within the network fails to operate correctly. The system that has been developed is capable of detecting a range of common faults such as stuck at zero by allowing communication between peers within a software agent network. Further adaption to the model allows an improvement in system response without introduction of specific control design algorithms
Keywords :
computerised monitoring; fault diagnosis; multi-agent systems; software agents; control design algorithms; data confluences; distributed network; fault conditions; multiagent systems; social monitoring; socially attentive monitoring; software agent network; system response; Artificial intelligence; Communication system control; Computer science; Condition monitoring; Fault detection; Fault diagnosis; Humans; Intelligent agent; Multiagent systems; Software agents;
Conference_Titel :
Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
Conference_Location :
Prague
Print_ISBN :
0-7803-9758-4
DOI :
10.1109/ETFA.2006.355347
