By the same authors

Using data confluences in a distributed network with social monitoring to identify fault conditions

Research output: Contribution to conferencePaper

Published copy (DOI)

Author(s)

Department/unit(s)

Conference

Conference11th International International Conference on Emerging Technologies and Factory Automation
CountryCzech Republic
CityPrague
Conference date(s)20/09/0622/09/06

Publication details

DatePublished - 22 Sep 2006
Original languageUndefined/Unknown

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

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