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Conference Paper: Artificial immunity based cooperative sustainment framework for multi-agent systems

TitleArtificial immunity based cooperative sustainment framework for multi-agent systems
Authors
Issue Date2011
PublisherSpringer-Verlag London Limited.
Citation
The 13th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2010), Cambridge, U.K., 14-16 December 2010. In Research and Development in Intelligent Systems XXVII, 2011, pt. 7, p. 267-272 How to Cite?
AbstractMany studies show that the modelling concept of multi-agent systems (MAS) can be very useful for many industries, such as automated production systems, modern distribution centres and warehouses, port container terminals and transportation systems, etc. However, when applying them to real life where unpredictable factors exists that lead to agent failures, they will not be able to perform as expected or even failed completely. A MAS that can withstand and recover from unpredictable failures is much welcomed by many industries that adopt automation as an integral part of their businesses. Therefore, we propose a cooperative sustainment framework to help MAS to recover the failed agent nodes and extend the system life using artificial immunity inspired design. To verify the usefulness of the design, we carry out some experiments and the result is encouraging.
DescriptionPart 7 - Short Papers
Persistent Identifierhttp://hdl.handle.net/10722/126223
ISBN

 

DC FieldValueLanguage
dc.contributor.authorChan, RCMen_HK
dc.contributor.authorLau, HYKen_HK
dc.date.accessioned2010-10-31T12:16:33Z-
dc.date.available2010-10-31T12:16:33Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 13th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2010), Cambridge, U.K., 14-16 December 2010. In Research and Development in Intelligent Systems XXVII, 2011, pt. 7, p. 267-272en_HK
dc.identifier.isbn978-0-85729-129-5-
dc.identifier.urihttp://hdl.handle.net/10722/126223-
dc.descriptionPart 7 - Short Papers-
dc.description.abstractMany studies show that the modelling concept of multi-agent systems (MAS) can be very useful for many industries, such as automated production systems, modern distribution centres and warehouses, port container terminals and transportation systems, etc. However, when applying them to real life where unpredictable factors exists that lead to agent failures, they will not be able to perform as expected or even failed completely. A MAS that can withstand and recover from unpredictable failures is much welcomed by many industries that adopt automation as an integral part of their businesses. Therefore, we propose a cooperative sustainment framework to help MAS to recover the failed agent nodes and extend the system life using artificial immunity inspired design. To verify the usefulness of the design, we carry out some experiments and the result is encouraging.-
dc.languageengen_HK
dc.publisherSpringer-Verlag London Limited.-
dc.relation.ispartofResearch and Development in Intelligent Systems XXVII-
dc.titleArtificial immunity based cooperative sustainment framework for multi-agent systemsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, RCM: rcmc@hku.hken_HK
dc.identifier.emailLau, HYK: hyklau@hku.hk-
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1007/978-0-85729-130-1_19-
dc.identifier.hkuros180470en_HK
dc.identifier.issuept. 7-
dc.identifier.spage267-
dc.identifier.epage272-
dc.publisher.placeUnited Kingdom-
dc.description.otherThe 13th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2010), Cambridge, U.K., 14-16 December 2010. In Research and Development in Intelligent Systems XXVII, 2011, pt. 7, p. 267-272-

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