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Article: An immunity approach to strategic behavioral control

TitleAn immunity approach to strategic behavioral control
Authors
KeywordsAis Agent
Artificial Immune System
Behavior
Cooperation
Immunity-Based Control
Issue Date2007
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai
Citation
Engineering Applications Of Artificial Intelligence, 2007, v. 20 n. 3, p. 289-306 How to Cite?
AbstractAn Artificial Immune System (AIS) paradigm, which is an engineering analog to the human immune system, is adopted to deliver the performance and robustness required by a multi-agent system. AIS offers a number of profound features and solutions, including the ability to detect changes, self-organization and decentralization, to the control of a fully distributed multi-agent system. By adopting the immunity mechanisms of AIS adapted to specify and implement the behavior of each agent, a behavioral control paradigm is developed. Effective coordination and mutual understanding between agents can be achieved by adopting such a strategic behavioral control based on their corresponding behavior. Each agent is abstracted as an independent entity that carries local information, searches for solution space and exhibits robust behavior to accomplish tasks. In this article, simulations are presented with an automated intelligent system. The significance of the behavioral control paradigm and the impact of the immunity-based behaviors on the overall performance of the transport system are examined. The simulation results illustrate the importance of behavioral control and the inter-relationship of each behavior in establishing a truly automated multi-agent system for the future. © 2006 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/155894
ISSN
2015 Impact Factor: 2.368
2015 SCImago Journal Rankings: 1.371
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLau, HYKen_US
dc.contributor.authorWong, VWKen_US
dc.date.accessioned2012-08-08T08:38:15Z-
dc.date.available2012-08-08T08:38:15Z-
dc.date.issued2007en_US
dc.identifier.citationEngineering Applications Of Artificial Intelligence, 2007, v. 20 n. 3, p. 289-306en_US
dc.identifier.issn0952-1976en_US
dc.identifier.urihttp://hdl.handle.net/10722/155894-
dc.description.abstractAn Artificial Immune System (AIS) paradigm, which is an engineering analog to the human immune system, is adopted to deliver the performance and robustness required by a multi-agent system. AIS offers a number of profound features and solutions, including the ability to detect changes, self-organization and decentralization, to the control of a fully distributed multi-agent system. By adopting the immunity mechanisms of AIS adapted to specify and implement the behavior of each agent, a behavioral control paradigm is developed. Effective coordination and mutual understanding between agents can be achieved by adopting such a strategic behavioral control based on their corresponding behavior. Each agent is abstracted as an independent entity that carries local information, searches for solution space and exhibits robust behavior to accomplish tasks. In this article, simulations are presented with an automated intelligent system. The significance of the behavioral control paradigm and the impact of the immunity-based behaviors on the overall performance of the transport system are examined. The simulation results illustrate the importance of behavioral control and the inter-relationship of each behavior in establishing a truly automated multi-agent system for the future. © 2006 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappaien_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.subjectAis Agenten_US
dc.subjectArtificial Immune Systemen_US
dc.subjectBehavioren_US
dc.subjectCooperationen_US
dc.subjectImmunity-Based Controlen_US
dc.titleAn immunity approach to strategic behavioral controlen_US
dc.typeArticleen_US
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_US
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.engappai.2006.06.002en_US
dc.identifier.scopuseid_2-s2.0-33847615664en_US
dc.identifier.hkuros127806-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847615664&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume20en_US
dc.identifier.issue3en_US
dc.identifier.spage289en_US
dc.identifier.epage306en_US
dc.identifier.isiWOS:000245477700001-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLau, HYK=7201497761en_US
dc.identifier.scopusauthoridWong, VWK=8314372800en_US

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