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Article: Collective behavior coordination with predictive mechanisms

TitleCollective behavior coordination with predictive mechanisms
Authors
Issue Date2008
Citation
Ieee Circuits And Systems Magazine, 2008, v. 8 n. 3, p. 67-85 How to Cite?
AbstractIn natural flocks/swarms, it is very appealing that low-level individual intelligence and communication can yield advanced coordinated collective behaviors such as congregation, synchronization and migration. In the past few years, the discovery of collective flocking behaviors has stimulated much interest in the study of the underlying organizing principles of abundant natural groups, which has led to dramatic advances in this emerging and active research field. Inspired by previous investigations on the predictive intelligence of animals, insects and microorganisms, we seek in this article to understand the role of predictive mechanisms in the forming and evolving of flocks/swarms by using both numerical simulations and mathematical analyses. This article reviews some basic concepts, important progress, and significant results in the current studies of collective predictive mechanisms, with emphasis on their virtues concerning consensus improvement and communication cost reduction. Due to these advantages, such predictive mechanisms have great potential to find their way into industrial applications. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/156979
ISSN
2015 Impact Factor: 3.0
2015 SCImago Journal Rankings: 0.937
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, HTen_US
dc.contributor.authorChen, MZen_US
dc.contributor.authorStan, GBen_US
dc.contributor.authorZhou, Ten_US
dc.contributor.authorMaciejowski, JMen_US
dc.date.accessioned2012-08-08T08:44:48Z-
dc.date.available2012-08-08T08:44:48Z-
dc.date.issued2008en_US
dc.identifier.citationIeee Circuits And Systems Magazine, 2008, v. 8 n. 3, p. 67-85en_US
dc.identifier.issn1531-636Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/156979-
dc.description.abstractIn natural flocks/swarms, it is very appealing that low-level individual intelligence and communication can yield advanced coordinated collective behaviors such as congregation, synchronization and migration. In the past few years, the discovery of collective flocking behaviors has stimulated much interest in the study of the underlying organizing principles of abundant natural groups, which has led to dramatic advances in this emerging and active research field. Inspired by previous investigations on the predictive intelligence of animals, insects and microorganisms, we seek in this article to understand the role of predictive mechanisms in the forming and evolving of flocks/swarms by using both numerical simulations and mathematical analyses. This article reviews some basic concepts, important progress, and significant results in the current studies of collective predictive mechanisms, with emphasis on their virtues concerning consensus improvement and communication cost reduction. Due to these advantages, such predictive mechanisms have great potential to find their way into industrial applications. © 2006 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Circuits and Systems Magazineen_US
dc.titleCollective behavior coordination with predictive mechanismsen_US
dc.typeArticleen_US
dc.identifier.emailChen, MZ:mzqchen@hku.hken_US
dc.identifier.authorityChen, MZ=rp01317en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/MCAS.2008.928446en_US
dc.identifier.scopuseid_2-s2.0-51449118201en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-51449118201&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume8en_US
dc.identifier.issue3en_US
dc.identifier.spage67en_US
dc.identifier.epage85en_US
dc.identifier.isiWOS:000270432500006-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridZhang, HT=7409192616en_US
dc.identifier.scopusauthoridChen, MZ=35085827300en_US
dc.identifier.scopusauthoridStan, GB=16053936800en_US
dc.identifier.scopusauthoridZhou, T=8575473800en_US
dc.identifier.scopusauthoridMacIejowski, JM=7005735237en_US

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