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- Publisher Website: 10.1109/MCAS.2008.928446
- Scopus: eid_2-s2.0-51449118201
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Article: Collective behavior coordination with predictive mechanisms
Title | Collective behavior coordination with predictive mechanisms |
---|---|
Authors | |
Issue Date | 2008 |
Citation | Ieee Circuits And Systems Magazine, 2008, v. 8 n. 3, p. 67-85 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/156979 |
ISSN | 2023 Impact Factor: 5.6 2023 SCImago Journal Rankings: 1.337 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, HT | en_US |
dc.contributor.author | Chen, MZ | en_US |
dc.contributor.author | Stan, GB | en_US |
dc.contributor.author | Zhou, T | en_US |
dc.contributor.author | Maciejowski, JM | en_US |
dc.date.accessioned | 2012-08-08T08:44:48Z | - |
dc.date.available | 2012-08-08T08:44:48Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.citation | Ieee Circuits And Systems Magazine, 2008, v. 8 n. 3, p. 67-85 | en_US |
dc.identifier.issn | 1531-636X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/156979 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.relation.ispartof | IEEE Circuits and Systems Magazine | en_US |
dc.title | Collective behavior coordination with predictive mechanisms | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chen, MZ:mzqchen@hku.hk | en_US |
dc.identifier.authority | Chen, MZ=rp01317 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1109/MCAS.2008.928446 | en_US |
dc.identifier.scopus | eid_2-s2.0-51449118201 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-51449118201&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.spage | 67 | en_US |
dc.identifier.epage | 85 | en_US |
dc.identifier.isi | WOS:000270432500006 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Zhang, HT=7409192616 | en_US |
dc.identifier.scopusauthorid | Chen, MZ=35085827300 | en_US |
dc.identifier.scopusauthorid | Stan, GB=16053936800 | en_US |
dc.identifier.scopusauthorid | Zhou, T=8575473800 | en_US |
dc.identifier.scopusauthorid | MacIejowski, JM=7005735237 | en_US |
dc.identifier.issnl | 1531-636X | - |