Collective behavior coordination with predictive mechanisms
Zhang H.T., Chen M.Z.Q., Stan G.B., Zhou T. and Maciejowski J.M.
IEEE Circuits and Systems Magazine, Volume 8, Number 3, Pages 67-85, September 2008Abstract
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 progresses, 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 in industrial
applications.
BibTex Entry
- @Article{,
- author = {Zhang H.T., Chen M.Z.Q., Stan G.B., Zhou T. and Maciejowski J.M.},
- journal = {IEEE Circuits and Systems Magazine},
- title = {Collective behavior coordination with predictive mechanisms},
- year = {2008},
- month = {September},
- number = {3},
- pages = {67-85},
- volume = {8}
- }
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