Natural Algorithms in a Networked World.
The article discusses theories of collective behavior including social networking behavior in humans, flocking in birds, and schooling in fishes, particularly noting the theory of collective phenomena which combines dynamical systems, graph theory, Markov chains, and algorithms. It addresses the imp...
| Publicado en: | Communications of the ACM Vol. 55; no. 12; pp. 100 - 101 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Dec2012
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=84343584&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 84343584 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Dec2012 vid: 55 iid: 12 pid: 68 pub: Association for Computing Machinery artinfo: ui: 84343584 10.1145/2380656.2380678 ppf: 100 ppct: 1 formats: tig: atl: Natural Algorithms in a Networked World. aug: au: Jadbabaie, Ali affil: Professor of Electrical and Systems Engineering, University of Pennsylvania su: Collective behavior Multiagent systems Dynamical systems Social network research Bird behavior Fish schooling Degrees of freedom Chazelle, Bernard Markov processes Algorithms Graph theory Mathematical models sug: subj: Collective behavior Multiagent systems Dynamical systems Social network research Bird behavior Fish schooling Degrees of freedom Chazelle, Bernard Markov processes Algorithms Graph theory Mathematical models ab: The article discusses theories of collective behavior including social networking behavior in humans, flocking in birds, and schooling in fishes, particularly noting the theory of collective phenomena which combines dynamical systems, graph theory, Markov chains, and algorithms. It addresses the importance of the local neighborhood and modeling many-degrees-of-freedom, as well as comments on influence systems. It explores diffusive influence systems, multi-agent systems, and the work of computer scientist Bernard Chazelle. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
|---|