Distributed Information Processing in Biological and Computational Systems.
The article looks at the intersection of computing and biology, focusing on the implications of the presence of distributed algorithms of control and information processing in both computational and biological systems. It notes that researchers in each discipline are making use of models from the ot...
| Publicado en: | Communications of the ACM Vol. 58; no. 1; pp. 94 - 103 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Jan2015
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| 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=100098984&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 100098984 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jan2015 vid: 58 iid: 1 pid: 68 pub: Association for Computing Machinery artinfo: ui: 100098984 10.1145/2678280 ppf: 94 ppct: 9 formats: tig: atl: Distributed Information Processing in Biological and Computational Systems. aug: au: NAVLAKHA, SAKET BAR-JOSEPH, ZIV affil: Assistant professor, Center for Integrative Biology, Salk Institute for Biological Studies, La Jolla, CA Associate professor, Machine Learning Department & Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA su: Computer science research Biological research Distributed algorithms Information processing Distributed computing Biological systems Computer networks Communication sug: subj: Computer science research Biological research Distributed algorithms Information processing Distributed computing Biological systems Computer networks Communication ab: The article looks at the intersection of computing and biology, focusing on the implications of the presence of distributed algorithms of control and information processing in both computational and biological systems. It notes that researchers in each discipline are making use of models from the other and discusses how the most useful topics of such intersecting studies can be identified. Topics include the network of finite state machines (nFSM)-based communication model, shared memory models, and stochastic decision-making. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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