Distributed computation as an economic system.
Economics is helpful for allocating computational resources to programs that run on computer networks. This is because computer networks can be viewed as a community of concurrent processes, or a “computational ecosystem.” As such networks grow, they become more analogous to human market economies...
| Publicado en: | Journal of Economic Perspectives Vol. 9; pp. 141 - 153 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Economic Association
Winter 1995
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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=ssf&AN=512568569&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512568569 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 08953309 JEC jtl: Journal of Economic Perspectives issn: 08953309 maglogo: N pubinfo: dt: Winter 1995 vid: 9 pid: 22 pub: American Economic Association artinfo: ui: 512568569 ppf: 141 ppct: 12 formats: tig: atl: Distributed computation as an economic system. aug: au: Huberman, Bernardo A. Hogg, Tad su: Distributed computing Economics Electronic data processing sug: subj: Distributed computing Economics Electronic data processing ab: Economics is helpful for allocating computational resources to programs that run on computer networks. This is because computer networks can be viewed as a community of concurrent processes, or a “computational ecosystem.” As such networks grow, they become more analogous to human market economies because their processes face the same issues as individuals in a market—interactions, strategies, and lack of perfect knowledge. One of the main implications of this analogy is that economics may provide new ways to design and understand the behavior of distributed computer systems. A computational system built in accordance with market rules can allow the system as a whole to adapt to changes in the environment or disturbance to individual members. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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