Queuing Network Modeling of the Psychological Refractory Period (PRP)
The psychological refractory period (PRP) is a basic but important form of dual-task information processing. Existing serial or parallel processing models of PRP have successfully accounted for a variety of PRP phenomena; however, each also encounters at least 1 experimental counterexample to its pr...
| Publicado en: | Psychological Review Vol. 115; no. 4; pp. 913 - 955 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
October 2008
|
| Materias: | |
| 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=508002408&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508002408 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0033295X PYV jtl: Psychological Review issn: 0033295X maglogo: N pubinfo: dt: October 2008 vid: 115 iid: 4 pid: 34 pub: American Psychological Association artinfo: ui: 508002408 10.1037/a0013123 ppf: 913 ppct: 42 formats: tig: atl: Queuing Network Modeling of the Psychological Refractory Period (PRP) aug: au: Wu, Changxu Liu, Yili su: Psychology Medical offices Human information processing Cognitive interference sug: subj: Psychology Medical offices Human information processing Cognitive interference ab: The psychological refractory period (PRP) is a basic but important form of dual-task information processing. Existing serial or parallel processing models of PRP have successfully accounted for a variety of PRP phenomena; however, each also encounters at least 1 experimental counterexample to its predictions or modeling mechanisms. This article describes a queuing network-based mathematical model of PRP that is able to model various experimental findings in PRP with closed-form equations including all of the major counterexamples encountered by the existing models with fewer or equal numbers of free parameters. This modeling work also offers an alternative theoretical account for PRP and demonstrates the importance of the theoretical concepts of “queuing” and “hybrid cognitive networks” in understanding cognitive architecture and multitask performance. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|