A Computational Theory of Selection by Consequences Applied to Concurrent Schedules.
Virtual organisms animated by a computational theory of selection by consequences responded on symmetrical and asymmetrical concurrent schedules of reinforcement. The theory instantiated Darwinian principles of selection, reproduction, and mutation such that a population of potential behaviors evolv...
| Publicado en: | Journal of the Experimental Analysis of Behavior Vol. 90; no. 3; pp. 387 - 404 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Society for the Experimental Analysis of Behavior
November 2008
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| 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=511421847&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511421847 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00225002 JOE jtl: Journal of the Experimental Analysis of Behavior issn: 00225002 maglogo: N pubinfo: dt: November 2008 vid: 90 iid: 3 pid: 508 pub: Society for the Experimental Analysis of Behavior artinfo: ui: 511421847 10.1901/jeab.2008.90-387 ppf: 387 ppct: 17 formats: tig: atl: A Computational Theory of Selection by Consequences Applied to Concurrent Schedules. aug: au: McDowell, J. J. Caron, Marcia L. Kulubekova, Saule Berg, John P. su: Behaviorism (Psychology) Virtual reality in education Psychological research Computer software sug: subj: Behaviorism (Psychology) Virtual reality in education Psychological research Computer software ab: Virtual organisms animated by a computational theory of selection by consequences responded on symmetrical and asymmetrical concurrent schedules of reinforcement. The theory instantiated Darwinian principles of selection, reproduction, and mutation such that a population of potential behaviors evolved under the selection pressure exerted by reinforcement from the environment. The virtual organisms' steady-state behavior was well described by the power function matching equation, and the parameters of the equation behaved in ways drat were consistent with findings from experiments with live organisms. Together with previous research on single-alternative schedules (McDowell, 2004; McDowell & Caron, 2007) these results indicate that the equations of matching theory are emergent properties of the evolutionary dynamics of selection by consequences. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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