Decision augmentation theory: toward a model of anomalous mental phenomena.
Decision augmentation theory (DAT) holds that humans integrate information obtained by anomalous cognition into the usual decision process. The result is that, to a statistical degree, such decisions are biased toward volitional outcomes. We introduce our model and show that the domain over which...
| Publicado en: | Journal of Parapsychology Vol. 59; pp. 195 - 221 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Rhine Research Center
September 1995
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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=510373659&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510373659 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00223387 PAY jtl: Journal of Parapsychology issn: 00223387 maglogo: N pubinfo: dt: September 1995 vid: 59 pid: 533 pub: Rhine Research Center artinfo: ui: 510373659 ppf: 195 ppct: 26 formats: fmt: @attributes: type: T tig: atl: Decision augmentation theory: toward a model of anomalous mental phenomena. aug: au: May, Edwin C. Utts, Jessica M. Spottiswoode, S. James P. su: Statistics Human information processing Parapsychology sug: subj: Statistics Human information processing Parapsychology keyword: Psi ab: Decision augmentation theory (DAT) holds that humans integrate information obtained by anomalous cognition into the usual decision process. The result is that, to a statistical degree, such decisions are biased toward volitional outcomes. We introduce our model and show that the domain over which it is applicable is within a few standard deviations from chance. We contrast the theory's experimental consequences with those of models that treat anomalous effects as due to a force. We derive mathematical expressions for DAT and for force-like models using two distributions, normal and binomial. DAT is testable both retrospectively and prospectively, and we provide statistical power curves to assist in the experimental design of such tests. We show that the experimental consequences of our theory are different from those of force-like models except for one special case. 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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