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...

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Publicado en:Journal of Parapsychology Vol. 59; pp. 195 - 221
Autores principales: May, Edwin C., Utts, Jessica M., Spottiswoode, S. James P.
Formato: Artículo
Publicado: Rhine Research Center September 1995
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          May, Edwin C.
          Utts, Jessica M.
          Spottiswoode, S. James P.
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        Statistics
        Human information processing
        Parapsychology
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          Statistics
          Human information processing
          Parapsychology
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      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.
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    language: English
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