firedocs

ABSTRACT
from the
Journal of Parapsychology


DECISION AUGMENTATION THEORY:
T
OWARDS A MODEL OF ANOMALOUS MENTAL PHENOMENA

By Edwin C. May, Jessica M. Utts, and S. James Spottiswoode

Cognitive Sciences Laboratory
330 Cowper Street, Suite 200
Palo Alto, CA 94301 (May and Spottiswoode)
and: Division of Statistics
University of California, Davis
Davis, CA 956168705 (Utts).

Decision augmentation theory (DAT) holds that humans integrate information optained 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.

 

Parapsychology Press

You can access the JoP web site here.

You can find subscription information for this excellent peer-reviewed science journal on their web site, or on the firedocs science page.


firedocs entrancefiredocs "RV/AC Science Page"

Top