|Reference code: ||PT/FB/E/102|
|Location: ||Arquivo PCA - Pasta 2/2002|
|Applications of decision augmentation theory|
|Publication year: ||1995|
|Número de inventário: |
May, Utts, and Spottiswoode (1995) proposed decision augmentation theory (DAT) as a general model of anomalous mental phenomena.(1) DAT holds that anomalous cognition information is included along with the usual inputs that result in a final human decision that favors a "desired" outcome. In statistical parlance, DAT says that a slight, systematic bias is introduced into the decision process by anomalous cognition.
This concept has the advantage of being quite general. We know of no experiment that is devoid of at least one human decision; thus, DAT might be the underlying basis for anomalous mental phenomena. May et al. (1995) mathematically developed this concept and constructed a retrospective test algorithm that can be applied to existing databases. In this paper, we summarize the theoretical predictions of DAT, review the criteria for valid retrospective tests, and analyze the historical random number generator (RNG) database. In addition, we summarize the findings from one prospective test of DAT and comment on the published criticisms of an earlier formulation, which was then called intuitive data sorting (IDS). We conclude with a discussion of the RNG results that provide a strong circumstantial argument against a force-like explanation. As part of this review, we show that one biological-AP experiment is better described by an influence model.
|Accessibility: ||Document does not exist in file|
|Secondary author(s): |
|Spottiswoode, J., Utts, J., James, C.|
|Document type: |
|May, E. C., Spottiswoode, J., Utts, J. M., & James, C. L. (1995). Applications of Decision Augmentation Theory. Journal of Parapsychology, 59(3), 221-250.|
|Indexed document: ||No|
|Keywords: ||Psychophysiology / Parapsychology / Precognition / Anomalous cognition|