Ginsburg and Karpiuk in 1995 introduced an algorithm that simulates human performance in tasks of generating random digits. We have compared sequences produced by this algorithm with human performance and truly random sequences. It is shown that the algorithm can be used to simulate human performance according to the measures on which it had been constructed. However, other peculiarities of human performance are not captured by the algorithm. The results are discussed with regard to current theories of human random-digit generation.
References
1.
Anonymous. (1992) Turbo C++ 3.0 Referenzhandbuch. Starnberg: Borland GmbH.
2.
BaddeleyA. (1986) Working memory. Oxford, UK: Oxford Univer. Press.
EvansF. J. (1978) Monitoring attention deployment by random number generation: An index to measure subjective randomness. Bulletin of the Psychonomic Society, 12, 35–38.
5.
GinsburgN.KarpiukP. (1995) Simulation of human performance on a random generation task. Perceptual and Motor Skills, 81, 1183–1186.
6.
HerzogG. R. (1989) Die Zufallskonzepttheorie: Experimente zur Vorstellung vom Aufbau von Zufallsreihen. Zeitschrift für experimentelle und angewandte Psychologie, 36, 199–220.
7.
KalosM. H.WhitlockP. A. (1986) Monte Carlo methods. New York: Wiley.
8.
RosenbergR.WeberN.CrocqM-A.DuvalF.MacherJ-P. (1990) Random number generation by normal, alcoholic and schizophrenic subjects. Psychological Medicine, 20, 953–960.
9.
SpattJ.GoldenbergG. (1993) Components of random generation by normal subjects and patients with dysexecutive syndrome. Brain and Cognition, 23, 231–242.
