WHY DO FREQUENCY FORMATS IMPROVE BAYESIAN REASONING - COGNITIVE ALGORITHMS WORK ON INFORMATION, WHICH NEEDS REPRESENTATION

Authors
GIGERENZER G
Citation
G. Gigerenzer, WHY DO FREQUENCY FORMATS IMPROVE BAYESIAN REASONING - COGNITIVE ALGORITHMS WORK ON INFORMATION, WHICH NEEDS REPRESENTATION, Behavioral and brain sciences, 19(1), 1996, pp. 23
Citations number
12
Categorie Soggetti
Psychology,"Psychology, Biological",Neurosciences,"Behavioral Sciences
Journal title
Behavioral and brain sciences → ACNP
ISSN journal
0140525X
Volume
19
Issue
1
Year of publication
1996
Database
ISI
SICI code
0140-525X(1996)19:1<23:WDFFIB>2.0.ZU;2-1
Abstract
In contrast to traditional research on base-rate neglect, an ecologica lly-oriented research program would analyze the correspondence between cognitive algorithms and the nature of information in the environment . Bayesian computations turn out to be simpler when information is rep resented in frequency formats as opposed to the probability formats us ed in previous research. Frequency formats often enable even uninstruc ted subjects to perform Bayesian reasoning.