Regularities in the environment are used to decide what course of action to take and how to prepare for future events. Here we focus on the utilization of regularities for prediction and argue that the commonly considered measure of regularity - the strength of the contingency between antecedent and outcome events - does not fully capture the goodness of a regularity for predictions. We propose, instead, a new measure - the level of expected prediction accuracy (ExpPA) - which takes into account the fact that, at times, maximal prediction accuracy can be achieved by always predicting the same, most prevalent outcome, and in others, by predicting one outcome for one antecedent and another for the other. Two experiments, testing the ExpPA measure in explaining participants' behavior, found that participants are sensitive to the twin facets of ExpPA and that prediction behavior is best explained by this new measure.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Center for Rationality and Interactive Decision Theory, Hebrew University, Jerusalem in its series Discussion Paper Series with number
dp455.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: