Aging and Probabilistic Learning in Single- and Multiple-Cue Tasks

Abstract

The objective of the study was to examine some of the conditions under which elderly people are able to learn probabilistic inverse relationships and when this type of learning is no longer possible. Two kind of tasks were used: (a) two single-cue learning tasks with either direct or inverse relationships (the Single-Cue Probability Learning paradigm), and (b) three two-cue learning tasks, one with two direct relationships, one with a combination of direct and inverse relationships, and one with two inverse relationships (the Multiple-Cue Probability Learning paradigm). Four groups of participants were included in the study: young adults (18- to 25-year-olds), adults (40- to 50-year-olds), elderly people (65- to 74-year-olds), and very elderly people (75- to 90-year-olds). It was shown that (a) older adults are able to reject the direct relationship “default” hypothesis and select the inverse relationship hypothesis when outcome feedback contradicting the default hypothesis is given, and provided that the learning setting be a very simple one, involving only one cue; (b) some older adults are able to select the inverse relationship hypothesis provided that the learning setting be a simple one, involving only two inverse relationship cues; and (c) very few older adults are able to select the inverse relationship hypothesis when the learning setting is a complex one, involving two cues with both direct and inverse relationships with the criterion. These results led to the revision of the “gradual decrease of cognitive flexibility in older adults” hypothesis proposed by Chasseigne, Mullet, and Stewart (Acta Psychologic`a, 103, 229–238, 1997).

This work was supported by the UPRES Vieillissement et Développment Cognitif (François-Rabelais University), and by the UMR Travail et Cognition (Mirail University). The authors are grateful to Stacey Callahan for her thoughtful comments on an earlier draft of this article.

Notes

¹Other modeling methods can be used for lens model analysis. The LME holds as long as the E's and the Yˆ's are uncorrelated.