ABSTRACT

In previous volumes of this series, we described a general theory of memory and decision making that accounts for phenomena as diverse as probability learning, categorization, concept formation, and pattern recognition (Chase, 1983; Heinemann, 1983a; Heinemann & Chase, 1989). In this chapter we shall discuss how this theory is related to signal-detection theory (SDT), and attempt to account for some of the differences between the behavior predicted by SDT and that actually observed. (The problems discussed in this chapter concern “recognition” rather than “detection” but to facilitate communication we shall use the well-known terminology of SDT.) We shall limit our discussion here to decisions involving stimuli that induce sensations which vary along a single intensitive dimension, such as loudness or brightness.