ABSTRACT
Various models have been proposed for stimulus identification data (e.g., Ashby & Perrin, 1988; Keren & Baggen, 1981; Luce, 1963a; Nakatani, 1972; Shepard, 1957; Townsend, 1971).1Ypically, these models attempt to predictPj/i' the probability of response j when stimulus i is presented. The models are distinguished by different submodels assumed for Pjli' Two major classes of models have been proposed. (We exclude, from our account, the more recently proposed general recognition model by Ashby and Perrin, 1988, since it is treated in Chaps. 6-8, and 16. Also, see Ashby and Lee, 1991.) One class is similarity-choice models, and the other is sophisticated guessing models (J. E. K. Smith, 1980; Townsend & Landon, 1982).
