Description. The program produces response strings for statistical subjects acting in accord with the assumptions of the attention-retention theory of two choice visual discrimination learning and memory described by Fisher and Zeaman (1973), in user specified problem sequences. The theory generalizes the Zeaman and House (1963) attentional model of discrimination learning to include multiple looking with parallel processing of dimensions and cue significance feedback features, and adapts the multicomponent multiprocess model of human memory proposed by Atkinson and Shiffrin (1969) to the retention of learned items. A fundamental feature of the theory is the distinction developed by Atkinson and Shiffrin between structural features or fixed capacities of the memory system and the control processes or strategies available for their use in a particular task. The memory-control processes available in the program are the rehearsal-buffer size for each dimension and the probability of entering a new item into the rehearsal buffer to displace an old item. These two control processes are particularly useful in describing the results of discrimination learning analogues of continuous paired associate experiments. The program has been used to simulate results of experiments in discrimination learning and memory including dimensional shift, reversal, cue-blocking, recombination of cues, tests of component retention, proactive and retroactive interference, concurrent problems, and one- and two-dimensional item rehearsal capacity (see Fisher & Zeaman, 1973; McBane, 1976; Zieger, 1974, for these and other examples). The user specifies the trial-by-trial and session-by-session structure of the experiment to be simulated, the parameter value to be used, and type and magnitude of criterion for a trials-to-criterion design. Input. The program requests the following input. For each experiment to be simulated: the number of dimensions, the number of trials per session, the number of sessions per subject, the number of subjects to be run, and criterion run information, where applicable.