Characteristics of implicit chaining in cotton-top tamarins (Saguinus oedipus).
In human cognition there has been considerable interest in observing the conditions under which subjects learn material without explicit instructions to learn. In the present experiments, we adapted this issue to nonhumans by asking what subjects learn in the absence of explicit reinforcement for correct responses. Two experiments examined the acquisition of sequence information by cotton-top tamarins (Saguinus oedipus) when such learning was not demanded by the experimental contingencies. An implicit chaining procedure was used in which visual stimuli were presented serially on a touchscreen. Subjects were required to touch one stimulus to advance to the next stimulus. Stimulus presentations followed a pattern, but learning the pattern was not necessary for reinforcement. In Experiment 1 the chain consisted of five different visual stimuli that were presented in the same order on each trial. Each stimulus could occur at any one of six touchscreen positions. In Experiment 2 the same visual element was presented serially in the same five locations on each trial, thereby allowing a behavioral pattern to be correlated with the visual pattern. In this experiment two new tests, a Wild-Card test and a Running-Start test, were used to assess what was learned in this procedure. Results from both experiments indicated that tamarins acquired more information from an implicit chain than was required by the contingencies of reinforcement. These results contribute to the developing literature on nonhuman analogs of implicit learning.
Department of Psychology, College of the Holy Cross, 1 College St., PO Box 75A, Worcester, MA 01610, USA. clocurto@holycross.edu
Charles
C
Locurto
Matthew
M
Gagne
Lauren
L
Nutile
D000818:Animals; D001245:Association Learning; D005260:Female; D008297:Male; D011337:Probability Learning; D011597:Psychomotor Performance; D011930:Reaction Time; D012054:Reinforcement, Psychology; D012452:Saguinus / Q000523:psychology*; D012691:Serial Learning