title: The discrimination of relative frequency by pigeons.
abstract: Five experiments addressed the issue of how pigeons learn to discriminate the relative frequency of stimuli. During a sampling period, three different stimuli (keylights) were presented serially, in mixed order, and with different frequencies. During a choice period, the stimuli were presented simultaneously, and reinforcement was arranged for choosing the stimulus that was presented the least number of times during the sample. The results showed that (a) the overall proportion of correct choices was always above chance levels; (b) the likelihood of a correct choice decreased with the serial position of the correct stimulus, a negative recency effect; (c) when the last three stimuli of the sample were constrained to be one of each kind, the negative recency effect decreased but errors became more likely when the correct stimulus occurred early in the sample, a negative primacy effect; (d) accurate performance generalized to new and larger samples; and (e) under some conditions the probability of a correct choice was independent of the serial position of the correct stimulus. The serial position curves suggest that in a least frequent discrimination task, two processes determine how the least frequent stimulus controls behavior: a passive decay process (the stimulus loses its effectiveness with time since its last occurrence), and a residual salience process (when the stimulus occurs in the first position it may decay to a higher asymptote than when it occurs in later positions.
authors.affiliation: Department of Psychology, Indiana University, Bloomington 47405, USA. AMachado@Indiana.edu
authors.forename: A
authors.initials: A
authors.lastname: Machado
authors.forename: M
authors.initials: M
authors.lastname: Cevik
mesh_terms: D000818:Animals; D001070:Appetitive Behavior; D001288:Attention; D003118:Color Perception; D010856:Columbidae; D004193:Discrimination Learning; D005793:Generalization, Psychological; D009949:Orientation; D011337:Probability Learning; D011340:Problem Solving; D012691:Serial Learning