Bayesian analysis of foraging by pigeons (Columba livia).
In this article, the authors combine models of timing and Bayesian revision of information concerning patch quality to predict foraging behavior. Pigeons earned food by pecking on 2 keys (patches) in an experimental chamber. Food was primed for only 1 of the patches on each trial. There was a constant probability of finding food in a primed patch, but it accumulated only while the animals searched there. The optimal strategy was to choose the better patch first and remain for a fixed duration, thereafter alternating evenly between the patches. Pigeons were nonoptimal in 3 ways: (a) they departed too early, (b) their departure times were variable, and (c) they were biased in their choices after initial departure. The authors review various explanations of these data.
Killeen
P R
PR
Department of Psychology, Arizona State University, Tempe 85287, USA. killeen@asu.edu
Palombo
G M
GM
Gottlob
L R
LR
Beam
J
J
D000818:Animals; D001070:Appetitive Behavior; D001499:Bayes Theorem; D002755:Choice Behavior; D005247:Feeding Behavior; D009042:Motivation; D009949:Orientation; D011337:Probability Learning; D012055:Reinforcement Schedule