title: Stock optimizing: maximizing reinforcers per session on a variable-interval schedule.
abstract: In Experiment 1, 2 monkeys earned their daily food ration by pressing a key that delivered food according to a variable-interval 3-min schedule. In Phases 1 and 4, sessions ended after 3 hr. In Phases 2 and 3, sessions ended after a fixed number of responses that reduced food intake and body weights from levels during Phases 1 and 4. Monkeys responded at higher rates and emitted more responses per food delivery when the food earned in a session was reduced. In Experiment 2, monkeys earned their daily food ration by depositing tokens into the response panel. Deposits delivered food according to a variable-interval 3-min schedule. When the token supply was unlimited (Phases 1, 3, and 5), sessions ended after 3 hr. In Phases 2 and 4, sessions ended after 150 tokens were deposited, resulting in a decrease in food intake and body weight. Both monkeys responded at lower rates and emitted fewer responses per food delivery when the food earned in a session was reduced. Experiment 1's results are consistent with a strength account, according to which the phases that reduced body weights increased food's value and therefore increased subjects' response rates. The results of Experiment 2 are consistent with an optimizing strategy, because lowering response rates when food is restricted defends body weight on variable-interval schedules. These contrasting results may be attributed to the discriminability of the contingency between response number and the end of a session being greater in Experiment 2 than in Experiment 1. In consequence, subjects lowered their response rates in order to increase the number of reinforcers per session (stock optimizing).
authors.affiliation: Department of Psychology, American University, Washington, DC 20016.
authors.forename: A
authors.initials: A
authors.lastname: Silberberg
authors.forename: R
authors.initials: R
authors.lastname: Bauman
authors.forename: S
authors.initials: S
authors.lastname: Hursh
mesh_terms: D000818:Animals; D001070:Appetitive Behavior; D003216:Conditioning, Operant; D003657:Decision Making; D008253:Macaca mulatta; D008297:Male; D009042:Motivation; D011340:Problem Solving; D012055:Reinforcement Schedule