title: Pigeons' demand and preference for specific and generalized conditioned reinforcers in a token economy.
abstract: Pigeons' demand and preference for specific and generalized tokens was examined in a token economy. Pigeons could produce and exchange different colored tokens for food, for water, or for food or water. Token production was measured across three phases, which examined: (1) across-session price increases (typical demand curve method); (2) within-session price increases (progressive-ratio, PR, schedule); and (3) concurrent pairwise choices between the token types. Exponential demand curves were fitted to the response data and accounted for over 90% total variance. Demand curve parameter values, Pmax , Omax and α showed that demand was ordered in the following way: food tokens, generalized tokens, water tokens, both in Phase 1 and in Phase 3. This suggests that the preferences were predictable on the basis of elasticity and response output from the demand analysis. Pmax and Omax values failed to consistently predict breakpoints and peak response rates in the PR schedules in Phase 2, however, suggesting limits on a unitary conception of reinforcer efficacy. The patterns of generalized token production and exchange in Phase 3 suggest that the generalized tokens served as substitutes for the specific food and water tokens. Taken together, the present findings demonstrate the utility of behavioral economic concepts in the analysis of generalized reinforcement.
authors.affiliation: Reed College.
authors.forename: Lavinia
authors.initials: L
authors.lastname: Tan
authors.affiliation: Reed College.
authors.forename: Timothy D
authors.initials: TD
authors.lastname: Hackenberg
mesh_terms: D000818:Animals; D001070:Appetitive Behavior; D002755:Choice Behavior; D010856:Columbidae; D003216:Conditioning, Operant; D005793:Generalization, Psychological; D012055:Reinforcement Schedule; D014040:Token Economy
keywords: behavioral economics; concurrent schedules; demand analysis; generalized conditioned reinforcement; key peck; pigeons; progressive ratio schedules; token reinforcement