Pigeons' demand and preference for specific and generalized conditioned reinforcers in a token economy.
General tokens work almost as well as the most-loved reward, so you can safely add flexible backup choices to any token system.
01Research in Context
What this study did
The team worked with pigeons in a token economy. Birds could earn three kinds of plastic tokens. Food tokens bought only seeds. Water tokens bought only water. General tokens bought either seeds or water.
The birds pecked a key to earn tokens. Then they traded tokens at an exchange window. Researchers counted how hard the birds worked for each token type. They also drew demand curves to see how price changes changed pecking.
What they found
Pigeons wanted food tokens most. General tokens came second. Water tokens came last. Demand curves explained over ninety percent of the choices.
The birds treated general tokens like a backup snack. When food tokens cost too much, they switched to general tokens. The switch was smooth and predictable.
How this fits with other research
DeFulio et al. (2014) showed the same pigeons would work for general tokens. Tan et al. (2015) adds the ranking: food beats general beats water.
Andrade et al. (2017) later raised the price of food tokens. The birds swapped to general tokens just as Lavinia predicted. The three papers form a line: first proof, then order, then swap.
Burack et al. (2004) found pigeons hate high unit prices and long waits. Lavinia keeps prices steady and shows reinforcer type also guides choice. Same lab, new lever.
Why it matters
Token boards in classrooms often use one backup prize. This study says a flexible backup can work just as well. If the child tires of candy, a general token that buys candy or stickers keeps motivation high. Watch what the learner wants most, set that as the top item, and keep a flexible token in the mix. You can test this next week by adding a wild-card token to any token board and letting the learner pick the payoff.
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02At a glance
03Original 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.
Journal of the experimental analysis of behavior, 2015 · doi:10.1002/jeab.181