Independence of response force and reinforcement rate on concurrent variable-interval schedule performance.
Response force and reinforcement rate each sway choice on their own, so adjust both when you build concurrent tasks.
01Research in Context
What this study did
Pigeons pecked two keys that ran on concurrent variable-interval schedules.
One key always needed a gentle peck. The other key sometimes needed a harder peck.
The team logged how often each key was pecked and how much force each peck used.
What they found
Birds spread their pecks in the same ratio as the reinforcement rate, even when one key took more effort.
The log of peck force and the log of reinforcers each predicted choice on their own.
Total force or total reinforcers did not predict choice; only the separate ratios mattered.
How this fits with other research
Llewellyn et al. (1976) first showed that making one response harder does not drop the overall rate on a single VI schedule. The new study moves the question to two schedules at once and finds the same rule holds.
Anonymous (1995) saw response rate fall when rats had to press harder on a single lever. The pigeon data look opposite, but the setups differ: one schedule versus two. With two keys, birds can slide toward the easier side without stopping work, so total rate stays steady.
Stancliffe et al. (2007) repeated the force test with mice and also saw mixed effects. Together the three papers tell us that harder responses do not punish behavior; they just shift where and how the animal responds.
Why it matters
When you set up choice programs, remember that effort is a separate variable from payoff. A communication button that needs a hard poke may be picked less often even if it earns the same treats. You can balance this by raising the rate of reinforcement for the harder response or by teaching a softer topography. Always measure both force and frequency so you do not miss a hidden bias.
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Join Free →Check the pressure needed for each button or switch in your choice array; if one takes markedly more force, raise its reinforcement rate or lower its force requirement and watch the split of responses shift.
02At a glance
03Original abstract
Five pigeons were trained over 43 experimental conditions on a variety of concurrent variable-interval schedules on which the forces required on the response keys were varied. The results were well described by the generalized matching law with log reinforcement ratios and log force ratios exerting independent (noninteractive) effects on preference. A further analysis using the Akaike criterion, an information-theoretic measure of the efficiency of a model, showed that overall reinforcement rate and overall force requirement did not affect preference. Unlike reinforcement rate changes, force requirement increases did not change the response rate on the alternate key, and an extension of Herrnstein's absolute response rate function for force variation on a single variable-interval schedule is suggested.
Journal of the experimental analysis of behavior, 1982 · doi:10.1901/jeab.1982.37-183