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A quantitative analysis of chain-schedule performance.

M Davison, D McCarthy

    Journal of the Experimental Analysis of Behavior
    |January 1, 1989
    PubMed
    Summary
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    This study on pigeon behavior found that changes in reinforcer rates within a complex schedule significantly impacted response rates across different links. These findings offer insights into behavioral economics and schedule-controlled behavior.

    Area of Science:

    • Behavioral Psychology
    • Operant Conditioning
    • Animal Behavior

    Background:

    • Chain schedules of reinforcement are fundamental in understanding complex behavior.
    • Previous research has explored concurrent and chained schedules, but systematic variations in reinforcer rates present unique challenges.
    • Understanding how reinforcer rate changes affect behavior is crucial for developing predictive models.

    Purpose of the Study:

    • To investigate the effects of systematically varying reinforcer rates in a concurrent-chain variable-interval schedule on pigeon behavior.
    • To extend previous analyses of chain-schedule performance.
    • To identify key variables for a quantitative model of schedule-controlled behavior.

    Main Methods:

    • Six pigeons were trained on a concurrent-chain variable-interval schedule.

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  • Reinforcer rates in different schedule links were systematically manipulated.
  • Response rates across all schedule components were recorded and analyzed.

    • Main Results:

    • Increased reinforcer rates in the second link of the chain elevated response rates in both links while decreasing concurrent schedule responding.
    • Elevated reinforcer rates in the first link increased responding in that link but decreased responding in the second link.
    • Increased reinforcer rates in the concurrent right-key schedule decreased responding in the first chain link without affecting the second link.

    Conclusions:

    • The study demonstrates complex interactions between reinforcer rates and response allocation in concurrent-chain schedules.
    • Observed systematic changes in obtained reinforcer rates, even with constant arranged schedules, highlight the dynamic nature of the experimental conditions.
    • The complexity of the results precluded a quantitative analysis, underscoring the need for more sophisticated models.