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Concurrent fixed-interval variable-ratio schedules and the matching relation.

D P Rider

    Journal of the Experimental Analysis of Behavior
    |November 1, 1981
    PubMed
    Summary
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    Rats under concurrent schedules showed a bias toward variable-ratio reinforcement over fixed-interval schedules. They spent more time and effort on variable-ratio tasks, demonstrating undermatched response and time ratios to reinforcement ratios.

    Area of Science:

    • Behavioral psychology
    • Animal behavior studies
    • Operant conditioning

    Background:

    • Concurrent schedules of reinforcement are common in behavioral research.
    • Understanding how animals allocate responses between different schedules is crucial for behavioral analysis.
    • Previous research has explored matching laws in various reinforcement paradigms.

    Purpose of the Study:

    • To investigate how rats allocate responding and time under concurrent fixed-interval (FI) and variable-ratio (VR) schedules of food reinforcement.
    • To analyze the obtained reinforcement and response/time ratios using Baum's generalized matching equation.
    • To determine if subjects exhibit bias towards one schedule over the other.

    Main Methods:

    • Five rats were exposed to concurrent FI-VR schedules with varying interval and ratio values.

    Related Experiment Videos

  • A five-second changeover delay was implemented.
  • Data on response ratios and time spent on each schedule were collected and analyzed.

    • Main Results:

    • All rats undermatched both response and time ratios to reinforcement ratios.
    • A systematic bias favoring the variable-ratio schedule was observed across all subjects.
    • Response ratios undermatched reinforcement ratios less than time ratios, but showed greater bias.

    Conclusions:

    • Rats demonstrate a preference for variable-ratio over fixed-interval schedules when both are available concurrently.
    • Undermatching and bias are key features of response allocation under these conditions.
    • The findings align with and extend the generalized matching equation in complex reinforcement scenarios.