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The microanalysis of fixed-interval responding.

G D Gentry, B Weiss, V G Laties

    Journal of the Experimental Analysis of Behavior
    |March 1, 1983
    PubMed
    Summary
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    Fixed-interval schedules in pigeons show scalloped patterns not from acceleration, but from pauses and sequential dependencies in response times. Behavior can be classified into postreinforcement pause, interim, and terminal states.

    Area of Science:

    • Behavioral science
    • Animal behavior
    • Operant conditioning

    Background:

    • Fixed-interval (FI) schedules are widely studied in behavioral analysis and pharmacology.
    • The controlling variables and behavioral patterns in FI schedules are not fully understood.
    • Pigeon behavior under FI schedules is a common model for studying reinforcement.

    Purpose of the Study:

    • To examine the microstructure and superstructure of pigeon behavior under fixed-interval 5- and 15-minute schedules.
    • To clarify the variables controlling the "scalloped" pattern of responding.
    • To identify distinct behavioral states within the interval.

    Main Methods:

    • Utilized pigeons as subjects.
    • Employed fixed-interval 5-minute and 15-minute schedules of food reinforcement.

    Related Experiment Videos

  • Analyzed the microstructure of responding, focusing on interresponse times (IRTs).
  • Examined sequential dependencies between successive IRTs.

    • Main Results:

    • The "scalloped" pattern of fixed-interval responding arises from renewed pausing early in the interval, not smooth acceleration.
    • Interresponse time (IRT) analyses showed no evidence of acceleration.
    • A sequential dependency was found, with alternation between shorter and longer IRTs.
    • Early in the interval, there was a high frequency of short IRTs, indicating pausing.

    Conclusions:

    • Fixed-interval behavior can be categorized into three distinct states: postreinforcement pause, interim behavior, and terminal behavior.
    • The typical "scalloped" pattern is a composite of these behavioral states.
    • Understanding these states provides a more nuanced view of reinforcement control.