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A contextual model of concurrent-chains choice.

R C Grace

    Journal of the Experimental Analysis of Behavior
    |January 1, 1994
    PubMed
    Summary
    This summary is machine-generated.

    A new contextual choice model quantitatively explains behavior in concurrent chains, extending the generalized matching law. This model successfully predicts pigeon behavior by considering how context influences choices, validating matching law principles.

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    Area of Science:

    • Behavioral science
    • Animal behavior
    • Quantitative psychology

    Background:

    • The generalized matching law is a fundamental principle in behavioral economics.
    • Concurrent chains schedules involve initial links leading to terminal links, presenting complex choice scenarios.
    • Previous models struggled to quantitatively capture context effects in concurrent chains.

    Purpose of the Study:

    • To propose a quantitative model extending the generalized matching law to concurrent chains.
    • To incorporate context effects on terminal-link sensitivity into a choice model.
    • To test the model's predictive power using existing empirical data.

    Main Methods:

    • Developed a contextual choice model based on the ratio of time spent in terminal and initial links.

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  • Fitted the model to 92 concurrent-chains data sets from 19 published studies.
  • Assessed the model's ability to account for variance in pigeons' relative initial-link responding.

    • Main Results:

    • The contextual choice model accounted for 90% of the variance in pigeons' relative initial-link responding across studies.
    • The model's predictions align with the delay-reduction hypothesis.
    • The model demonstrates quantitative viability of matching law analysis for concurrent chains.

    Conclusions:

    • The proposed contextual choice model provides a robust quantitative explanation for behavior under concurrent chains.
    • Contextual variables, specifically time spent per reinforcement, are crucial for understanding choice.
    • The model integrates concurrent schedules and concurrent chains within a unified matching law framework.