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Related Experiment Video

Updated: Jun 23, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

Modeling the dynamics of choice.

William M Baum1, Michael Davison

  • 1University of California, Davis, USA. wbaum@sbcglobal.net

Behavioural Processes
|May 12, 2009
PubMed
Summary
This summary is machine-generated.

A new linear-operator model accurately predicts choice dynamics in concurrent variable-interval schedules. Reinforcer sequence changes shifted choice behavior, with model parameters reflecting changeover delay and food delivery rates.

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Area of Science:

  • Behavioral science
  • Animal behavior research
  • Operant conditioning

Background:

  • The matching relation describes how response rates correspond to reinforcer rates.
  • Understanding the dynamics of choice is crucial for behavioral analysis.
  • Previous models often derive choice from comparisons between alternatives.

Purpose of the Study:

  • To introduce and validate a simple linear-operator model for choice dynamics.
  • To predict how changes in reinforcer sequences affect inter-food choice.
  • To analyze the influence of changeover delay and overall food delivery rate on choice behavior.

Main Methods:

  • Subjects chose between concurrent variable-interval schedules.
  • Seven different pairs of schedules were used, delivering 12 food rewards each.
  • No signals indicated which schedule pair was active, measuring local choice.

Main Results:

  • The linear-operator model accurately described and predicted observed choice dynamics.
  • Shifts in obtained reinforcer sequences predictably altered choice to favor one alternative.
  • Model parameters corresponded to experimental manipulations: asymptote for changeover delay, rate of approach for food delivery rate differences.

Conclusions:

  • The proposed linear-operator model effectively captures choice dynamics.
  • Choice is treated as a primary dependent variable, aligning with molar behaviorism.
  • The model provides a framework for understanding how reinforcer contingencies shape choice behavior.