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Matching by fixing and sampling: a local model based on internality.

Vladimir A Lefebvre1, Federico Sanabria

  • 1School of Social Sciences, University of California, Irvine, CA 92697, United States. valefebv@uci.edu

Behavioural Processes
|February 20, 2008
PubMed
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This study introduces a new model for understanding choice behavior in reinforcement schedules. It explains how organisms balance preferred and alternative options, predicting outcomes based on immediate and long-term reinforcement effects.

Area of Science:

  • Behavioral psychology
  • Reinforcement learning theory

Background:

  • Traditional matching theory describes undermatching and overmatching via the Generalized Matching Law.
  • Recent theories propose a 'mostly fixing' policy with occasional sampling of alternative schedules.

Purpose of the Study:

  • To develop a model of local performance that predicts the global outcomes of the 'mostly fixing' policy.
  • To incorporate both immediate and long-term effects of reinforcement on behavior.

Main Methods:

  • Proposed a novel model for local performance in concurrent reinforcement schedules.
  • Modeled long-term reinforcement effects as changes in the organism's internal state.
  • Formalized the model analogously to the Axiom of Repeated Choice.

Main Results:

Related Experiment Videos

  • The model predicts global outcomes based on immediate and long-term reinforcement effects.
  • It offers a mechanistic explanation for deviations from strict matching.

Conclusions:

  • The developed model provides a framework for understanding complex choice behaviors.
  • It integrates immediate and enduring effects of reinforcement, advancing reinforcement theory.