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Token reinforcement: Translational research and application.

Timothy D Hackenberg1

  • 1Reed College.

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|February 23, 2018
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Summary
This summary is machine-generated.

This review organizes token reinforcement systems research by behavioral functions and economic variables. Bidirectional interplay between lab and applied research advances token economy science.

Keywords:
behavioral economicscomparative analysisreviewtoken economytoken reinforcementtranslational research

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Area of Science:

  • Behavioral Science
  • Psychology
  • Economics

Background:

  • Token reinforcement systems are widely used in various settings.
  • Existing research lacks a cohesive organizational framework.
  • Understanding behavioral functions and economic variables is key.

Purpose of the Study:

  • To provide an integrative review of token reinforcement systems research.
  • To organize findings based on behavioral functions and economic variables.
  • To identify research gaps and application opportunities.

Main Methods:

  • Literature review of token reinforcement systems research.
  • Functional taxonomy based on behavioral functions and economic variables.
  • Analysis of findings across species and settings.

Main Results:

  • A functional taxonomy effectively organizes diverse research findings.
  • Identified gaps in research and areas for application.
  • Highlighted the importance of bidirectional interplay between lab and applied research.

Conclusions:

  • Token reinforcement systems research benefits from a bidirectional approach.
  • Applied research can drive theoretical advancements in token economies.
  • This framework aids in setting the scientific research agenda.