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A runs-test algorithm: contingent reinforcement and response run structures.

Yosuke Hachiga1, Takayuki Sakagami

  • 1Department of Psychology, Keio University, 2-15-45, Mita, Minato-ku, Tokyo 108-8345, Japan. yosuke_hachiga@hotmail.com

Journal of the Experimental Analysis of Behavior
|August 3, 2010
PubMed
Summary
This summary is machine-generated.

This study shows that reinforcement contingency can eliminate sequential dependencies in rat lever choices. Modifying reinforcement schedules effectively reduced predictable patterns in animal behavior.

Keywords:
behavioral variabilitylever pressmutual uncertaintyratsequential dependencythe runs test

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Area of Science:

  • Behavioral science
  • Animal behavior research
  • Operant conditioning

Background:

  • Sequential dependencies in animal choices can be influenced by reinforcement schedules.
  • Understanding these dependencies is key to modeling decision-making processes.

Purpose of the Study:

  • To investigate the effect of a runs-test algorithm on reducing sequential dependencies in rat lever choices.
  • To determine if manipulating reinforcement contingency can eliminate first-order dependencies.

Main Methods:

  • Four rats were trained using a runs-test algorithm to reinforce lever choices based on the last 20 responses.
  • Experiment 1 used stimulus lights to cue reinforcement opportunities, with food for correct choices and blackout for incorrect ones.
  • Experiment 2 removed cueing and altered the reinforcement criterion to a percentile score.

Main Results:

  • Both experiments successfully eliminated first-order dependencies in all subjects' lever choices.
  • Reinforcement contingency was found to significantly reduce sequential dependencies.
  • Choice behavior approximated biased coin flipping in most subjects.

Conclusions:

  • Reinforcement contingency is a critical factor in shaping sequential dependencies in animal behavior.
  • The runs-test algorithm and modified reinforcement criteria effectively controlled response patterns.
  • Findings suggest that predictable choice patterns are malleable through experimental manipulation.