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Concurrent variable-interval variable-ratio schedules in a dynamic choice environment.

Matthew C Bell1, William M Baum2

  • 1Santa Clara University.

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|November 8, 2017
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Summary
This summary is machine-generated.

This study examined dynamic choice behavior using concurrent variable-interval variable-ratio schedules. Findings show similar performance to concurrent variable-interval variable-interval schedules, suggesting choice is best understood as time allocation.

Keywords:
boutschoice dynamicsmatching lawmultiscale viewpigeonstime allocationtime scalevisits

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Area of Science:

  • Behavioral Psychology
  • Animal Behavior
  • Operant Conditioning

Background:

  • Traditional operant choice studies use fixed schedules.
  • Recent research explores dynamic choice behavior across various time scales.
  • Concurrent variable-interval schedules are commonly used in dynamic choice research.

Purpose of the Study:

  • To examine performance on concurrent variable-interval variable-ratio schedules in a dynamic environment.
  • To compare this performance with concurrent variable-interval variable-interval schedules.
  • To extend previous findings on concurrent variable-interval variable-ratio schedules.

Main Methods:

  • Utilized a dynamic choice procedure with concurrent variable-interval variable-ratio schedules.
  • Analyzed behavior at different time scales (time-based and response-based).
  • Compared results with existing data on concurrent variable-interval variable-interval schedules.

Main Results:

  • Concurrent variable-interval variable-ratio and concurrent variable-interval variable-interval schedules showed strong performance similarities in dynamic choice.
  • Time-based measures indicated nearly identical performance between the two schedule types.
  • Behavior exhibited a
  • fix and sample
  • pattern, favoring richer alternatives.

Conclusions:

  • Choice behavior in dynamic environments is robust across different schedule types.
  • Time allocation appears to be a fundamental aspect of understanding choice.
  • The
  • fix and sample
  • strategy is a consistent finding in dynamic choice paradigms.