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Animal behavior in probabilistic choice tasks, like the two-armed bandit, follows a simple rule: rewards increase choice probability, nonrewards decrease it. This behavior aligns with satisficing, not other choice theories.

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Area of Science:

  • Behavioral economics
  • Animal cognition
  • Reinforcement learning

Background:

  • Subjects repeatedly choose between probabilistic reward alternatives (two-armed bandit).
  • Behavior is influenced by reward and nonreward outcomes.
  • A simple stochastic choice rule involves probability changes based on outcomes (reward following).

Purpose of the Study:

  • To investigate the underlying principles of animal choice behavior in probabilistic reward scenarios.
  • To determine if animal behavior aligns with satisficing principles.
  • To compare experimental findings with existing theories of free-operant choice.

Main Methods:

  • Experimental manipulation of probabilistic reward schedules.
  • Theoretical modeling of choice behavior.
  • Comparison of observed behavior with predictions from Bush-Mosteller, molar maximization, momentary maximizing, and melioration (matching) theories.

Main Results:

  • Animal subjects exhibit source independence: reward/nonreward effects on choice probability are independent of the specific response.
  • Animal subjects exhibit effect-ratio invariance: reward and nonreward effects maintain a constant ratio under fixed conditions.
  • These properties align with the definition of satisficing.

Conclusions:

  • Animal choice behavior in probabilistic settings is best described by satisficing.
  • Existing theories like Bush-Mosteller and melioration (matching) do not fully predict or are inconsistent with the observed behavior.