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Suboptimal choice, reward-predictive signals, and temporal information.

Paul J Cunningham1, Timothy A Shahan1

  • 1Department of Psychology, Utah State University.

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Suboptimal choice behavior is driven by the temporal information from food-predictive signals. When signals for less rewarding options provide more temporal information, suboptimal choices increase.

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Area of Science:

  • Behavioral neuroscience
  • Decision-making research
  • Learning and conditioning

Background:

  • Suboptimal choice, preferring less food probability, is influenced by predictive food signals.
  • The role of temporal information in these signals is debated.
  • Existing research highlights the importance of stimuli signaling probabilistic food.

Purpose of the Study:

  • To explore how temporal information in food-predictive signals influences suboptimal choice.
  • To apply an information-theoretic approach to model this influence.
  • To provide a quantitative framework for understanding suboptimal choice.

Main Methods:

  • Reanalysis of existing data on suboptimal choice behavior.
  • Application of a temporal information-theoretic framework.
  • Modeling the influence of temporal information and primary reinforcement rate.

Main Results:

  • Preference in suboptimal choice tracks the relative temporal information from food-predictive signals.
  • Suboptimal choice emerges when the suboptimal alternative's signal offers more temporal information.
  • Competition between temporal information and reinforcement rate explains existing data.

Conclusions:

  • Temporal information conveyed by food-predictive signals is a key factor in suboptimal choice.
  • A formal, quantitative framework based on temporal information explains observed behavior.
  • The model integrates Pavlovian conditioning and conditioned reinforcement principles.