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Foraging Path-length Protocol for Drosophila melanogaster Larvae
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Model-based planning in structured foraging environments.

Thea R Zalabak1, Laura A Bustamante1, Wouter Kool1

  • 1Department of Psychological & Brain Sciences, Washington University in St. Louis, 1 Brookings Drive CB 1125, St. Louis, MO 63130, USA.

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Summary
This summary is machine-generated.

Humans balance seeking rewards and planning for better ones. A new task shows people use environmental structure and consider alternatives when deciding to stay or leave, especially goal-directed individuals.

Keywords:
Cognitive controlDecision makingExplorationForagingModel-based controlPlanning

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Area of Science:

  • Decision-making and behavioral economics
  • Cognitive psychology
  • Computational neuroscience

Background:

  • Maximizing reward requires balancing exploitation of current options and exploration for better ones.
  • Optimal foraging theory's Marginal Value Theorem (MVT) offers a simple rule for stay/leave decisions based on expected vs. experienced rewards.
  • The MVT does not account for environmental structure or planning in foraging decisions.

Purpose of the Study:

  • To investigate how individuals incorporate environmental structure and planning into foraging decisions.
  • To explore the extent to which people use an internal model of task structure for stay/leave choices.
  • To examine the influence of goal-directedness on foraging strategy.

Main Methods:

  • Development of a novel structured foraging task.
  • Behavioral analysis of participant stay/leave decisions.
  • Computational modeling to assess the benefit of incorporating alternative option information.

Main Results:

  • Participant behavior generally aligned with the MVT but incorporated information about alternative reward options.
  • The tendency to consider alternatives was more pronounced in goal-directed individuals.
  • Computational models indicated that using alternative information is beneficial, modulated by choice stochasticity.

Conclusions:

  • The study introduces a new paradigm for studying decision-making in structured environments.
  • Foraging decisions are influenced by both immediate reward feedback and strategic planning.
  • Findings have implications for understanding the interplay between foraging behavior and goal-directed planning.