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Maintaining homeostasis by decision-making.

Christoph W Korn1, Dominik R Bach2

  • 1Department of Psychiatry, Psychotherapy, and Psychosomatics, University of Zurich, Zurich, Switzerland.

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Summary
This summary is machine-generated.

Organisms make decisions balancing immediate needs with future consequences. Biological principles, not economic models, better explain human choices in foraging tasks, considering starvation risk and expected outcomes.

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Area of Science:

  • Behavioral Economics
  • Neuroscience
  • Decision Science

Background:

  • Organisms must maintain energetic homeostasis, often involving choices with delayed consequences.
  • Human decision-making models often focus on endpoint utility, contrasting with biological principles emphasizing sustained energy levels.

Purpose of the Study:

  • To empirically test whether biological principles or economic models better explain human decision-making under risk.
  • To differentiate between models predicting choices based on sustained energy homeostasis versus endpoint utility maximization.

Main Methods:

  • A virtual foraging task was designed where participants chose between environments with probabilistic energy gains and losses over time.
  • Random walk mathematics were used to derive endpoint outcome distributions and equivalent lotteries.
  • Bayesian model comparison was employed to analyze participant choices in both foraging and economic (casino) frames.

Main Results:

  • Participant choices in both foraging and economic frames depended on both starvation probability and expected endpoint value.
  • Economic models based on statistical moments or rank-dependent utility could not explain the observed choices.
  • Decisions were better explained by models incorporating biological principles of maintaining energy homeostasis.

Conclusions:

  • Human decision-making, particularly under conditions of risk and delayed consequences, is better described by biological principles of energetic homeostasis.
  • Economic models focused solely on endpoint utility maximization are insufficient to capture the complexities of these choices.
  • Future research should integrate biological constraints into decision-making models.