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Updated: Apr 28, 2026

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Social foraging with partial (public) information.

Ofri Mann1, Moshe Kiflawi1

  • 1Department of Life-Sciences, Ben-Gurion University, Eilat Campus, Eilat, Israel; The Interuniversity Institute for Marine Sciences, PO Box 469, Eilat, Israel.

Journal of Theoretical Biology
|June 10, 2014
PubMed
Summary
This summary is machine-generated.

Group foragers use social information to improve patch decisions. Even with partial awareness of companions, group size alone can guide efficient foraging, minimizing losses from poor patch exploitation.

Keywords:
Bayesian foragingGroup foragingInformation usePatch quality estimationPublic information

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Area of Science:

  • Behavioral Ecology
  • Computational Biology

Background:

  • Group foragers use public information to assess patch quality and optimize departure decisions.
  • Acquiring social information can incur costs, such as reduced individual search efficiency.

Purpose of the Study:

  • To present a Bayesian group-foraging model for partially-aware social foragers.
  • To investigate how foragers use group size to estimate remaining resources and inform patch departure.

Main Methods:

  • Developed a Bayesian model where foragers estimate patch quality based on the number of companions, not their success.
  • Patch departure rules were derived from direct estimates of remaining items, considering initial patch quality and group foraging success.

Main Results:

  • Partially-aware foragers, with slower information acquisition, over-utilize poor patches compared to fully-aware foragers.
  • The model indicates that the loss in intake rates can be offset by a low cost for acquiring full public information.

Conclusions:

  • Group size provides sufficient information for social foragers to achieve optimal patch utilization.
  • The model is applicable to scenarios involving background resource depletion independent of consumer activity.