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Related Experiment Video

Updated: Mar 21, 2026

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
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Evolution of Swarming Behavior Is Shaped by How Predators Attack.

Randal S Olson, David B Knoester, Christoph Adami1

  • 1Michigan State University.

Artificial Life
|May 4, 2016
PubMed
Summary

Predators

Area of Science:

  • Evolutionary biology
  • Behavioral ecology
  • Computational intelligence

Background:

  • Animal grouping behaviors are crucial for social intelligence and have engineering applications.
  • Understanding selection pressures driving grouping behavior is key.
  • Evolutionary computation is increasingly used to model predator-prey dynamics.

Purpose of the Study:

  • To investigate the evolutionary drivers of animal grouping behavior.
  • To test Hamilton's selfish herd hypothesis using computational models.
  • To explore the role of predation strategies in the evolution of group defense.

Main Methods:

  • Utilized an evolutionary computation model of a predator-prey system.
  • Simulated coevolution between predators and prey.
Keywords:
Group behaviordensity-dependent predationdigital evolutionary modelevolutionary algorithmpredator attack modepredator-prey coevolutionselfish herd theory

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  • Analyzed the impact of predator attack strategies on prey grouping.

    • Main Results:

    • Predator attack strategy is critical for the evolution of the selfish herd.
    • Density-dependent predation effectively models Hamilton's 'domain of danger'.
    • Density-dependent predation provides sufficient selective pressure for prey to evolve selfish herd behavior.

    Conclusions:

    • The study corroborates Hamilton's selfish herd hypothesis in a digital evolutionary model.
    • Refined the assumptions of the selfish herd hypothesis regarding predator behavior.
    • Generalized the concept of 'domain of danger' to density-dependent predation.