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Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
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Related Experiment Video

Updated: Apr 15, 2026

Straightforward Assay for Quantification of Social Avoidance in Drosophila melanogaster
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Obstacle avoidance in social groups: new insights from asynchronous models.

Simon Croft1, Richard Budgey2, Jonathan W Pitchford3

  • 1Department of Biology, University of York, Heslington, York YO10 5DD, UK National Wildlife Management Centre, Animal and Plant Health Agency (APHA), Sand Hutton Campus, York YO41 1LZ, UK.

Journal of the Royal Society, Interface
|April 3, 2015
PubMed
Summary
This summary is machine-generated.

Social structures in animal groups significantly impact obstacle avoidance. Heterogeneous groups with fewer influential individuals demonstrate better navigation, crucial for understanding collective motion and collision risks, such as with wind turbines.

Keywords:
birdcollision riskindividual-based modelobstacle avoidancesocial networkwind turbine

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Area of Science:

  • Collective motion and animal behavior
  • Computational modeling of social dynamics
  • Ecological risk assessment

Background:

  • Successful obstacle avoidance is critical for mobile animals.
  • Limited understanding of how social behavior influences collective obstacle avoidance.
  • Existing models often overlook social structure in group movement.

Purpose of the Study:

  • To develop an agent-based model for social movement incorporating group structure.
  • To investigate the relationship between social features and obstacle avoidance.
  • To assess collision risk dynamics in relation to information transfer and social networks.

Main Methods:

  • Developed an asynchronous individual-based model for social movement.
  • Incorporated social structure and network topologies into the model.
  • Analyzed group navigation dynamics and collision risk under varying social conditions.

Main Results:

  • Group size exhibits a nonlinear effect on collision risk.
  • Social heterogeneity enhances obstacle avoidance capabilities.
  • Groups with fewer influential individuals show improved obstacle avoidance.

Conclusions:

  • Social structure plays a significant role in collective obstacle avoidance.
  • Heterogeneity and reduced influence of specific individuals improve navigation.
  • Findings have implications for understanding bird flock collisions with wind turbines, necessitating new analytical methods.