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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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The effects of group adaptation on task performance: An agent-based approach.

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Reorganizing groups can improve performance if individual learning is limited. However, group adaptation can sometimes harm performance, as shown by agent-based modeling.

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Area of Science:

  • Organizational behavior
  • Computational social science

Background:

  • Organizations use group formation for complex tasks.
  • Groups adapt composition to meet task demands.
  • Prior research used experimental, survey, and fieldwork methods.

Purpose of the Study:

  • To investigate the effects of group adaptation on task performance using agent-based modeling.
  • To explore moderating factors like individual learning and task complexity.
  • To analyze longitudinal effects of group adaptation.

Main Methods:

  • Agent-based modeling and simulation.
  • Analysis of large variations in variables for generalizability.
  • Longitudinal analysis of group adaptation effects.

Main Results:

  • Reorganizing well-performing groups can be beneficial, contingent on restricted individual learning.
  • Group adaptation may yield adverse effects in certain scenarios.
  • Extensive analyses explain ambiguous prior research findings.

Conclusions:

  • Agent-based modeling offers unique insights into group adaptation dynamics.
  • The impact of group adaptation on performance is nuanced and context-dependent.
  • Findings contribute to understanding when and why group reorganization is effective or detrimental.