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Area of Science:

  • Behavioral economics
  • Social dynamics
  • Agent-based modeling

Background:

  • Coordination failures pose significant individual and societal problems.
  • The influence of individual mobility on coordination dynamics remains poorly understood.
  • Understanding these dynamics is crucial for effective policy interventions.

Purpose of the Study:

  • To experimentally investigate human behavior in a spatial coordination game with costly convention changes.
  • To analyze how mobility and information influence convention adoption and clustering.
  • To develop and validate a simulation model based on observed heuristics.

Main Methods:

  • Conducting a spatial pure coordination game experiment with human participants.
  • Implementing mobility within a spatial environment where participants can change conventions.
  • Introducing global information (number of individuals per convention) as an experimental manipulation.
  • Developing a computational model to simulate observed behaviors and heuristics.

Main Results:

  • Participants formed distinct, homogeneous clusters based on convention.
  • Each convention was adopted by approximately half of the individuals in the absence of global information.
  • Providing global information led to consensus in most, but not all, experimental runs.
  • A simulation model accurately replicated experimental findings, revealing underlying heuristics.

Conclusions:

  • Individual mobility, while leading to clustered conventions, does not inherently prevent coordination.
  • Global information significantly enhances the likelihood of achieving societal consensus.
  • The study provides a validated model and actionable insights for policymakers aiming to influence behavior in mobile populations.