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Area of Science:

  • Evolutionary game theory
  • Social cooperation dynamics
  • Animal behavior

Background:

  • Deterrence, preventing attacks via retaliation threats, is vital for social cooperation in animals and humans.
  • Credible threats are essential for deterrence, but costly retaliation challenges this in one-off interactions.
  • Reputation building is proposed to sustain deterrence in repeated interactions, yet information costs are overlooked.

Purpose of the Study:

  • To resolve the puzzle of how deterrence evolves despite costly retaliation.
  • To identify conditions under which deterrence can evolve and when it fails.
  • To explore the role of information availability in the success of deterrence.

Main Methods:

  • Game-theoretic modeling to analyze strategic interactions.
  • Agent-based simulations to observe emergent deterrence dynamics.
  • Analysis of information costs and their impact on deterrence stability.

Main Results:

  • Deterrence is not evolutionarily stable even with small information costs.
  • Rich information on defenders' past actions paradoxically leads to deterrence breakdown.
  • Minimal information about past actions can result in highly successful deterrence.

Conclusions:

  • Reputation-based deterrence requires careful consideration of information availability.
  • Minimal information environments may paradoxically foster more stable deterrence.
  • Findings may explain costly punishment, fairness, and the evolution of informal property rights.