Crime, Punishment, and Evolution in an Adversarial Game

Abstract

We examine the game theoretic properties of a model of crime first introduced by Short, Brantingham, and D'Orsogna (Short et al. 2010) as the SBD Adversarial Game. We identify the rationalizable strategies and one-shot equilibria under multiple equilibrium refinements. We further show that SBD's main result about the effectiveness of defecting-punishers in driving the system to evolve to the cooperative equilibrium under an imitation dynamic does generalize to a best response dynamic, although the nature of this strategy's role differs significantly between the two dynamics. The analysis reveals that the positive externality in punishing crime in the SBD game converts the adversarial setting from a social dilemma to a coordination game. We provide policy implications and lessons learned about the evolution of cooperation more generally.

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Document Details

Document Type
Technical Report
Publication Date
Sep 13, 2012
Accession Number
ADA589643

Entities

People

  • Maria R D'Orsogna
  • Martin B Short
  • Michael McBride
  • Ryan Kendall

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • California
  • Cooperation
  • Crime
  • Criminals
  • Dynamics
  • Flow Fields
  • Law Enforcement
  • Mathematics
  • Motivation
  • Personal Information Managers
  • Probability
  • Social Sciences
  • Standards
  • Steady State
  • Switches
  • Switching
  • Trajectories

Fields of Study

  • Economics
  • Mathematics

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Game Theory.
  • Strategic Security Studies