Abstract

Motivated by recent efforts by the criminal justice system to treat and rehabilitate nonviolent offenders rather than focusing solely on their punishment, we introduce an evolutionary game theoretic model to study the effects of “carrot and stick” intervention programs on criminal recidivism. We use stochastic simulations to study the evolution of a population where individuals may commit crimes depending on their past history, surrounding environment and, in the case of recidivists, on any counseling, educational or training programs available to them after being punished for their previous crimes. These sociological factors are embodied by effective parameters that determine the decision making probabilities. Players may decide to permanently reform or continue engaging in criminal activity, eventually reaching a state where they are considered incorrigible. Depending on parameter choices, the outcome of the game is a society with a majority of virtuous, rehabilitated citizens or incorrigibles. Since total resources may be limited, we constrain the combined punishment and rehabilitation costs per crime to be fixed, so that increasing one effort will necessarily decrease the other. We find that the most successful strategy in reducing crime is to optimally allocate resources so that after being punished, criminals experience impactful intervention programs, especially during the first stages of their return to society. Excessively harsh or lenient punishments are less effective. We also develop a system of coupled ordinary differential equations with memory effects to give a qualitative description of our simulated societal dynamics. We discuss our findings and sociological implications.

Highlights

  • The emergence of human cooperation is a subject of great interest within the behavioral sciences

  • We introduce a dynamic game-theoretic model to study how player choices change over time due to punishment after an offense, and due to possible post– punishment intervention given by third parties as prevention against future crimes, in the form of housing, job, training or family assistance

  • We present our numerical findings in the Results section where we derive a set of coupled ordinary differential equations with memory to describe the dynamics more succinctly

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Summary

Introduction

The emergence of human cooperation is a subject of great interest within the behavioral sciences. Some of the current hypotheses to explain large scale cooperation are based on player reciprocity, status, or altruistic and tit–for–tat behaviors between two actors [1,2,3,4]. One of the most endorsed theories includes third party punishment, where defectors are punished for following their self–serving interests [5,6]. Game theory has often been used as a tool to explore human or animal behavior since its mathematical framework allows for the study of the dynamics of players and their choices in a systematic, albeit simplified, way. Very little work has focused on studying recidivism by offenders after punishment and how prevention measures – and punishment – taken by third parties may improve recidivism rates and affect cooperation

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