{"title":"修正一个罪与罚的模型","authors":"Ariel Arbiser","doi":"10.5753/etc.2019.6401","DOIUrl":null,"url":null,"abstract":"We study a model of society consisting of agents and a government interacting according to decisions regarding cost-effective punishment of crime. We evaluate different strategies for the government in order to reduce the criminal activity, considering degrees of honesty and a possible cost for monitoring and apprehension. We extend a previous model by introducing a contagion effect for the degrees of honesty, and study properties which may lead to a crime-free society, including a game-theoretic formulation.","PeriodicalId":315906,"journal":{"name":"Anais do Encontro de Teoria da Computação (ETC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revising a Model of Crime and Punishment\",\"authors\":\"Ariel Arbiser\",\"doi\":\"10.5753/etc.2019.6401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study a model of society consisting of agents and a government interacting according to decisions regarding cost-effective punishment of crime. We evaluate different strategies for the government in order to reduce the criminal activity, considering degrees of honesty and a possible cost for monitoring and apprehension. We extend a previous model by introducing a contagion effect for the degrees of honesty, and study properties which may lead to a crime-free society, including a game-theoretic formulation.\",\"PeriodicalId\":315906,\"journal\":{\"name\":\"Anais do Encontro de Teoria da Computação (ETC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do Encontro de Teoria da Computação (ETC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/etc.2019.6401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do Encontro de Teoria da Computação (ETC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/etc.2019.6401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study a model of society consisting of agents and a government interacting according to decisions regarding cost-effective punishment of crime. We evaluate different strategies for the government in order to reduce the criminal activity, considering degrees of honesty and a possible cost for monitoring and apprehension. We extend a previous model by introducing a contagion effect for the degrees of honesty, and study properties which may lead to a crime-free society, including a game-theoretic formulation.
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