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An Evolutionary Model of For-profit Enforcement and Pervasive Law-violation

机译:一种营利利事和普遍违规行为的进化模型

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Pervasive law-violation, the committing of certain illegal behavior by most individuals, exists in many fields, such as the overloading of trucks, pollution-discharge of chemical companies, etc., in some societies especially developing economies. For-profit enforcement is considered to be one possible reason for this phenomenon. This causality is articulated using an evolutionary model. There are two types of agents in this model, the first type is civilians who are bounded rational, and decide on whether to abide a law by learning from each other in a short time horizon; the other type is the law enforcement agency, who has higher rationality, and will choose optimal inspection frequency and punishment strength to maximize their payoff in a long time horizon, with the knowledge of how the civilians update their strategies. It is revealed that, if the enforcement agency can obtain benefit from the fines collected in the enforcement, their optimal choice is not to enforce the law strictly, but to adopt a moderate inspection frequency and punishment strength, because this induces more civilians to violate the law and brings the agency higher income. However, this intended lenient enforcement leads to a pervasive law-violation in the society.
机译:普遍的违法行为,大多数个人的某些非法行为的违法行为存在于许多领域,例如卡车的过载,化学公司的过载,化学公司等,特别是发展经济体。营利性执行被认为是这种现象的一种可能的原因。这种因果关系使用进化模型阐明。在这一模型中有两种类型的代理商,第一种类型是被束缚理性的平民,并决定是否在短时间地平线中彼此学习遵守法律;其他类型是执法机构,具有更高的合理性,并将选择最佳的检查频率和惩罚力量,以便在长时间的地平线上最大化他们的回报,了解平民如何更新其战略。据悉,如果执法机构可以从执法中收集的罚款获得福利,他们的最佳选择是严格执行法律,而是采取适度的检查频率和惩罚力量,因为这会让更多的平民违反法律并带来了更高的收入。然而,这一目标宽松执法导致社会违反违规行为。

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