论文标题
基于代理的委托关系与隐藏行为的模型：关于异质记忆对性能的影响
An Agent-Based Model of Delegation Relationships With Hidden-Action: On the Effects of Heterogeneous Memory on Performance
论文作者
论文摘要
我们介绍了基于代理的主体与主体之间的授权关系模型，该模型基于Holmström引入的标准隐藏行动模型，并提供了一个模型，可用于进一步探索管理经济学中的理论主题，例如激励机制的效率。我们采用代理的概念，即，我们系统地将标准的隐藏行动模型转换为基于代理的模型。我们的建模方法可以放松标准隐藏式模型中包含的一些相当“英雄”的假设，我们特别关注与（i）有关环境信息以及（ii）校长和特工的认知能力（特别关注他们的学习能力及其记忆及其记忆力及其记忆）的假设）。我们的分析重点是从基于代理的模型内源性出现的激励方案的近距离和速度将其收敛到标准隐藏式模型提出的解决方案。另外，我们研究了稳定的解决方案是否可以从基于代理的模型变体中出现。结果表明，在稳定的环境中，紧急结果几乎可以达到标准隐藏动作模型提出的解决方案。令人惊讶的是，结果表明环境中的湍流会导致较早的时间段。
We introduce an agent-based model of delegation relationships between a principal and an agent, which is based on the standard-hidden action model introduced by Holmström and, by doing so, provide a model which can be used to further explore theoretical topics in managerial economics, such as the efficiency of incentive mechanisms. We employ the concept of agentization, i.e., we systematically transform the standard hidden-action model into an agent-based model. Our modeling approach allows for a relaxation of some of the rather "heroic" assumptions included in the standard hidden-action model, whereby we particularly focus on assumptions related to the (i) availability of information about the environment and the (ii) principal's and agent's cognitive capabilities (with a particular focus on their learning capabilities and their memory). Our analysis focuses on how close and how fast the incentive scheme, which endogenously emerges from the agent-based model, converges to the solution proposed by the standard hidden-action model. Also, we investigate whether a stable solution can emerge from the agent-based model variant. The results show that in stable environments the emergent result can nearly reach the solution proposed by the standard hidden-action model. Surprisingly, the results indicate that turbulence in the environment leads to stability in earlier time periods.
