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Research on Incentive Mechanism for Agents under Asymmetric Information Condition

机译:不对称信息条件下试剂的激励机制研究

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Agents' speculation behaviors are series problems which need to be solved. Through mathematical models and game theory, this paper analyzes optimal incentive contracts between principals and agents under asymmetric information condition in order to solve the problems in establishing incentive mechanism for agents. The relationship between incentive and risk is dicussed and the best equilibrium between them is given. Supervision mechanism is introduced and analyzed in the design of incentive mechanism for agents. It expands the theoretical frame for incentive mechanism. The results are as follows: Supervision mechanism is related and complementary with incentive mechanism. Both can encourage or guide the agents to work hard towards common goals. Therefore, the function of the incentive mechanism and the supervision mechanism should be considered simultaneously in the design of incentive contracts for agents. It helps to prevent agents from speculating. Introduction of supervision mechanism into incentive mechanism not only results in theoretical innovation, but also has great application value in practice.
机译:代理商的猜测行为是需要解决的串联问题。通过数学模型和博弈论,本文分析了不对称信息条件下的原则和代理之间的最佳激励契约,以解决建立代理机制的激励机制问题。激励和风险之间的关系是暗示的,并且给出了它们之间的最佳均衡。介绍监管机制并分析了代理机构的激励机制。它扩展了激励机制的理论框架。结果如下:监督机制与激励机制有关和互补。两者都可以鼓励或指导代理商努力实现共同目标。因此,在代理商的激励合同设计中,应同时考虑激励机制和监督机制的函数。它有助于防止代理商猜测。将监督机制引入激励机制不仅导致理论创新,而且在实践中也具有很大的应用价值。

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