外包平台任务匹配博弈:量子化策略研究  

Task Matching Game in Outsourcing Platform:a Quantized Strategy

作　　者：张喜征[1] 刘阳 丁笑音 ZHANG Xizheng;LIU Yang;DING Xiaoyin(School of Business Administration,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学工商管理学院,长沙410082

出　　处：《复杂系统与复杂性科学》2024年第4期115-125,133,共12页Complex Systems and Complexity Science

基　　金：教育部人文社会科学规划基金(21YJA630115);国家自然科学基金(71571066)。

摘　　要：为解决任务外包中匹配不精准、委托代理间信任度低以及“跳单”等问题,运用量子博弈方法,以量子化过程扩张参与者策略空间,通过累积分布函数处理为贴近度形式描述了任务匹配“纠缠”,研究发现在最低能级状态达成时对各参与方具有pareto均衡解。To address issues such as poor matching,low trust between principal agents,and jump-dealing in task outsourcing,quantum game methods are used to expand the participant strategy space through a quantization process.The task matching"entanglement"is described in the form of closeness degree by processing the cumulative distribution function,and a pareto equilibrium solution for each participant is achieved at the lowest energy level state.

关 键 词：外包平台 任务匹配 量子博弈 量子纠缠 

分 类 号：F224[经济管理—国民经济] O221[理学—运筹学与控制论]