分布式自利agent任务分配算法  

Task Allocation for Distributed Self-Interested Agents

作　　者：伏明兰 王浩[1] 方宝富[1] 黄晓玲[1,2] FU Minglan;WANG Hao;FANG Baofu;HUANG Xiaoling(School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009;School of Computer and Information Engineering, Chuzhou University, Chuzhou 239000)

机构地区：[1]合肥工业大学计算机与信息学院,合肥230009 [2]滁州学院计算机与信息工程学院,滁州239000

出　　处：《模式识别与人工智能》2018年第12期1061-1073,共13页Pattern Recognition and Artificial Intelligence

基　　金：安徽省自然科学基金项目(No.1708085MF146);四川省科技支撑项目(No.2016GZ0389);中国教育部创新团队项目(No.IRT17R32)资助~~

摘　　要：在有自利agent参与的任务分配情形中,由于agent的自利性,导致各agent不能有效合作,影响agent的个体收益和系统总收益.解决该问题的一个途径是对agent所得的收益进行合理分配.文中基于分布式自利agent联盟技能博弈模型,提出自利agent的任务分配算法.模型中提供技能的服务agent和管理任务的agent都是自利的,分别处于不同的地理位置,具有不同的视野范围.算法为任务agent设计效益分配策略,合理分配自己的收益给所需的技能,任务分配结果在保证个体自利性的前提下获得较高的系统收益.仿真结果验证文中算法的有效性,并考察自利agent的视野范围对自利agent的个体收益和系统总收益的影响.In the task allocation with self-interested agents,the agents cannot cooperate effectively due to their selfishness and thus their individual revenues and system performance are decreased. To make a reasonable distribution of the utilities,a self-interested agent task allocation algorithm based on the task allocation model of a distributed self-interested agent coalitional skill game is proposed. The service agents and the task agents are self-interested. They are located in different geographic locations with different scopes of vision. The utility distribution strategies are designed for task agents to make them reasonably distribute their utilities to each required skill. The task allocation results guarantee a higher system revenue even if the agents are all self-interested. The final simulation results verify the effectiveness of the proposed algorithm and examine the impacts of the scope of vision of the selfinterested agents on their individual revenues and system performance.

关 键 词：多AGENT系统 自利agent 联盟技能博弈 任务分配 效益分配 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]