计算机科学与探索2012，Vol.6Issue(12)：1098-1108,11.DOI:10.3778/j.issn.1673-9418.2012.12.004
面向动态任务合作求解的联盟模型
Coalition Model for Dynamic Task Solving
摘要
Abstract
Agents increase capabilities and receive more repayment via coalition in multi-agent system. This paper focuses on the improvement of coalition model and coalition formation, and proposes a new coalition model CLAR (coalition model based on learning agent and role), which is based on ARG (agent, role, group) meta model and learning mechanism. It also proposes a two phrase coalition formation mechanism in CLAR model that adopts contract net as its protocol. Finally, the experimental results verify the effect of the role and learning mechanism in predator game, and the effect of two-phrase coalition formation in decreasing and controlling the communication cost.关键词
多Agent系统/联盟/捕食者问题/ARG元模型/合同网Key words
multi-agent system/ coalition/ predator game/ ARG meta model/ contract net分类
信息技术与安全科学引用本文复制引用
詹千熠,孙强,詹宇森,王崇骏,谢俊元..面向动态任务合作求解的联盟模型[J].计算机科学与探索,2012,6(12):1098-1108,11.基金项目
The National Natural Science Foundation of China under Grant Nos.60503021,60721002,60875038,61105069(国家自然科学基金) （国家自然科学基金）
the Science and Technology Support Program of Jiangsu Province of China under Grant Nos.BE2010180,BE2011171(江苏省科技支撑计划) （江苏省科技支撑计划）
the Scientific Research Foundation of Graduate School of Nanjing University No.2011CL07(南京大学研究生创新基金). （南京大学研究生创新基金）
