面向复杂多阶段任务的多活性代理系统活性度量化策划方法  

Multi-Living Agent System Oriented Quantitative Method and Planning Based on Complex Multi-Stage Tasks

作　　者：王越[1] 吴建光[1] 胡进[1] 贾丽娟[1] WANG Yue;WU Jian-guang;HU Jin;JIA Li-juan(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China)

机构地区：[1]北京理工大学信息与电子学院,北京100081

出　　处：《北京理工大学学报》2018年第7期703-708,共6页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(61421001;61331021)

摘　　要：针对在"互联网+"发展大背景下,复杂信息系统须完成任务往往具有多阶段特征变化、复杂度高等特点(以下简称"任务").提出一种面向复杂多阶段任务的多活性代理系统活性度量化策划方法,采用随机服务系统理论,建立"系统"服务运行模型,并依此进行服务活性度量化计算及系统策划.所提方法解决了弱先验信息获得条件下多活性代理系统活性度量化问题,具有一定普适性.Multi-living agent theory has been a powerful tool for complex information system,where system living degree is an important index.With the boom of ＂Internet ＋＂,the tasks achieved by complex information system always possess the characteristics as high complexity,multi-stage feature variation,etc.To adapt to these features,a multi-living agent system oriented quantitative and planning method was proposed for complex multi-stage tasks,in which a system service model was built,service living degree was calculated,and a service strategy was designed based on stochastic service system theory.Results show that,the proposed method can solve the living degree quantization problem for multi-living agent system in the condition of weak prior information,validating its usefulness in practical situation.

关 键 词：多活性代理 活性度计算 随机服务系统 复杂多阶段任务 

分 类 号：N941.91[自然科学总论—系统科学]