基于多智能体的协同研讨关键技术研究
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摘要
综合集成研讨厅中协同研讨系统是帮助专家交流观点、协同工作、共享资源并最终涌现群体智慧的重要模块。针对传统C/S模式在软件灵活性、可扩展性上的不足,设计综合集成研讨厅中协同研讨系统的多智能体架构,以及智能体的各种行为。提出基于移动智能体的协同研讨场景自适应构建技术,当用户进入协同研讨场景时将研讨所需的各种智能体移动到客户端并进行组装。在此基础上提出基于ACL通信的工具协同化方法,并设计协同研讨场景中的各种本体概念,将本体用于智能体的ACL消息中。使用JADE框架搭建出协同研讨原型系统,并以模拟场景进行了系统验证。实验表明,该架构增强了研讨客户端的灵活性与可扩展性,同时支持专家对工具的协同操作。
In HWME, collaborative work system is an important module to help experts exchange views, work together, share resources and eventually emerge group wisdom. In view of the shortcomings of traditional C/S mode in software flexibility and scalability, we designed a multi-agent framework of collaborative work system in HWME, as well as various behaviors of agents. This paper proposed an adaptive construction of collaborative work scene based on mobile agent. When the user entered the collaborative work scene, the various agents needed for the work were moved to the client and assembled. On this basis, we proposed a tool collaboration method based on ACL, and designed various ontology concepts in the collaborative work scene. The ontology was applied to the ACL messages of agents. A prototype system of collaborative work was built using JADE framework, and the system was validated by simulated scene. The experiments show that the framework enhances the flexibility and expansibility of the client and supports the collaborative operation of the tool by experts.
In HWME, collaborative work system is an important module to help experts exchange views, work together, share resources and eventually emerge group wisdom. In view of the shortcomings of traditional C/S mode in software flexibility and scalability, we designed a multi-agent framework of collaborative work system in HWME, as well as various behaviors of agents. This paper proposed an adaptive construction of collaborative work scene based on mobile agent. When the user entered the collaborative work scene, the various agents needed for the work were moved to the client and assembled. On this basis, we proposed a tool collaboration method based on ACL, and designed various ontology concepts in the collaborative work scene. The ontology was applied to the ACL messages of agents. A prototype system of collaborative work was built using JADE framework, and the system was validated by simulated scene. The experiments show that the framework enhances the flexibility and expansibility of the client and supports the collaborative operation of the tool by experts.
引文
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[2] Barthes J P,Fuckner M. ONTOCODESIGN:An exercise in using agents to cooperatively develop a CSCWD ontology[C]//IEEE International Conference on Computer Supported Cooperative Work in Design. IEEE,2015.
[3] Talib A M,Alomary F O. An Interactive Distance Education and E-Learning System Based on Multi Agent System Architecture[C]//2018 1st International Conference on Computer Applications&Information Security(ICCAIS). IEEE,2018:1-6.
[4] Kaeri Y,Sugawara K,Manabe Y,et al. Prototyping a meeting support system using ubiquitous agents[C]//IEEE International Conference on Computer Supported Cooperative Work in Design. IEEE,2015.
[5] Jones A,Moulin C,Barthes J P,et al. Personal assistant agents and multi-agent middleware for CSCW[C]//IEEE International Conference on Computer Supported Cooperative Work in Design. IEEE,2012.
[6]张永建,安鲁陵,谭昌柏,等.基于MBD和多Agent的飞机构件工装协同设计系统开发[J].航空制造技术,2017,530(11):87-92.
[7]王凯,刘毅,王垚,等.一种基于服务代理双总线架构的协同设计系统[J].计算机科学,2014,41(6A):472-473.
[8] Wooldridge M. Mobile Agents in Networking and Distributed Computing[M]. Wiley-Interscience,2012.
[9] Chen B,Cheng H H,Palen J. Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems[J]. Transportation Research Part C Emerging Technologies,2009,17(1):1-10.
[10] Aversa R,Martino B D,Rak M,et al. Cloud Agency:A Mobile Agent Based Cloud System[C]//2010 International Conference on Complex,Intelligent and Software Intensive Systems. IEEE,2010.
[11] Cucurull J,MartíR,Navarro-Arribas G,et al. Agent mobility architecture based on IEEE-FIPA standards[J]. Computer Communications,2009,32(4):712-729.
[12] Greenwood D,Lyell M,Mallya A,et al. The IEEE FIPA approach to integrating software agents and web services[C]//Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems. ACM,2007:276.
[13] McArthur S D J,Davidson E M,Catterson V M,et al.Multi-agent systems for power engineering applications-part2:technologies,standards and tools for building multi-agent systems[J]. IEEE Transactions on Power Systems,2007,22(4):1753-1759.