QQ客服 官方微博 反馈留言

	Learning communication in interactive dynamic influence diagrams
	Zeng, Yifeng ; Mao, Hua ; Doshi, Prashant ; Pan, Yinghui ; Luo, Jian ; Ceng YF(曾一锋)
	2012
关键词	Intelligent agents Multi agent systems Planning
英文摘要	Conference Name:2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012. Conference Address: Macau, China. Time:December 4, 2012 - December 7, 2012.; IEEE; Communication is one of central activities in multiagent systems. It enables the knowledge sharing among multiple agents and improves the planning quality in a long run. In this paper, we study communication decision problems in the framework of interactive dynamic influence diagrams~(I-DIDs). I-DIDs are recognized probabilistic graphical models for sequential decision making in uncertain multiagent settings. We extend the representation to explicitly model communication actions as well as their relations to other variables in the domain. The challenging work is on developing an incentive mechanism that drives level 0 agents to learn communication while they act alone in a dynamic environment. We present solutions to the new model and show meaningful communication strategies in a multiagent problem domain. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/WI-IAT.2012.180
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86835]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Zeng, Yifeng,Mao, Hua,Doshi, Prashant,et al. Learning communication in interactive dynamic influence diagrams. 2012-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。