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求解多智能体简单时态问题的算法

Algorithms for Solving the Multiagent Simple Temporal Problem
课程网址: http://videolectures.net/icaps2010_boerkoel_asmstp/  
主讲教师: Boerkoel Jr James C
开课单位: 密歇根大学
开课时间: 2010-11-15
课程语种: 英语
中文简介:
简单时间问题(STP)是解决集中式调度和规划问题的常用表示。然而,当调度代理与需要协调其某些活动的不同用户相关联时,诸如隐私和可伸缩性等考虑因素建议以更分布式的方式解决联合STP。本文在利用松耦合问题结构的STP算法最新进展的基础上,发展和评估了多代理STP算法。我们定义了具有可证明的隐私保证的多代理STP的分区,并且表明我们的算法可以利用这个分区,同时仍然可以在必须在代理之间协调的时间点上找到最严格的一致边界。我们还从经验上证明了我们的算法能够利用并发计算,从而比最先进的集中式方法更快地解决时间问题,并且能够对涉及大量松散耦合代理的问题进行可伸缩性。
课程简介: The Simple Temporal Problem (STP) is a popular representation for solving centralized scheduling and planning problems. When scheduling agents are associated with different users who need to coordinate some of their activities, however, considerations such as privacy and scalability suggest solving the joint STP in a more distributed manner. Building on recent advances in STP algorithms that exploit loosely-coupled problem structure, this paper develops and evaluates algorithms for solving the multiagent STP. We define a partitioning of the multiagent STP with provable privacy guarantees, and show that our algorithms can exploit this partitioning while still finding the tightest consistent bounds on timepoints that must be coordinated across agents. We also demonstrate empirically that our algorithms can exploit concurrent computation, leading to solution time speed-ups over state-of-the-art centralized approaches, and enabling scalability to problems involving larger numbers of loosely-coupled agents.
关 键 词: 时间问题; 可扩展性问题; 松耦合剂
课程来源: 视频讲座网
最后编审: 2021-02-03:nkq
阅读次数: 35