We-Plan: A software system for Mixed-Initiative Distributed Simultaneous (MDS) planning

Wei Chen, Alexander Grushin
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Abstract

A real-world technical challenge, called Mixed-Initiative Distributed Simultaneous (MDS) planning, has been introduced, explored and documented in a previous publication [4]. That work presented a prototype system called We-Plan, as a preliminary yet effective multi-agent solution to help human users carry out MDS planning in complex dynamic application domains. At this time, the We-Plan system has gone through a significant improvement and its functionality has reached an operational level that is beyond simple proof-of-concept, i.e., multiple geographically separated users engaged in a MDS planning mission may employ this software system to generate and manage their task plans, allocate selected tasks to other users based on their capability and availability, keep track of task execution status, and maintain an effective coordination and a high level shared situational awareness among all the mission participants. This paper further discusses the real-world challenges in MDS planning and presents the We-Plan solution in detail, including its key components and important software capabilities that enable effective, efficient and practical MDS planning in a representative use case.
We-Plan:一个用于混合主动分布式同步(MDS)规划的软件系统
一个现实世界的技术挑战,称为混合主动分布式同时(MDS)计划,已经在之前的出版物[4]中被介绍、探索和记录。该工作提出了一个名为We-Plan的原型系统,作为一个初步但有效的多智能体解决方案,帮助人类用户在复杂的动态应用领域中进行MDS规划。此时,We-Plan系统已经有了显著的改进,其功能已经达到了超越简单概念验证的操作水平,即从事MDS规划任务的多个地理上分散的用户可以使用该软件系统来生成和管理他们的任务计划,根据其他用户的能力和可用性将选定的任务分配给其他用户,跟踪任务执行状态。并在所有任务参与者之间保持有效的协调和高水平的共享态势感知。本文进一步讨论了MDS规划中的现实挑战,并详细介绍了We-Plan解决方案,包括其关键组件和重要的软件功能,这些功能可以在一个代表性用例中实现有效、高效和实用的MDS规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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