AI workflow management in a collaborative environment

M. Cheatham, Michael T. Cox
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引用次数: 1

Abstract

Collaborative environments allow geographically distributed groups to work together to generate new knowledge. These systems contain many tools to facilitate collaboration, including workflow management systems (WfMS). WfMS allow multiple agents to work towards achieving a common goal by enabling communication between them. This paper presents a brief overview of collaborative environments in general, and then discusses the distinctive characteristics of current WfMS. We consider the utility of using techniques employed in next-generation grid-based WfMS in collaborative systems that are available today. Specifically, the idea of constructing workflows by applying artificial intelligence planning techniques to a user-specified goal is explored
协作环境下的人工智能工作流管理
协作环境允许地理上分散的小组一起工作以产生新的知识。这些系统包含许多促进协作的工具,包括工作流管理系统(WfMS)。WfMS允许多个代理通过实现它们之间的通信来实现共同的目标。本文简要介绍了协作环境的总体概况,然后讨论了当前WfMS的鲜明特征。我们考虑在当今可用的协作系统中使用下一代基于网格的WfMS所采用的技术的效用。具体来说,通过将人工智能规划技术应用于用户指定的目标来构建工作流的想法进行了探索
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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