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Awareness-Based Learning Model to Improve Cooperation in Collaborative Distributed Environments

机译:基于意识的学习模型可改善协作分布式环境中的合作

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In the great family of distributed applications, collaborative systems are distinguished by the fact that users, usually agents, are working together to fulfill a common goal. Therefore they have a critical need to interact closely with each other through: information exchange, sharing of applications, control of some over others, and sharing computer resources, among others. However, the success of achieving the common goal depends on the implementation of appropriate collaborations in these dynamic distributed environments. But proper collaborations also depend on several factors that have to do, mainly, with the way in which the environment is at any given time, as well as provide answers to questions like: "With whom it must collaborate?" "Who should collaborate?" On the other hand, awareness is a process where users recognize each other's activities with the promise of co-presence, for example, "What are they doing?", "Where are they?" This paper describes a learning model for collaborative distributed environments that takes into account the experience of awareness collaborations occurring in the environment for achieving the most appropriate future awareness situations.
机译:在庞大的分布式应用程序家族中,协作系统的特征在于用户(通常是代理)正在共同努力实现一个共同的目标。因此,他们迫切需要通过以下方式彼此密切互动:信息交换,应用程序共享,对某些应用程序的控制以及共享计算机资源。但是,能否实现共同目标取决于在这些动态分布式环境中实施适当的协作。但是,适当的协作还取决于几个因素,这些因素主要取决于环境在任何给定时间的方式,以及提供诸如“必须与谁进行协作?”之类的问题的答案。 “谁应该合作?”另一方面,意识是一个过程,在此过程中,用户以共同存在的方式认可彼此的活动,例如“他们在做什么?”,“他们在哪里?”。本文介绍了一种用于协作分布式环境的学习模型,该模型考虑了在环境中进行的意识协作的经验,以实现最合适的未来意识状况。

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