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An Awareness-Based Artificial Neural Network for Cooperative Distributed Environments

机译:基于意识的协作分布式环境人工神经网络

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Cooperative tasks to be successful in Collaborative Distributed Environments (CDE) require from users to be known. Before hard, which users are more suitable in the system to cooperate with, as well as which tools are needed to achieve the common goal in the system in a cooperative way. On the other hand, awareness allows users to be aware of others' activities each and every moment. Information about others' activities combined with their intentions and purposes could be used to improve cooperation in CDEs. This paper focuses on associating the concept of awareness with vector quantization techniques. It presents a novel non-supervised Artificial Neural Network (ANN) based model for CDE named CAwANN, which uses the information of awareness collaborations occurring in the environment in order to achieve the most suitable awareness-based collaboration / cooperation in the environment.
机译:要在协作分布式环境(CDE)中成功完成合作任务,需要从用户那里获知。在努力之前,哪些用户更适合与系统进行协作,以及需要哪些工具以协作方式实现系统中的共同目标。另一方面,意识可以使用户每时每刻都知道他人的活动。有关其他人活动的信息以及他们的意图和目的可用于改善CDE中的合作。本文着重于将意识概念与矢量量化技术相关联。它提出了一种新的基于CDE的非监督人工神经网络(ANN)模型,称为CAwANN,该模型使用在环境中发生的意识协作的信息,以便在环境中实现最合适的基于意识的协作/协作。

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