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An Environment to Support Multi-Party Communications in Multi-Agent Systems

机译:支持多助理系统中多方通信的环境

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Two-party communication is the most-studied model to support interaction between two cognitive agents, whereas that is only one case of what an agent should be able to do. Multi-party communications enhance this model, by taking into account all the roles an agent can have in a communication. Nevertheless, there are no generic models and infrastructures that enable to apply multi-party communication in a standardized way. We emphasize that the environment, in the sense of a common medium for the agents, is a suitable paradigm to support multi-party communication. We propose a general and operational model called Environment as Active Support of Interaction (EASI), that enables each agent to actively modify the environment according to its communication needs. Algorithms are proposed and assessed with an example stemming from the ambient intelligence domain.
机译:双方通信是支持两个认知代理之间的相互作用的最习惯的模型,而这只是一个代理商应该能做的一个案例。多方通信增强此模型,通过考虑代理商可以在通信中拥有的所有角色。尽管如此,没有通用模型和基础架构,可以标准化方式应用多方通信。我们强调环境,在常见的代理人的常见媒体的意义上是一种适合支持多方沟通的范例。我们提出了一种称为环境的一般和操作模型,作为互动(EASI)的主动支持,使每个代理能够根据其通信需求进行积极修改环境。用来自环境智能域的示例提出和评估算法和评估算法。

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