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Generic model based on constraint programming and multi-agent system for M2M services and agricultural decision support

机译:基于约束规划和多主体系统的M2M服务和农业决策支持的通用模型

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The growth of technological capabilities of mobile devices, the evolution of wireless communication technologies, and the maturity of embedded systems contributed to expand the Machine to machine (M2M) concept. M2M refers to data communication between machines without human intervention. So, M2M is the convergence of three families of technologies: mobile agent connected by wired network or by wireless network, with an information system capable of making decisions. The objective of this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. We start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System (MAS) and Constraint Programming (CP) paradigms. Then we show our approach for Constraint Programming and Multi-Agent System mixing based on controller agent concept. Also, we present some concrete constraints and agents to be used in a distributed architecture based on our proposed approach for M2M services and agricultural decision support. The platform will be built in Java using general interfaces of both MAS and CSP platforms and the conception is made by agent UML (AUML).
机译:移动设备的技术能力的增长,无线通信技术的发展以及嵌入式系统的成熟,都推动了机器对机器(M2M)概念的扩展。 M2M是指无需人工干预的机器之间的数据通信。因此,M2M是三个技术系列的融合:通过有线网络或无线网络连接的移动代理,以及具有决策能力的信息系统。本文的目的是提出用于农业决策支持系统的模型的总体方案。我们首先说明并说明对同时使用多代理系统(MAS)和约束编程(CP)范式的混合系统的需求。然后,我们展示了基于控制器代理概念的约束编程和多Agent系统混合方法。此外,我们基于M2M服务和农业决策支持的建议方法,提出了一些在分布式体系结构中使用的具体约束和代理。该平台将使用MAS和CSP平台的通用接口以Java形式构建,其概念由代理UML(AUML)提出。

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