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A systematic method for building Internet of Agents applications based on the Linked Open Data approach

机译：基于链接的开放数据方法构建Agents应用程序Internet的系统方法

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The Internet of Agents (IoA) is an emerging paradigm whose objective is to mitigate the deficiencies of devices of Internet of Things (IoT) in terms of reasoning and social capabilities, in order to improve proactivity, intelligence and interoperability. This paper presents the guidelines to develop IoA applications based on described semantic agents following the Linked Open Data (LOD) approach and the specifications of the IoA-OWL ontology a specialized full ontology that formally defines the main aspects related to a novel approach such as IoA. These guidelines have been drawn up via a systematic method created from the best practices of Agile Software Development Methodologies. This method creates smart, autonomous, collaborative IoA applications based on novel Linked Open Agents (LOAs) that are driven by Linked-Agent Contracts (LACs) and Workflows for Agent Control (WACs). From a practical perspective, our method separates the modeling of components using two levels, microscopic (at agent level) and macroscopic (at agent society level) facilitated the planning, configuring and implementation of each agent in the IoA ecosystem. Moreover, the method facilitates the agent creation automation process, reducing the time required for its development and simplifying the design complexity. These achievements were demonstrated through the modeling of an Ambient Intelligence (AmI) scenario on an office composed by a set of collaborative agents in order to provide smart comfort. (C) 2018 Elsevier B.V. All rights reserved.
机译：代理程序Internet（IoA）是新兴的范式，其目标是减轻推理和社交能力方面的物联网（IoT）设备的缺陷，从而提高主动性，智能性和互操作性。本文介绍了遵循链接的开放数据（LOD）方法和IoA-OWL本体规范（一种完整的专业本体，正式定义了与诸如IoA之类的新方法相关的主要方面）的基于描述的语义代理开发IoA应用程序的指南。 。这些准则是通过从敏捷软件开发方法的最佳实践中创建的系统方法制定的。此方法基于由链接代理合同（LAC）和代理控制工作流（WAC）驱动的新型链接打开代理（LOA）创建智能，自治，协作的IoA应用程序。从实践的角度来看，我们的方法使用微观（代理级）和宏观（代理社会级）两个层次来分离组件的建模，从而简化了IoA生态系统中每个代理的规划，配置和实施。此外，该方法促进了代理创建自动化过程，减少了其开发所需的时间并简化了设计复杂性。通过在由一组协作代理组成的办公室中提供环境智能（AmI）场景的建模来证明这些成就，以提供智能舒适感。 （C）2018 Elsevier B.V.保留所有权利。

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