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NATURAL LANGUAGE INTERACTIONS IN DISTRIBUTED NETWORKS OF SMART DEVICES

机译:智能设备分布式网络中的自然语言交互

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摘要

Advances in sensing and networking hardware have made the prospect of ambient intelligence more realistic, but the challenge of creating a software framework suitable for ambient intelligence systems remains. We present ADE, the Agent Development Environment, a distributed agent infrastructure with built-in natural language processing capabilities connected to a sophisticated goal manager that controls access to the world via multiple server interfaces for sensing and actuating devices. Unlike other ambient intelligence infrastructures, ADE includes support for multiple autonomous robots integrated into the system. ADE allows developers of ambient intelligence environments to implement agents of varying complexity to meet the varying requirements of each scenario, and it provides facilities to ensure security and fault tolerance for distributed computing. Natural language processing is conducted incrementally, as utterances are acquired, allowing fast, accurate responses from system agents. We describe ADE and a sample of the many experiments and demonstrations conducted using the infrastructure, then an example architecture for a “smart home” is proposed to demonstrate ADE’s utility as an infrastructure for ambient intelligence.
机译:传感和网络硬件的进步使环境智能的前景更加现实,但是创建适合环境智能系统的软件框架仍然面临着挑战。我们介绍了ADE,即代理开发环境,它是一种分布式代理基础结构,具有内置的自然语言处理功能,该功能与成熟的目标管理器连接,该目标管理器通过用于感知和促动设备的多个服务器接口控制对世界的访问。与其他环境情报基础架构不同,ADE包括对集成到系统中的多个自主机器人的支持。 ADE使环境情报环境的开发人员可以实现复杂程度不同的代理程序,以满足每种方案的不同要求,并且它提供了确保分布式计算的安全性和容错性的工具。随着语音的获取,自然语言处理将逐步进行,从而允许系统代理进行快速,准确的响应。我们将描述ADE以及使用该基础结构进行的许多实验和演示的示例,然后提出“智能家居”的示例架构,以展示ADE作为环境智能基础结构的效用。

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