智能环境的上下文感知规划

Houda Haiouni, R. Maamri
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引用次数: 1

摘要

环境智能环境由嵌入式分布式设备组成,以主动和透明的方式进行交互,以实现用户的需求。上下文和上下文感知对于任何基于AmI的系统都是至关重要的。为了开发上下文感知的环境智能系统,需要合适的上下文模型和推理方法来为用户提供智能服务。本文提倡在Ami环境中使用多智能体规划。我们提出了一种方法来应对在更丰富的集合和动态上下文信息上进行推理所带来的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-aware planning for intelligent environments
Ambient Intelligence environments are populated with embedded distributed devices interacting in proactively and in transparent manner to achieve user's needs. Context and context awareness is crucial for any AmI based systems. To develop context-aware Ambient Intelligence systems, suitable context models, and reasoning approaches are necessary to provide users with smart services. This paper advocates the use of multi-agent planning for Ami environments. We propose an approach to cope with the challenges represented by reasoning over a richer collection and dynamic contextual information.
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