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Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Author

Listed:
  • K. Yang

    (Department of Computer Science, Yonsei University, Seoul 120-749, Korea)

  • Sung-Bae Cho

    (Department of Computer Science, Yonsei University, Seoul 120-749, Korea)

Abstract

A smart home can be realized by the provision of services, such as building control, automation and security implemented in accordance with a user’s request. One of the important issues is how to respond quickly and appropriately to a user’s request in a “dynamic environment”. An intelligent agent infers the user’s intention and provides the intact service. This paper proposes a smart home agent system based on a hierarchical hybrid architecture of a user intention model, which models the user intention as a hierarchical structure and implements it in a dynamic environment. The conventional rule-based approach needs to obtain all information before it is executed, which requires a large number of rules and is hardly scalable as the control objects are increasing. On the other hand, the proposed system consists of several modules that construct a hierarchical user intention model. The smart home system needs to take account of the information, such as time, state of device and state of the home, in addition to users’ intention. We evaluate the performance of the proposed system in a dynamic environment and conduct a blind test with seven subjects to measure the satisfaction of service, resulting in the average score of 81.46.

Suggested Citation

  • K. Yang & Sung-Bae Cho, 2016. "Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent," Sustainability, MDPI, vol. 8(10), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:10:p:1020-:d:80391
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    References listed on IDEAS

    as
    1. Zhou, Bin & Li, Wentao & Chan, Ka Wing & Cao, Yijia & Kuang, Yonghong & Liu, Xi & Wang, Xiong, 2016. "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 30-40.
    2. Godbole, Datta N. & Lygeros, John & Sastry, Shankar, 1995. "Hierarchical Hybrid Control: A Case Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8jm7h7h7, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

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