1st International ICST Conference on Ambient Media and Systems

Research Article

A Semiotic Multi-Agent System for Intelligent Building Control

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  • @INPROCEEDINGS{10.4108/ICST.AMBISYS2008.2881,
        author={Darren Booy and Kecheng Liu and Bing Qiao and Chris Guy},
        title={A Semiotic Multi-Agent System for Intelligent Building Control},
        proceedings={1st International ICST Conference on Ambient Media and Systems},
        publisher={ICST},
        proceedings_a={AMBI-SYS},
        year={2010},
        month={5},
        keywords={Multi-agent systems intelligent buildings personalisation semiotics affordance wireless sensor network. collaborative negotiation actuators pervasive space ambient intelligence},
        doi={10.4108/ICST.AMBISYS2008.2881}
    }
    
  • Darren Booy
    Kecheng Liu
    Bing Qiao
    Chris Guy
    Year: 2010
    A Semiotic Multi-Agent System for Intelligent Building Control
    AMBI-SYS
    ICST
    DOI: 10.4108/ICST.AMBISYS2008.2881
Darren Booy1,*, Kecheng Liu2,*, Bing Qiao3,*, Chris Guy3,*
  • 1: The University of Reading Informatics Research Centre, RG6 6BX
  • 2: University of Reading Informatics Research Centre, RG6 6BX
  • 3: University of Reading School of Systems Engineering, RG6 6BX
*Contact email: d.a.booy@rdg.ac.uk, k.liu@rdg.ac.uk, b.qiao@rdg.ac.uk, c.g.guy@rdg.ac.uk

Abstract

Intelligent agents have often been used within intelligent buildings for autonomous actuation of heating, ventilation and air conditioning systems (HVAC) within intelligent buildings. Ubiquitous wireless sensors send environmental data such as temperature, which is then calculated by the agents in compliance to building policies and stakeholder requirements. In this paper, we describe an organisational semiotic approach to designing intelligent agents and a proof of concept in MASBO (Multi-Agent System for Building cOntrol); a multi-agent system designed to provide coordinated management on Building control HVAC systems within an intelligent building. Overall, the system will provide automated assessment of the environment in realtime using readily deployable wireless sensors to personalize occupants’ micro-environment and thus achieve optimal wellbeing and productivity.