Advertisement

A Hierarchical Fuzzy Genetic Multi-Agent Architecture for Intelligent Buildings Sensing and Control

  • Hani Hagras
  • Victor Callaghan
  • Martin Colley
  • Graham Clarke
Part of the Advances in Soft Computing book series (AINSC, volume 9)

Abstract

In this paper, we describe a new application domain for intelligent autonomous systems — Intelligent Buildings (IB). In doing so we present a novel approach to the implementation of IB based on a hierarchical fuzzy genetic multi embeddedagent architecture comprising a low-level behaviour based reactive layer whose outputs are co-ordinated in a fuzzy way according to deliberative plans. The fuzzy rules related to resident’s comfort are learnt online in a short time interval using our patented Fuzzy-Genetic techniques (British Patent 99–10539.7) from the resident’s actual behaviour in a learning phase. Our approach utilises an intelligent agent approach to autonomously governing the building environment. We discuss the role of learning in building control systems, and contrast this approach with existing IB solutions. We explain the importance of acquiring information from sensors, rather than relying on pre-programmed models, to determine user needs. We describe how our architecture, consisting of distributed embedded agents, utilises sensory information to learn to perform tasks related to user comfort, energy conservation, and safety. We show how these agents, employing a behaviour-based approach derived from robotics research, are able to continuously learn and adapt to individuals within a building, whilst always providing a fast, safe response to any situation. Such a system could be used to provide support for older people, or people with disabilities, allowing them greater independence and quality of life.

Keywords

Membership Function Rule Base Fuzzy Logic Controller British Patent User Comfort 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [Brooks 91]
    R Brooks, “Intelligence Without Representation”, Artificial Intelligence 47, pp 139–159, 1991.CrossRefGoogle Scholar
  2. [Brooks 97]
    R. Brooks, “Intelligent Room Project”, Proc 2nd Int’I Cognitive Technology Conference (CT’97), Japan 1997.Google Scholar
  3. [Callaghan 2000]
    Callaghan V, Clarke G, Colley M, Hagras H “A Soft-Computing DAI Architecture for Intelligent Buildings” Journal of Studies in Fuzziness and Soft Computing on Soft Computing Agents, Physica-Verlag-Springer, July 2000Google Scholar
  4. [Coen 97]
    M.H.Coen, “Building Brains for Rooms: Designing Distributed Software Agents”, Proc. Ninth Innovative Applications of AI Conf., AAAI Press, 1997.Google Scholar
  5. [Davidsson 98]
    P. Davisson “Energy Saving and Value Added Services; Controlling Intelligent-Buildings Using a Multi-Agent Sytem Approach” in DA/DSM Europe DistribuTECH, PennWell, 1998.Google Scholar
  6. [Hagras 99a]
    H.Hagras, Victor Callaghan, M.Colley, “A Fuzzy-Genetic Based Embedded-Agent Approach to Learning and Control in Agricultural Autonomous Vehicles”, 1999 IEEE International Conference on Robotics and Automation, pp. 1005–1010, Detroit- U.S.A, May 1999.Google Scholar
  7. [Hagras 99b]
    H.Hagras, Victor Callaghan, M.Colley, “Online Learning of Fuzzy Behaviours using Genetic Algorithms & Real-Time Interaction with the Environment”, 1999 IEEE International Conference on Fuzzy Systems, Seoul-Korea, pp. 668–672, August 1999.Google Scholar
  8. [Mozer 98]
    M. Mozer “The Neural Network House: An Environment That Adapts To Its Inhabitants”. In Proc of American Association for Artificial Intelligence Spring Symposium on Intelligent Environments, pp. 110–114, AAAI Press, 1998.Google Scholar
  9. [Saffiotti 97]
    A. Saffiotti, “ Fuzzy Logic in Autonomous Robotics: behaviour co-ordination”, Proceedings of the 6th IEEE International Conference on Fuzzy Systems, Vol.1, pp. 573–578, Barcelona, Spain, 1997.Google Scholar
  10. [Sharpies 99]
    S. Sharpies, V. Callaghan, G. Clarke, “A Multi-Agent Architecture for Intelligent Building Sensing and Control” International Sensor Review Journal, May 1999.Google Scholar
  11. [Steels 95]
    L. Steels, “When are robots Intelligent autonomous agents”, Journal of Robotics and Autonomous Systems, Vol. 15, pp. 3–9, 1995.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Hani Hagras
    • 1
  • Victor Callaghan
    • 2
  • Martin Colley
    • 2
  • Graham Clarke
    • 2
  1. 1.The Computer ScienceDepartmentThe University of HullHullUK
  2. 2.The Computer ScienceDepartmentEssex UniversityColchesterUK

Personalised recommendations