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Controlling the Heating System of an Intelligent Home with an Artificial Immune System

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Artificial Immune Systems (ICARIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4163))

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Abstract

Intelligent Home is nowadays an established technology. Actually, most existing realizations of the Intelligent Home cannot really adapt to the needs of the inhabitants of the home so that they can learn typical user behavior. In this paper we present an AIS that can perform the usual control functions but in addition is also able to adapt to varying requirements and to learn. The AIS is network based. The antigens represent the requests to the home and the antibodies the responses to these requests. Both incorporate the relevant parameters in their structure. Antibodies are produced according to the bone marrow model and a sort of reinforcement learning mechanism is implemented. The operation of the AIS is described by a scenario.

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References

  1. de Castro, L.N., von Zuben, F.J.: aiNET: An artificial immune network for data analysis. In: Abbass, H.A., Sarker, R.A., Newton, C.S. (eds.) Data Mining: A heuristic approach, pp. 231–259. Idea Group Publishing, USA (2001)

    Google Scholar 

  2. Dilger, W.: Decentralized autonomous organization of the intelligent home according to the principle of the immune system. In: Proceedings of IEEE System, Man, and Cybernetics Conference, Orlando, pp. 351–356 (1997)

    Google Scholar 

  3. Farmer, J.D., Kauffman, S.A., Packard, N.H., Perelson, A.S.: Adaptive dynamic networks as models for the immune system and autocatalytic sets. Ann. of the New York Academy of Sciences 504, 118–131 (1987)

    Article  Google Scholar 

  4. Hart, E., Ross, P., Webb, A., Lawson, A.: A Role for Immunology in “Next Generation” Robot Controllers. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 46–56. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Ishiguro, A., Watanabe, Y., Kondo, T., Shirai, Y., Uchikawa, Y.: Immunoid. A robot with a decentralized behavior arbitration mechanisms based on the immune system. In: Proceedings of ICMAS Workshop on Immunity-Based Systems, Nagao, pp. 82–92 (1996)

    Google Scholar 

  6. ESF Software GmbH, http://www.esf-software.com/de/home/index.php

  7. Krautmacher, M., Dilger, W.: AIS based robot navigation in a rescue scenario. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 106–118. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Mozer, M.C.: Lessons from an adaptive house. In: Cook, D., Das, R. (eds.) Smart environments:  Technologies, protocols, and applications, Hoboken, NJ, pp. 273–294. J. Wiley & Sons, Chichester (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Chemnitz University of Technology, 09107, Chemnitz, Germany

    Martin Lehmann & Werner Dilger

Authors
  1. Martin Lehmann
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  2. Werner Dilger
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Editor information

Editors and Affiliations

  1. IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

    Hugues Bersini

  2. Instituto Gulbenkian de Ciencia, Apartado 14, 2781-901, Oeiras, Portugal

    Jorge Carneiro

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© 2006 Springer-Verlag Berlin Heidelberg

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Lehmann, M., Dilger, W. (2006). Controlling the Heating System of an Intelligent Home with an Artificial Immune System. In: Bersini, H., Carneiro, J. (eds) Artificial Immune Systems. ICARIS 2006. Lecture Notes in Computer Science, vol 4163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823940_26

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  • DOI: https://doi.org/10.1007/11823940_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37749-8

  • Online ISBN: 978-3-540-37751-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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