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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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
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