Abstract
In this work, the methodology AmISim to test and to deployment of Ambient Intelligence (AmI) system is presented. The development of AmI systems is a complex task because this technology must adapt to users and contextual information as well as unpredictable and changeable behaviours. So, we focused in how the methodology AmISim can help to the engineering of adaptative services for users. In this case, we propose a predictor of location based on Hidden Markov Models (HMMs). So, the system can offer Location-Based Services(LBS) that adapt to the users. To this end, we propose a methodology based on a previous social multi-agent based simulation (MABS) and a following deployment of the service in a real environment.
This research work is supported by the Spanish Ministry of Science and Innovation under the grant AP2007-04269 of the FPU program, the Séneca Grants program through the 09493/FPI/08 grant and in the scope of the Research Projects TSI-020302-2009-43, TIN2008-06441-C02-02, through the Fundación Séneca within the Program “Generación del Conocimiento Científico de Excelencia” (04552/GERM/06).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dijkstra, E.: A note on two problems in connection with graphs. Numerische Mathematik 1, 269–271 (1959)
Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: Scenarios for ambient intelligence in 2010. Technical report, ISTAG, The Information Society Technology Advisory Group (2001)
Litz, L., Gabel, O., Reif, M.: Ncs testbed for ambient intelligence. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 1(115), p. 120 (2005)
Garcia-Valverde, T., Serrano, E., Botia, J.A., Gomez-Skarmeta, A., Cadenas, J.M.: Social simulation to simulate societies of users inmersed in an ambient intelligence environment. In: SS@IJCAI 2009 (2009)
Nieto, I., Botia, J.A., Gomez-Skarmeta, A.F.: Information and hybrid architecture model of the ocp contextual information management system. Journal of Universal Computer Science 12(3), 357–366 (2006)
Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77, 257–286 (1989)
Serrano, E., Botia, J.A., Cadenas, J.M.: Ubik: a multi-agent based simulator for ubiquitous computing applications. Journal of Physical Agents 3(2), 39 (2009)
Weiser, M.: Ubiquitous computing. IEEE Computer 26(10), 71–72 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
García-Valverde, T., García-Sola, A., Lopez-Marmol, F., Botia, J.A. (2010). Engineering Ambient Intelligence Services by Means of MABS. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-12433-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12432-7
Online ISBN: 978-3-642-12433-4
eBook Packages: EngineeringEngineering (R0)