Abstract
This paper presents the proposal of an architecture for developing systems that interact with Ambient Intelligence (AmI) environments. This architecture has been proposed as a consequence of a methodology for the inclusion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Systems Research for Ambient Intelligence). The ISyRAmI architecture considers several modules. The first is related with the acquisition of data, information and even knowledge. This data/information/knowledge deals with our AmI environment and can be acquired in different ways (from raw sensors, from the web, from experts). The second module is related with the storage, conversion, and handling of the data/information/knowledge. It is understood that incorrectness, incompleteness, and uncertainty are present in the data/information/knowledge. The third module is related with the intelligent operation on the data/information/knowledge of our AmI environment. Here we include knowledge discovery systems, expert systems, planning, multi-agent systems, simulation, optimization, etc. The last module is related with the actuation in the AmI environment, by means of automation, robots, intelligent agents and users.
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References
ISTAG, Scenarios for Ambient Intelligence in 2010, European Commission Report (2001)
ISTAG, Strategic Orientations & Priorities for IST in FP6, European Commission Report (2002)
ISTAG, Ambient Intelligence: from vision to reality, European Commission Report (2003)
Shadbolt, N.: Ambient Intelligence. Editorial of the IEEE Intelligent Systems 18(4), 2–3 (2003)
Augusto, J.C., Shapiro, D.: Proceedings of the 1st Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI 2006), co-located event of ECAI 2006, Riva del Garda, Italy (2006)
Augusto, J.C., Shapiro, D.: Proceedings of the 2nd Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI 2007), co-located event of IJCAI 2007, Hyderabad, India (2007)
Ramos, C., Augusto, J.C., Shapiro, D.: Special Issue on Ambient Intelligence. IEEE Intelligent Systems 23(2), 15–57 (2008)
Ramos, C., Augusto, J.C., Shapiro, D.: Ambient Intelligence: the next step for Artificial Intelligence. IEEE Intelligent Systems -Special Issue on Ambient Intelligence, Guest Editors’ Introduction 23(2), 15–18 (2008)
Ramos, C.: Ambient Intelligence Environments. In: Rabuñal, J., Dorado, J., Sierra, A. (eds.) Encyclopedia of Artificial Intelligence. Information Science Reference (2008) ISBN 978-1-59904-849-9
Gomes, N., Ramos, C., Pereira, C., Nunes, F.: Ubiquitous Ambient Intelligence in Flight Decision Assistance System. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) EPIA 2007. LNCS (LNAI), vol. 4874, pp. 296–308. Springer, Heidelberg (2007)
Vale, Z., Moura, A., Fernandes, M., Marques, A., Rosado, A., Ramos, C.: SPARSE: An Intelligent Alarm Processor and Operator Assistant. IEEE Expert- Special Track on AI Applications in the Electric Power Industry 12(3), 86–93 (1997)
Marreiros, G., Santos, R., Novais, P., Machado, J., Ramos, C., Neves, J., Bulas-Cruz, J.: Argumentation-based Decision Making in Ambient Intelligence Environments. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) EPIA 2007. LNCS (LNAI), vol. 4874, pp. 309–322. Springer, Heidelberg (2007)
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Ramos, C. (2009). An Architecture for Ambient Intelligent Environments. In: Corchado, J.M., Tapia, D.I., Bravo, J. (eds) 3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008. Advances in Soft Computing, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85867-6_4
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DOI: https://doi.org/10.1007/978-3-540-85867-6_4
Publisher Name: Springer, Berlin, Heidelberg
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