Abstract
Intention recognition has significant applications in ambient intelligence, assisted living and care of the elderly, amongst others. In this paper we explore an approach to intention recognition based on clustering. To this end we show how to map the intention recognition problem into a clustering problem. To our knowledge the use of clustering techniques for intention recognition is novel, and this paper suggests it is promising.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aarts, E.: Ambient intelligence: a multimedia perspective. IEEE Intelligent Systems 19(1), 12–19 (2004)
Belkin, M., Niyogi, P.: Laplacian Eigenmapsfor Dimensionality Reductionand Data Representation. Neural Computation 15, 1373–1396 (2002)
Cox, M.T., Kerkez, B.: Case-Based Plan Recognition with Novel Input. International Journal of Control and Intelligent Systems 34(2), 96–104 (2006)
Demolombe, R., Fernandez, A.M.O.: Intention Recognition in the Situation Calculus and Probability Theory Frameworks. In: Toni, F., Torroni, P. (eds.) CLIMA 2005. LNCS (LNAI), vol. 3900, pp. 358–372. Springer, Heidelberg (2006)
Dunn, J.: A fuzzy relative of the ISODATA process and its use in detecting compact well separated clusters. J. Cybern. 3(3), 32–57 (1974)
Geib, C.W., Goldman, R.P.: Partial observability and probabilistic plan/goal recognition. In: Proceedings of the 2005 International Workshop on Modeling Others from Observations (MOO 2005) (July 2005)
Hong, J.: 2001 Goal recognition through goal graph analysis. Journal of Artificial Intelligence Research 15, 1–30 (2001)
Mao, W., Gratch, J.: A utility-based approach to intention recognition. In: AAMAS Workshop on Agent Tracking: Modelling Other Agents from Observations (2004)
Pereira, L.M., Anh, H.T.: Elder care via intention recognition and evolution prospection. In: Abreu, S., Seipel, D. (eds.) Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, Évora, Portugal (November 2009)
Sadri, F.: Logic-based Approaches to Intention Recognition. In: Chong, N.-Y., Mastrogiovanni, F. (eds.) Handbook of Research on Ambient Intelligence: Trends and Perspectives, pp. 346–375. IGI Global (2011)
Sadri, F.: Intention Recognition with Event Calculus Graphs and Weight of Evidence. In: Filipe, J. (ed.) Procs. of the 3rd International Conference on Agents and Artificial Intelligence. Springer (2011)
Sadri, F.: Intention Recognition in Agents for Ambient Intelligence: Logic-Based Approaches. In: Bosse (ed.) Agent-Based Approaches to Ambient Intelligence. IOS Press (to appear, 2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sadri, F., Wang, W., Xafi, A. (2012). Intention Recognition with Clustering. In: Paternò, F., de Ruyter, B., Markopoulos, P., Santoro, C., van Loenen, E., Luyten, K. (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34898-3_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-34898-3_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34897-6
Online ISBN: 978-3-642-34898-3
eBook Packages: Computer ScienceComputer Science (R0)