Abstract
A system modeling is presented for a Smart-home Healthy Lifestyle Assistant System (SHLAS), covering healthy lifestyle promotion by intelligently collecting and analyzing context information, executing control instruction and suggesting health plans for users. SHLAS is Multi-agent based. Each agent has three levels: the Goal Layer has business rules for representing agent goals; the Strategy Layer provides technical rules and processes for guiding how the agent reacts to events; the Component Layer is made up of components, some components are called by technical rules and processes in the Strategy Layer, some others are used for communicating with third party systems. This agent framework enables the customizability of agents in SHLAS. We also introduce an Ontology-based domain knowledge and context model to capture and represent the agents, and agent behavior which provides agents with reasoning ability. SHLAS helps users with healthy lifestyle promotion by tracking and analyzing their behaviors, and recommending health plans. The paper closes with an empirical evaluation of the approach from the point of view of customizability.
This is a preview of subscription content, log in via an institution to check access.
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
Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 1994, Santa Cruz, CA, pp. 89–101 (1994)
Wilkins, D., Desjardins, M.: A call for knowledge-based planning. AI Magazine 22(1), 99–115 (2001)
Cao, L., Yu, P.S. (eds.): Behavior Computing: Modeling, Analysis, Mining and Decision. Springer, New York (2012)
Cao, L.: Behavior informatics and analytics: Let behavior talk. In: IEEE International Conference on Data Mining Workshops, ICDMW 2008, pp. 87–96 (2008)
Cook, D., Das, e.S.: Smart Environments: Technologies, Protocols and Applications. Wiley (2004)
Das, S.K., Cook, D.: Health monitoring in an agent-based smart home. In: Proceedings of the International Conference on Smart Homes and Health Telematics, ICOST, Singapore (September 2004)
Brumitt, B., Meyers, B., Krumm, J., Kern, A., Shafer, S.: EasyLiving: Technologies for Intelligent Environments. In: Thomas, P., Gellersen, H.-W. (eds.) HUC 2000. LNCS, vol. 1927, pp. 12–29. Springer, Heidelberg (2000)
Das, S.K., Cook, D., et al.: The role of prediction algorithms on the MavHome Smart Home Architectures. IEEE Wireless Communications (Special Issue on Smart Homes) 9(6), 77–84 (2002)
Cao, L., Zhang, C., Zhou, M.C.: Engineering open complex agent systems: A case study. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews 38(4), 483–496 (2008)
Han, J., Pei, J., Yin, Y., Mao, R.: Mining frequent patterns without candidate generation. Data Mining and Knowledge Discovery 8, 53–87 (2004)
Cao, L.: Data Mining and Multi-agent Integration (edited). Springer (2009)
Cao, L., Weiss, G., Yu, P.S.: A Brief Introduction to Agent Mining. Journal of Autonomous Agents and Multi-Agent Systems 25, 419–424 (2012)
Cao, L., Gorodetsky, V., Mitkas, P.A.: Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems 24(3), 64–72 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, X., Yu, Y., Ou, Y., Luo, D., Zhang, C., Chen, J. (2013). System Modeling of a Smart-Home Healthy Lifestyle Assistant. In: Cao, L., Zeng, Y., Symeonidis, A.L., Gorodetsky, V.I., Yu, P.S., Singh, M.P. (eds) Agents and Data Mining Interaction. ADMI 2012. Lecture Notes in Computer Science(), vol 7607. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36288-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-36288-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36287-3
Online ISBN: 978-3-642-36288-0
eBook Packages: Computer ScienceComputer Science (R0)