Abstract
This chapter presents ALZ-MAS (Alzheimer multi-agent system), an ambient intelligence (AmI)-based multi-agent system aimed at enhancing the assistance and health care for Alzheimer patients. The system makes use of several context-aware technologies that allow it to automatically obtain information from users and the environment in an evenly distributed way, focusing on the characteristics of ubiquity, awareness, intelligence, mobility, etc., all of which are concepts defined by AmI. ALZ-MAS makes use of a services oriented multi-agent architecture, called flexible user and services oriented multi-agent architecture, to distribute resources and enhance its performance. It is demonstrated that a SOA approach is adequate to build distributed and highly dynamic AmI-based multi-agent systems.
The system presented in this paper is an improved version of ALZ-MAS released on Q3 – 2006 by the BISITE Research Group (http://bisite.usal.es/) at the University of Salamanca, Spain.
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Notes
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Further information about FUSION@ can be obtained at http://bisite.usal.es/
References
Anderson R N (1999) A method for constructing complete annual U.S. life tables. Vital Health Statistics, National Center for Health Statistics, vol. 2(129), pp. 1–28
Ardissono L, Petrone G, Segnan M (2004). A Conversational Approach to the Interaction With Web Services. Computational Intelligence, 20(4):693–709. doi: 10.1111/j.0824-7935.2004.00261.x
Bahadori S, Cesta A, Grisetti G, Iocchi L, Leone R, Nardi D, Oddi A, Pecora F, Rasconi R (2003) RoboCare: An integrated robotic system for the domestic care of the elderly. In: Proceedings of Workshop on Ambient Intelligence, Pisa, Italia
Bonino da Silva L O, Ramparany F, Dockhorn P, Vink P, Etter R, Broens T (2007) A service architecture for context awareness and reaction provisioning. IEEE Congress on Services (Services 2007), pp. 25–32
Bratman M E (1987) Intentions, plans and practical reason. Harvard University Press, Cambridge, MA
Bratman M E, Israel D, Pollack M E (1988) Plans and resource-bounded practical reasoning. In: Computational Intelligence, vol. 4. Blackwell Publishing, Oxford, pp. 349–355
Camarinha-Matos L, Afsarmanesh H (2002) Design of a virtual community infrastructure for elderly care. In: PRO-VE’02 – 3rd IFIP Working Conference on Infrastructures for Virtual Enterprises, Sesimbra, Portugal
Cerami E (2002) Web services essentials distributed applications with XML-RPC, SOAP, UDDI & WSDL, 1st edn. O’Reilly & Associates, Inc
Cesta A, Bahadori S, Cortellesa G, Grisetti G, Giuliani M, Locchi L, Leone G, Nardo D, Oddi A, Pecora F, Rasconi R, Saggese A, Scopelliti M (2003) The RoboCare Project, cognitive systems for the care of the elderly. In: Proceedings of International Conference on Aging, Disability and Independence (ICADI), Washington, DC, USA
CE RFID (2006) Position paper: General guidelines for promoting RFID in Europe. Coordinating European efforts for promoting the European RFID value chain. http://www.rfid-in-action.eu/public/papers-and-documents/guidelines.pdf
Corchado J M, Bajo J, Abraham A (2008a) GERAmI: Improving the delivery of health care. In: IEEE Intelligent Systems, Special Issue on Ambient Intelligence – Mar/Apr ‘08, vol. 23(2), pp. 19–25
Corchado J M, Bajo J, Paz Y D, Tapia D I (2008b). Intelligent environment for monitoring Alzheimer patients, agent technology for health care. Decis. Support Syst., 44(2), pp. 382–396
Corchado J M, Pavón J, Corchado E, Castillo L F (2005) Development of CBR-BDI agents: A tourist guide application. In: Seventh European Conference on Case-based Reasoning. LNAI 3155, Springer, Berlin, pp. 547–559
Costa-Font J, Patxot C (2005) The design of the long-term care system in Spain: Policy and financial constraints. In: Social Policy and Society, vol. 4(1). Cambridge University Press, Cambridge, pp. 11–20
Decker K, Li J (1998) Coordinated hospital patient scheduling. In: Y Demazeau (Ed.), Proceedings of ICMAS98, Paris, France, pp. 104–111
Erickson P, Wilson R Shannon I (1995) Years of healthy life. US Department of Health and Human Services, CDC, National Center for Health Statistics, Hyattsville, Maryland. Statistical Notes No. 7
FIPA (2005) Foundation for Intelligent Physical Agents. Retrieved July 14, 2006, from http://www.fipa.org
Georgeff M, Rao A (1998) Rational software agents: From theory to practice. In: Agent Technology: Foundations, Applications, and Markets. In: N R Jennings, M J Wooldridge (Eds.). Springer, New York
Glez-Bedia M, Corchado J M (2002) A planning strategy based on variational calculus for deliberative agents. In: Computing and Information Systems Journal 10(1):2–14
Hewlett-Packard (2002) Understanding Wi-Fi. http://www.hp.com/rnd/library/pdf/
Jayaputera G T, Zaslavsky A B, Loke S W (2007) Enabling run-time composition and support for heterogeneous pervasive multi-agent systems. Journal of Systems and Software 80(12):2039–2062
Jennings, N R, Wooldridge M. (1995) Applying agent technology. Applied Artificial Intelligence. Taylor & Francis, vol. 9(4), pp. 351–361
Lanzola G, Gatti L, Falasconi S, Stefanelli M (1999) A framework for building cooperative software agents in medical applications. Artificial Intelligence in Medicine 16(3):223–249
Li Y, Shen W Ghenniwa H (2004) Agent-based web services framework and development environment. In: Computational Intelligence. Blackwell Publishing, vol. 20(4), pp. 678–692
Liu X (2007) A multi-agent-based service-oriented architecture for inter-enterprise cooperation system. In Proceedings of the Second International Conference on Digital Telecommunications (ICDT’07). IEEE Computer Society, Washington, DC
Meunier J A (1999) A virtual machine for a functional mobile agent architecture supporting distributed medical information. In: Proceedings of CBMS ‘99. IEEE Computer Society, Washington, DC
Miksch S, Cheng K, Hayes-Roth B (1997) An intelligent assistant for patient health care. In: Proceedings of Agents’97, ACM Press, New York, pp. 458–465
Nealon J, Moreno A (2003) Applications of software agent technology in the health care domain. In: Whitestein Series in Software Agent Technologies, Birkhauser
Pecora F, Cesta A (2007). Dcop for smart homes: A case study. In: Computational Intelligence, vol. 23(4). Blackwell Publishing, pp. 395–419
Pokahr A, Braubach L, Lamersdorf W (2003) Jadex: Implementing a BDI-Infrastructure for JADE Agents. In: EXP – in search of innovation (Special Issue on JADE), Department of Informatics, University of Hamburg, Germany, pp. 76–85
Poslad S, Laamanen H, Malaka R, Nick A, Buckle P, Zipl A (2001) CRUMPET: creation of user-friendly mobile services personalised for tourism. IEE Conference Publications, 2001(CP477), pp. 28–32. doi: 10.1049/cp:20010006
Ricci A, Buda C, Zaghini N (2007) An agent-oriented programming model for SOA & web services. In: Fifth IEEE International Conference on Industrial Informatics (INDIN’07), Vienna, Austria, pp. 1059–1064
Sancho M, Abellán A, Pérez L Miguel J A (2002) Ageing in Spain: Second World Assembly on Ageing. IMSERSO, Madrid, Spain
Schön B, O’Hare G M P, Duffy B R, Martin A N, Bradley J F (2005) Agent Assistance for 3D World Navigation. In: Lecture Notes in Computer Science. Springer, vol. 1, pp. 499–499
Shafiq M O, Ding Y, Fensel D (2006) Bridging multi agent systems and web services: towards interoperability between software agents and semantic web services. In: Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference (EDOC’06). IEEE Computer Society, Washington, DC, pp. 85–96
Van Woerden K (2006) Mainstream developments in ICT: Why are they important for assistive technology? In: Technology and Disability, vol. 18(1). IOS Press. pp. 15–18
Walton C (2006) Agency and the Semantic Web. Oxford University Press
Weber W, Rabaey J M, Aarts E (2005) Ambient Intelligence.Springer, New York
Wooldridge M, Jennings N R (1995) Intelligent agents: Theory and practice. In: The Knowledge Engineering Review, Cambridge University Press, vol. 10(2), pp. 115–152
WHO (2007) Global Age-friendly Cities: A Guide. World Health Organization. http://www.who.int/ageing/publications/Global_age_friendly_cities_Guide_English.pdf
ZigBee Standards Organization (2006) ZigBee Specification Document 053474r13. ZigBee Alliance
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This work has been partially supported by the FIT-350300-2007-84 project.
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Tapia, D.I., Rodrı́guez, S., Corchado, J.M. (2009). A Distributed Ambient Intelligence Based Multi-Agent System for Alzheimer Health Care. In: Hassanien, AE., Abawajy, J., Abraham, A., Hagras, H. (eds) Pervasive Computing. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84882-599-4_9
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