ICCS 2007 pp 162-169 | Cite as

Structuring Community Care using Multi-Agent Systems

  • Martin D Beer
Conference paper


Community care is a complex operation that requires the interaction of large numbers of dedicated individuals, managed by an equally wide range of organisations. They are also by their nature highly mobile and flexible, moving between clients in whatever order person receiving care is that they receive what they expect regularly, reliably and when they expect to receive it. Current systems are heavily provider focused on providing the scheduled care with as high apparent cost effectiveness as possible. Unfortunately, the lack of focus on the client often leads to inflexibility with expensive services being provided when they are not needed, large scale duplication of effort or inadequate flexibility to change the care regime to meet changing circumstances. Add to this the problems associated with the lack of integration of emergency and routing care and the extensive support given by friends and family and many opportunities exist to improve both the levels of support and the efficiency of care. The move towards Individual Care Plans requires much closer monitoring to ensure that the care specified for each individual is actually delivered and when linked with smart home technology in conjunction with appropriate sensors allows a much richer range of services to be offered which can be customised to meet the needs of each individual, giving them the assurance to continue to live independently.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Beer, M. D., Bench-Capon, T., and Sixsmith, A. (1999) The Delivery of Effective Integrated Community Care with the aid of Agents, Proceedings of ICSC, Lecture Notes in Computer Science 1749, Springer-Verlag pp. 303–398.Google Scholar
  2. Hill, R., Polovina, S., Beer, M., (2005), Managing Community Health-care Information in a Multi-Agent System Environment, Multi-Agent Systems for Medicine, Computational Biology and Bioinformatics, Utrecht, Netherlands, pp. 35–49.Google Scholar
  3. Bellifemine, F., Poggi, A., and Rimassa, G. (1999) JADE-A FIPA-compliant agent framework. In Proceedings of the 4th International Conference on the Practical Applications of Agents and Multi-Agent Systems, pp 97–108, The Practical Application Company Ltd.Google Scholar
  4. Fisk, M. (1989) Alarm Systems and Elderly People Planning Exchange, London.Google Scholar
  5. Haigh, K. Z., Phelps, J., Geib, C. W., (2002) An Open Agent Architecture for Assisting Elder Independence, in The First International Joint Conference on Autonomous Agents and Multi Agent Systems, pages 578–586.Google Scholar
  6. Mikko Laukkanen, Heikki Helin, Heimo Laamanen (2002) Supporting nomadic agent-based applications in the FIPA agent architecture, Proceedings of the first international joint conference on Autonomous agents and multiagent systems, pp 565–566.Google Scholar
  7. Louis, V. and Martinez, T (2005) An operational model for the FIPA-ACL semantics, Agent Communication Workshop, Utrecht NL.Google Scholar
  8. Lunn, K., Sixsmith, A., Lindsay, A., Vaarama, M., (2003) Traceability in requirements through process modelling, applied to social care applications, Information & Software Technology, 1045–1052.Google Scholar
  9. McDonald, A. (1999) Understanding Community Care, MacMillan Press Ltd., London, UK.Google Scholar
  10. Omair S., M., Ali, A. Ahmad, F., H., Suguri, H. (2005) Agent Web Gateway-a middleware for dynamic integration of multi agent system and Web services framework”, 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise, pp. 267–268.Google Scholar

Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • Martin D Beer
    • 1
  1. 1.Communications and Computing Research CentreSheffield Hallam UniversitySheffieldUKUSA

Personalised recommendations