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Information Flow Analysis in Autonomous Agent and Peer-to-Peer Systems for Self-organizing Electronic Health Records

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Agents and Peer-to-Peer Computing (AP2PC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4461))

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Abstract

There are various software applications that are highly suited for development using agent technology. Typically these applications take advantage of some of the intrinsic qualities of agents that include: autonomy, reactivity/proactivity, group-action, and/or mobility. On the other hand, there are many parallels between Agent Systems and Peer-to-Peer Systems allowing the latter to be employed in similar problem domains. This paper presents an agent application in the health care record management domain and then examines how such a system might also be implemented as a Peer-to-Peer System. The management of health care records is in itself a novel use of Mobile Agent technology and in order to understand the Agent System Dynamics, the system is simulated using a limited number of agents and agent platforms; as well as being modeled mathematically. The Peer-to-Peer system is also simulated and modeled mathematically demonstrating a number of behaviors that are similar across both systems.

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References

  • Allen, A.O.: Probability, Statistics and Queueing Theory with Computer Science Applications, 2nd edn. Academic Press, San Diego (1990)

    MATH  Google Scholar 

  • Balakrishnan, H., Kaashoek, M.F., Karger, D., Morris, R., Stoica, I.: Looking Up Data in P2P Systems. Communications of the ACM 46(2), 43–48 (2003)

    Article  Google Scholar 

  • Baskett, F., Chandy, K., Muntz, R., Palacios, F.: Open, closed, and mixed networks of queues with different classes of customers. Journal of the ACM 22(2), 248–260 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  • Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  • Collier, N.: Repast: the recursive porous agent simulation toolkit, [WWW document] (2003), http://repast.sourceforge.net

  • Dick, R.S., Steen, E.B.: The Computer Based Patient Record: An Essential Technology for Health Care. National Academy Press, Washington D.C (1991), http://www.nap.edu/books/0309055326/html/index.html

    Google Scholar 

  • Gibbs, C.: TEEMA Reference Guide Version 1.0. Regina, TRLabs, Saskatchewan, Canada (2000)

    Google Scholar 

  • Johns, M.L.: Information Management for Health Professionals, Delmar (1997)

    Google Scholar 

  • Joseph, S., Kawamura, T.: Why Autonomy Makes the Agent. In: Liu, J., Zhong, N., Tang, Y.Y., Wang, P. (eds.) Agent Engineering, pp. 7–22. World Scientific Publishing, Singapore (2001)

    Google Scholar 

  • Kotz, D., Gray, R., Rus, D.: Future directions for mobile-agent research. Technical Report TR2002-415, Dept. Computer Science, Dartmouth College (January 2002)

    Google Scholar 

  • Lerman, K., Galstyan, A.: A methodology for mathematical analysis of multi-agent systems (University of California Information Sciences Technical Report ISI-TR-529). California, USA: University of California Information Sciences Institute (2001), http://www.isi.edu/~lerman/projects/task/

  • Lerman, K., Shehory, O.: Coalition formation for large-scale electronic markets [Electronic Version]. In: Proceedings of the Fourth International Conference on Multiagent Systems, Boston, MA, pp. 167–175 (2000)

    Google Scholar 

  • Luna, F., Stefansson, B.: Economic simulations in Swarm: agent-based modelling and object programming. Kluwer Academic Publishers, Dordrecht (2000)

    MATH  Google Scholar 

  • Martens, R.: TEEMA TRLabs Execution Environment for Mobile Agents. TRLabs, Regina, Saskatchewan, Canada (2001)

    Google Scholar 

  • Minar, N., Burkhart, R., Langton, C., Askenazi, M.: The swarm simulation system, a toolkit for building multi-agent simulations (1996), http://www.santafe.edu/projects/swarm/overview/overview.html

  • Moreno, A.: Medical Applications of Multi-Agent Systems. In: Paper presented at the 2003 Intelligent and Adaptive Systems in Medicine Workshop, http://cyber.felk.cvut.cz/EUNITE03-BIO/pdf/Moreno.pdf

  • Nealon, J., Moreno, A.: Agent-based applications in health care. In: Paper presented at EU-LAT Workshop 2003 (2003), http://www.etse.urv.es/recerca/banzai/toni/MAS/papers.html

  • Raj, G.S.: A detailed comparison of CORBA, DCOM and Java/RMI, Tech. rep., Web Cornucopia, [WWW document] (1998), http://my.execpc.com/~gopalan/misc/compare.html

  • Smith, K., Paranjape, R., Benedicenti, L.: Agent behavior and agent models in unregulated markets [Electronic Version]. Association for Computing Machinery SIGAPP Applied Computing Review 9(3), 2–12 (2001)

    Article  Google Scholar 

  • Stone, P., Veloso, M.M.: Multiagent systems: A survey from a machine learning perspective. Autonomous Robots 8(3), 345–383 (2000)

    Article  Google Scholar 

  • Tecchia, F., Loscos, C., Conroy, R., Chrysanthou, Y.: Agent Behaviour Simulator (ABS): A Platform for Urban Behaviour Development. In: The First International Game Technology Conference and Idea Expo (GTEC 2001) in co-operation with ACM SIGGRAPH and EUROGRAPHICS, Hong Kong, pp. 17–21 (2001)

    Google Scholar 

  • Tse, B., Paranjape, R.: Macroscopic Modeling of Information Flow in Agent-Based Electronic Health Record System, ch. 17. In: Lin, H. (ed.) Architectural Design of Multi-Agent Systems: Technologies and Techniques, Idea Group Publishing (2006)

    Google Scholar 

  • Wei, H., Paranjape, R., Benedicenti, L.: Mobile agent network management system performance study in frame relay network. In: Proceedings of the 2002 Institute of Electrical and Electronics Engineers Canadian Conference on Electrical and Computer Engineering, Winnipeg, Manitoba, Canada, pp. 1499–1504 (2002)

    Google Scholar 

  • Xu, D., Volz, R., Loerger, T., Yen, J.: Modeling and verifying multi-agent behaviors using predicate/transition nets. In: Association for Computing Machinery International Conference Proceeding Series, vol. 27, pp. 193–200 (2002)

    Google Scholar 

  • Yang, Y., Paranjape, R., Benedicenti, L.: An examination of mobile agents system evolution in the course scheduling problem. In: Proceedings of the 2004 Institute of Electrical and Electronics Engineers Canadian Conference on Electrical and Computer Engineering, vol. 2, pp. 657–660 (2004)

    Google Scholar 

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Sam Joseph Zoran Despotovic Gianluca Moro Sonia Bergamaschi

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Tse, B., Paranjape, R., Joseph, S.R.H. (2008). Information Flow Analysis in Autonomous Agent and Peer-to-Peer Systems for Self-organizing Electronic Health Records. In: Joseph, S., Despotovic, Z., Moro, G., Bergamaschi, S. (eds) Agents and Peer-to-Peer Computing. AP2PC 2006. Lecture Notes in Computer Science(), vol 4461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79705-0_1

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  • DOI: https://doi.org/10.1007/978-3-540-79705-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79704-3

  • Online ISBN: 978-3-540-79705-0

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