Abstract
This study focuses on trying to understand why the range of experience with respect to HIV infection is so diverse, especially as regards to the latency period. The challenge is to determine what assumptions can be made about the nature of the experience of antigenic invasion and diversity that can be modelled, tested and argued plausibly. To investigate this, an agent-based approach is used to extract high-level behaviour which cannot be described analytically from the set of interaction rules at the cellular level. A prototype model encompasses local variation in baseline properties contributing to the individual disease experience and is included in a network which mimics the chain of lymphatic nodes. Dealing with massively multi-agent systems requires major computational efforts. However, parallelisation methods are a natural consequence and advantage of the multi-agent approach. These are implemented using the MPI library.
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References
Burns, J.: Emergent networks in immune system shape space. PhD thesis, Dublin City University, School of Computing (2005)
Germain, R.N.: The Art of the Probable: System Control in the Adaptive Immune System. Science 239(5528), 240–245 (2001)
Jennings, N., Sycara, K., Wooldridge, M.: A roadmap of agent research and development. Autonomous agents and multi-agents systems 1(1), 7–38 (1998)
Lemahieu, J.C.: Le systeme immunitaire. Immunology courses [French] (2005) available online at, http://anne.decoster.free.fr/immuno/orgcelri/orgcelmo.htm (last access on December 14, 2005)
Klatzmann, D., Champagne, E., Chamaret, S., Gruest, J., Guetard, D., Hercend, T., Gluckman, J.C., Montagnier, L.: T-lymphocyte T4 molecule behaves as the receptor for human retrovirus LAV. Nature 312(5596), 767–768 (1984)
Decoster, A., Lemahieu, J.C.: Les retrovirus. Immunology courses [French] (2005) available online at, http://anne.decoster.free.fr/d1viro/vretrov0.html (last access on December 14, 2005)
Wooldridge, M., Jennings, N.: Intelligent agents: Theory and practice. The Knowledge Engineering Review 2(10), 115–152 (1995)
Durfee, E.H.: Scaling up agent coordination strategies. Computer 34(7), 39–46 (2001)
Cammarata, S., McArthur, D., Steeb, R.: Strategies of cooperation in distributed problem solving. In: Proceedings of the Eighth International Joint Conference on Artificial Intelligence (IJCAI 1983), Karlsruhe, Germany (1983)
Durfee, E.H.: Coordination of distributed problem solvers. Kluwer Academic Publishers, Dordrecht (1998)
Hayes-Roth, B., Hewett, M., Washington, R., Hewett, R., Seiver, A.: Distributing intelligence within an individual. In: Gasser, L., Huhns, M. (eds.) Distributed Artificial Intelligence, vol. II, pp. 385–412. Pitman Publishing and Morgan Kaufmann (1989)
Kari, J.: Theory of cellular automata: A survey. Theoretical Computer Science 334(2005), 3–35 (2005)
Minar, N., Burkhart, R., Langton, C., Askenazi, M.: The Swarm simulation system: A toolkit for building multi-agent simulations. Working Paper 96-06-042, Santa Fe Institute (1996)
Press, W.H., Vetterling, W.T., Teukolsky, S.A., Flannery, B.P.: Numerical Recipes in C++: the art of scientific computing. Cambridge University Press, Cambridge (2002)
Srinivasan, A., Mascagni, M., Ceperley, D.: Testing parallel random number generators. Parallel Computing 29(2003), 69–94 (2003)
Hecquet, D., Ruskin, H.J., Crane, M.: Optimisation and parallelisation strategies for Monte Carlo simulation of HIV infection. Submitted to Computers in Biology and Medicine (2005)
Gropp, W., Lusk, E., Skjellum, A.: Using MPI: Portable Parallel Programming With the Message-Passing Interface, 2nd edn. MIT Press, Cambridge (1999)
Gropp, W., Lusk, E., Skjellum, A.: Using MPI-2: Advanced Features of the Message Passing Interface. MIT Press, Cambridge (1999)
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Perrin, D., Ruskin, H.J., Burns, J., Crane, M. (2006). An Agent-Based Approach to Immune Modelling. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_65
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DOI: https://doi.org/10.1007/11751540_65
Publisher Name: Springer, Berlin, Heidelberg
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