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CAFISS: a complex adaptive framework for immune system simulation

Published: 13 March 2005 Publication History

Abstract

Currently most reported immune system simulations in literature involve the use of differential equations, genetic algorithm-based searching or simple cellular automata models. This limits the diversity in results obtained and thus provides fewer avenues for experimenting with behavioral responses of the immune system entities under exogenous stimulations. Complex adaptive systems (or CAS) by Holland provide a way of modeling natural systems with complex aggregation and nonlinear interactions to exhibit emergent behaviours. The immune system, being a powerful and flexible information processing system is particularly suited to being modeled using CAS. This paper describes a Java-based implementation of a framework for modeling the immune system, particularly Human Immunodeficiency Virus (or HIV) attack, using a CAS model. The credibility of the system is established through comparisons against available viral dynamics data. We show that it is feasible to achieve relatively accurate predictions of viral pathogenesis through agent-based discrete event simulations, the first steps towards improved automation of hypothesis verification.

References

[1]
Beauchemin, C., Modelling the immune system. A reading course final report. Department of Physics, University of Alberta. December 2002.]]
[2]
Bernaschi, M. & Castiglione, F., Design and implementation of an immune system simulator. Computers in Biology and Medicine, 31(5): 303--331, 2001.]]
[3]
Celada, F. & Seiden, P. E., A Computer Model of Cellular Interactions in the Immune System. Immunology Today, 13(2): 56--62, February 1992.]]
[4]
Forrest, S. et. al., Using Genetic Algorithms to Explore Pattern Recognition in the Immune System. Evolutionary Computation, 1(3): 191--211, 1993.]]
[5]
Forrest, S. & Perelson, A. S., Genetic Algorithms and the Immune System. In H. Schwefel & R. Maenner (Eds.). Parallel Problem Solving from Nature (pp. 320--315). Berlin. Springer-Verlag (Lecture Notes in Computer Science), 1991.]]
[6]
Geyer-Schulz, A., Holland Classifier Systems. APL Quote Quad, 25(4): 43--55. Jun. 1995. Proc. of the International Conference on APL, San Antonio, TX, 1995.]]
[7]
Gould, S. J., The Panda's Thumb. New York: Norton & Co, 1980.]]
[8]
Holland, J. H., Hidden Order: How Adaptation Builds Complexity, Reading, Mass.: Addison-Wesley 1995.]]
[9]
Huberman, B. A. & Glance, N. S., Evolutionary Games and Computer Simulations, Proc Natl Acad Sci USA; 90 (16): 7716--7718, 15 August 1993.]]
[10]
Axtel, R. L., Effects of Interaction Topology and Activation Regime in Several Multi-Agent Systems, SFI Working Paper #00-07-039, 2000.]]
[11]
Java AWT: Delegation Event Model (1997). Retrieved March 1,2004, from http://java.sun.com/j2se/1.4.2/docs/guide/awt/1.3/designspec /events.html]]
[12]
Kleinstein, S. H. & Seiden, P. E., Simulating the Immune System. Computing in Science and Engineering, 69--77. Jul.-Aug. 2000.]]
[13]
Nowak, M. A. & McMichael, A. J., How HIV Defeats the Immune System, Scientific American, Aug. 1995.]]
[14]
Perelson, A. S. & Weisbuch, G., Immunology for Physicists. Reviews of Modern Physics, 69(4): 1219--1267, Oct. 1997.]]
[15]
R. E. Hurlbert, http://www.slic2.wsu.edu:82/hurlbert/micro101/pages/Chap16.html#AIDS course disease]]
[16]
Roitt I., Essential Immunology. Ninth Edition. Pub. Blackwell Science 1997.]]
[17]
Seiden, P. E. & Celada, F., A model for simulation cognate recognition and response in the immune system. Journal of Theoretic Biology, 158(3): 329--357, 1992.]]
[18]
Stadnyk, I., Schema Recombination in Pattern Recognition Problems. Proc. 2nd International Conference on Genetic Algorithms and their Applications, Hillsdale, N. J., 1987. Lawrence Erlbaum Assoc.]]
[19]
Stephen Wolfram: Articles on Cellular Automata (1983). Retrieved March 1, 2004, from http://www.stephenwolfram.com/publications/articles/ca/]]
[20]
Zorzenon dos Santos, R. M. & Coutinho, S., Dynamics of HIV infection: A cellular automata approach. Physical Review Letters, 87(16) 2001.]]

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    cover image ACM Conferences
    SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
    March 2005
    1814 pages
    ISBN:1581139640
    DOI:10.1145/1066677
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    Published: 13 March 2005

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    Author Tags

    1. HIV
    2. agent-based simulation
    3. artificial immune system
    4. complex adaptive system
    5. evolutionary computation

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    March 13 - 17, 2005
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    • (2018)Parallel Pair-Wise Interaction for Multi-Agent Immune Systems Modelling2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM.2018.8621404(1367-1373)Online publication date: Dec-2018
    • (2018)Graphical dynamical systems and their applications to bio-social systemsInternational Journal of Advances in Engineering Sciences and Applied Mathematics10.1007/s12572-018-0237-611:2(153-171)Online publication date: 15-Dec-2018
    • (2018)Adaptation and Self-organization in Life and SocietyEnergy, Information, Feedback, Adaptation, and Self-organization10.1007/978-3-319-66999-1_13(627-660)Online publication date: 4-Jan-2018
    • (2017)Bio-Network Inspired Cooperative Intelligent ControllersBio-Inspired Collaborative Intelligent Control and Optimization10.1007/978-981-10-6689-4_6(233-277)Online publication date: 10-Nov-2017
    • (2016)Agent-Based Modeling and High Performance ComputingComputational Immunology10.1016/B978-0-12-803697-6.00006-0(79-111)Online publication date: 2016
    • (2012)A Cognitive Model of Immune System for Increasing Security in Distributed SystemsProceedings of the 2012 UKSim 14th International Conference on Modelling and Simulation10.1109/UKSim.2012.33(181-186)Online publication date: 28-Mar-2012
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    • (2011)Immune System Simulation with Biological Agent Based on Capra Cognitive FrameworkProceedings of the 2011 UKSim 13th International Conference on Modelling and Simulation10.1109/UKSIM.2011.32(122-127)Online publication date: 30-Mar-2011
    • (2011)Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System ApprochProceedings of the 2011 Tenth International Symposium on Autonomous Decentralized Systems10.1109/ISADS.2011.28(204-208)Online publication date: 23-Mar-2011
    • (2011)Effect of Learning and Database in Robustness of Security ToolsProceedings of the 2011 UKSim 5th European Symposium on Computer Modeling and Simulation10.1109/EMS.2011.36(47-52)Online publication date: 16-Nov-2011
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