On modelling the immune system as a complex system
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We argued that immune system is an adaptive complex system. It is shown that it has emergent properties. Its network structure is of the small world network type. The network is of the threshold type, which helps in avoiding autoimmunity. It has the property that every antigen (e.g. virus or bacteria) is typically attacked by more than one effector. This stabilizes the equilibrium state. Modelling complex systems is discussed. Cellular automata (CA)-type models are successful, but there are much less analytic results about CA than about other less successful models e.g. partial differential equations (PDE). A compromise is proposed.
KeywordsCellular Automaton Cellular Automaton Emergent Property Immune Effector Small World Network
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- Ahmed, E., Hassan, S.Z., 2000. On Diffusion in Some Biological and Economic Systems. Z. Naturforsch. 55a, 669.Google Scholar
- Diekmann, O., Durrett, R., Hadeler, K.P., Maini, P., Smith, H.L., Capasso, V. (Eds.), 2000. Mathematics Inspired by Biology. Springer, Germany.Google Scholar
- Hachinski, A., 2001 Cellular Automata. World Scientific publishers, Singapore.Google Scholar
- Nowak, M.A., May, R.M., 2001. Virus Dynamics: Mathematical Principles of Immunology and Virology. Oxford University Press, UK.Google Scholar
- Roitt, I.M., Delves, P.J., 2001. Essential Immunology. Blackwell Publ., UK.Google Scholar
- Segel, L.A., Cohen, R., 2001. Design Principles for the Immune System and other Distributed Autonomous Systems. Oxford University Press, UK.Google Scholar
- Smith, J.B., 2003. Complex systems. CS 0303020.Google Scholar