Abstract
This paper presents a model of the co-evolution of transmissible disease and a population of non-randomly mixed susceptible agents. The presence of the disease elements is shown to prevent the onset of genetic convergence of the agent population. The epidemiological model also acts in a distributed fashion to counter the tendency of the agent population to occupy spatially close-knit communities. The simulation applies a modified mathematical SIR epidemiological model of disease transmission in combination with the well-studied technique of artificial ecosystems. It includes various aspects of disease transmission that are not usually modelled due to the effort required to incorporate them into mathematical models. These include a distributed agent population with non-uniform infectiousness and immunity as well as a mutable disease model with evolving latency and infections that evolve to prey on diverse agent characteristics.
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Dorin, A.: The Virtual Ecosystem as Generative Electronic Art. In: 2nd European Workshop on Evolutionary Music and Art, Applications of Evolutionary Computing: EvoWorkshops 2004, Coimbra, Portugal, pp. 467–476. Springer, Heidelberg (2004)
Yaeger, L.: Computational Genetics, Physiology, Metabolism, Neural Systems, Learning, Vision and Behavior or Polyworld: Life in a New Context. In: Artificial Life III, pp. 263–298. Addison-Wesley, Reading (1992)
Todd, P.M.: Artificial Death. Jahresing 41, 90–107 (1994) (German modern art yearbook)
Mascaro, S., Korb, K.B., Nicholson, A.E.: Suicide as an Evolutionary Stable Strategy. In: Kelemen, J., SosÃk, P. (eds.) ECAL 2001. LNCS (LNAI), vol. 2159, pp. 120–133. Springer, Heidelberg (2001)
Ray, T.S.: An Approach to the Synthesis of Life. In: Artificial Life II, Santa Fe, New Mexico, pp. 371–408. Addison Wesley, Reading (1990)
Cartlidge, J., Bullock, S.: Caring Versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 299–308. Springer, Heidelberg (2003)
Hillis, W.D.: Co-Evolving Parasites Improve Simulated Evolution as an Optimization Procedure. In: Artificial Life II, Santa Fe, New Mexico, pp. 313–324. Addison-Wesley, Reading (1990)
Ackerman, E., Elvebeck, L.R., Fox, J.P.: Simulation of Infectious Disease Epidemics. Charles C Thomas Springfield, Illinois (1984)
Bailey, N.T.J.: The Mathematical Theory of Infectious Diseases and Its Applications, vol. 2. Charles Griffin & Company, London (1975)
Durrett, R., Levin, S.: The Importance of Being Discrete (and Spatial). Theoretical Population Biology 46(3), 363–394 (1994)
Willox, R., Grammaticos, B., Carstea, A.S., Ramani, A.: Epidemic Dynamics: Discrete-Time and Cellular Automaton Models. Physica A 328, 13–22 (2003)
Martins, M.L., Ceotto, G., Alves, S.G., Bufon, C.C.B., Silva, J.M., Laranjeira, F.F.: A Cellular Automata Model for Citrus Variagated Chlorosis 10 (2000) eprint arXiv: cond-mat/0008203
Pilot Projects for Models of Infectious Disease Agent Study (Midas). Webpage. National Institute of General Medical Sciences (NIGMS) (Accessed: October 2004), http://grants.nih.gov/grants/guide/rfa-files/RFA-GM-03-008.html
Kermack, W.O., McKendrick, A.G.: Contributions to the Mathematical Theory of Epidemics. Proceedings of the Royal Society, London 115, 700–721 (1927)
Dorin, A.: Artificial Life, Death and Epidemics in Evolutionary, Generative Electronic Art. In: Rothlauf, F. (ed.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 448–457. Springer, Heidelberg (2005)
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Dorin, A. (2005). A Co-evolutionary Epidemiological Model for Artificial Life and Death. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_78
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DOI: https://doi.org/10.1007/11553090_78
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