Artificial Life, Death and Epidemics in Evolutionary, Generative Electronic Art

1. Yaeger, L.: Computational Genetics, Physiology, Metabolism, Neural Systems, Learning, Vision and Behavior or Polyworld: Life in a New Context. Artificial Life III, pp. 263–298. Addison-Wesley, Reading (1992)

   Google Scholar 

2. Todd, P.M.: Artificial Death. Jahresing 41 (German modern art yearbook), pp. 90–107 (1994)

   Google Scholar 

3. Mascaro, S., Korb, K.B., Nicholson, A.E.: Suicide as an Evolutionary Stable Strategy. In: 6th European Conference on Advances In Artificial Life, Prague, pp. 120–133. Springer, Heidelberg (2001)

   Chapter  Google Scholar 

4. Ray, T.S.: An Approach to the Synthesis of Life, Santa Fe, New Mexico. Artificial Life II, pp. 371–408. Addison-Wesley, Reading (1990)

   Google Scholar 

5. Cartlidge, J., Bullock, S.: Caring Versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations. In: 7th European Conference on Artificial Life, Dortmund, Germany, pp. 299–308. Springer, Heidelberg (2003)

   Google Scholar 

6. Hillis, W.D.: Co-Evolving Parasites Improve Simulated Evolution as an Optimization Procedure, Santa Fe, New Mexico. Artificial Life II, pp. 313–324. Addison-Wesley, Reading (1990)

   Google Scholar 

7. Boeckl, C.M.: Images of Plague and Pestilence: Iconography and Iconology. Truman State University Press Kirksville (2000)

   Google Scholar 

8. Wolbert, K.: Memento Mori: Der Tod Als Thema Der Kunst Vom Mittelalter Bis Zur Gegenwart. Das Landesmuseum Darmstadt (1984)

   Google Scholar 

9. Atkins, R., Sokolowski, T.W.: From Media to Metaphor: Art About Aids. Independent Curators Incorporated New York (1991)

   Google Scholar 

10. 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)

    Google Scholar 

11. Ackerman, E., Elvebeck, L.R., Fox, J.P.: Simulation of Infectious Disease Epidemics. Charles C Thomas Springfield, Illinois (1984)

    Google Scholar 

12. Bailey, N.T.J.: The Mathematical Theory of Infectious Diseases and Its Applications. 2. Charles Griffin & Company London (1975)

    Google Scholar 

13. Willox, R., Grammaticos, B., Carstea, A.S., Ramani, A.: Epidemic Dynamics: Discrete-Time and Cellular Automaton Models. Physica A 328, 13–22 (2003)

    Article  MATH  MathSciNet  Google Scholar 

14. 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, p. 10, (2000) eprint arXiv: cond-mat/0008203

    Google Scholar 

15. 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

16. Kermack, W.O., McKendrick, A.G.: Contributions to the Mathematical Theory of Epidemics. Proceedings of the Royal Society, London 115, 700–721 (1927)

    Article  Google Scholar 

Download references