Informational Landscapes in Art, Science, and Evolution

Abstract

An informational landscape refers to an array of information related to a particular theme or function. The Internet is an example of an informational landscape designed by humans for purposes of communication. Once it exists, however, any informational landscape may be exploited to serve a new purpose. Listening Post is the name of a dynamic multimedia work of art that exploits the informational landscape of the Internet to produce a visual and auditory environment. Here, I use Listening Post as a prototypic example for considering the creative role of informational landscapes in the processes that beget evolution and science.

References

  1. Atlan, H., 1987. Self-creation of meaning. Phys. Scr. 36, 563.

    Article  Google Scholar 

  2. Atlan, H., Cohen, I.R., 1998. Immune information, self-organization and meaning. Int. Immunol. 10(6), 711–717.

    Article  Google Scholar 

  3. Chaitin, G.J., 1998, 1999, 2001, 2002. The Limits of Mathematics, The Unknowable, Exploring Randomness, Conversations with a Mathematician. Springer-Verlag, Berlin.

    Google Scholar 

  4. Cohen, I.R., 2000. Tending Adam’s Garden: Evolving the Cognitive Immune Self. Academic Press, London.

    Google Scholar 

  5. Cohen, I.R., 2005. Regen und Auferstehung: Talmud und Naturwissenschaft im Dialog mit der Welt. Vandenhoek & Ruprecht, Göttingen, Germany.

    Google Scholar 

  6. Cohen, I.R., Atlan, H., 2003. Limits to genetic explanations impose limits on the human genome project. In: Encyclopedia of the Human Genome. Nature Publishing Group, Macmillan, New York.

    Google Scholar 

  7. Cohen, J., 2003. HIV. Escape artist par excellence. Science 299(5612), 1505–1508.

    Article  Google Scholar 

  8. Conant, J.B., 1951. Science and Common Sense. Yale University Press, New Haven, CT, p. 25.

    Google Scholar 

  9. Darwin, C., 1859. The Origin of Species.

  10. Dehal, P., Boore, J.L., 2005. Two rounds of whole genome duplication in the ancestral vertebrate. Plos Biol. 3(10), e314.

    Article  Google Scholar 

  11. Efroni, S., Harel, D., Cohen, I.R., 2003. Toward rigorous comprehension of biological complexity: modeling, execution, and visualization of thymic T-cell maturation. Genome Res. Nov 13(11), 2485–2497.

    Article  Google Scholar 

  12. Efroni, S., Harel, D., Cohen, I.R., (2005). The meaning of theory in complex systems. In: Paton, R.C. (Ed.), Multidisciplinary Approaches to Theory in Medicine. Elsiever Science, New York.

  13. Gibson, E., 2003. Poised Between Old and New. The Gallery. The Wall Street Journal, February 14.

  14. Gould, S.J., Lewontin, R., 1979. The spandrels of San Marco and the panglossian paradigm: a critique of the adaptationist programme. Proc. R. Soc. Lond. B205, 581–598.

    Article  Google Scholar 

  15. Harel, D., 1987. Statecharts: a visual formalism for complex systems. Sci. Comput. Program. 8, 231–274.

    MATH  Article  MathSciNet  Google Scholar 

  16. Hoffman, J.I., Boyd, I.L., Amos, W., 2004. Exploring the relationship between parental relatedness and male reproductive success in the Antarctic fur seal Arctocephalus gazella. Evol. Int. J. Org. Evol. 58(9), 2087–2099.

    Google Scholar 

  17. Kahn, D., 1996. The Codebreakers: The Comprehensive History of Secret Communication from Ancient Times to the Internet, Rev. edn. Simon & Schuster, New York.

    Google Scholar 

  18. Kimura, M., 1983. The Neutral Theory of Molecular Evolution. Cambridge University Press, Cambridge, UK.

    Google Scholar 

  19. Lenski, R.E., Ofria, C.O., Pennock, R.T., Adami, C., 2003. The evolutionary origin of complex features. Nature 423, 139–144.

    Article  Google Scholar 

  20. Morrison, D., 2003. Impacts and evolution: Future prospects. Astrobiology 3(1), 193–205.

    Article  Google Scholar 

  21. Neuman, Y., 2004. Meaning-making in the immune system. Perspect. Biol. Med. 47(3), 317–327.

    Article  Google Scholar 

  22. Pennisi, E., 2003. Tracing life’s circuitry. Science 302, 1646.

    Article  Google Scholar 

  23. Plotkin, H., 2001. Darwin Machines and the Nature of Knowledge. Harvard University Press, Cambridge, MA.

    Google Scholar 

  24. Popper, K., 2002. The Logic of Scientific Discovery, 15th edn. Routledge, London.

    Google Scholar 

  25. Robertson, D.S., 1991. Feedback theory and Darwinian evolution. J. Theor. Biol. 152(4), 469–484.

    Article  Google Scholar 

  26. Segel, L.A., Bar-Or, R.L., 1999. On the role of feedback in promoting conflicting goals of the adaptive immune system. J. Immunol. 163(3), 1342–1349.

    Google Scholar 

  27. Shannon, C.E., 1948. A mathematical theory of communication. Bell Syst. Tech. J. 30, 50.

    MathSciNet  Google Scholar 

  28. Waddington, C.H., 1940. Organizers and Genes. Cambridge University Press, Cambridge, UK.

    Google Scholar 

  29. Weisbuch, G., Solomon, S., 2002. Social percolators and self organized criticality. In: Bornholdt, S., Schuster, H.G. (Eds.), Handbook of Graphs and Networks: From the Genome to the Internet. Wiley-VCH, Berlin, pp. 113–132.

    Google Scholar 

  30. Wolfram, S., 2002. A New Kind of Science, Wolfram Media, Champaign IL.

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Irun R. Cohen.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Cohen, I.R. Informational Landscapes in Art, Science, and Evolution. Bull. Math. Biol. 68, 1213–1229 (2006). https://doi.org/10.1007/s11538-006-9118-4

Download citation

Keywords

  • Information
  • Meaning
  • Complexity
  • Fitness
  • Understanding