Modelling stigmergic gene transfer

Artificial Life XI: Proceedings of the 11th International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2008

Volumn , Issue , 2008, Pages 490-497

  Polani, Daniel ^a   Prokopenko, Mikhail ^b   Chadwick, Matthew ^b  

^a UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ENCODED INFORMATION; ERROR THRESHOLD; GENETIC CODE; INDIVIDUAL DYNAMICS; NOISY ENVIRONMENT; PROTOCELLS;

DYNAMICS; GENE TRANSFER; INFORMATION THEORY; SEPARATION;

BIOLOGICAL SYSTEMS;

EID: 79959974372     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Adami, C. (1998). Introduction to Artificial Life. Springer, New York.
2. Bennett, C. H. (1990). How to define complexity in physics, and why. In Zurek (1990), pages 137-148.
3. Bialek, W., de Ruyter van Steveninck, R. R., and Tishby, N. (2007). Efficient representation as a design p rinciple for neural coding and computation. In preparation.
4. Crutchfield, J. P. (1990). Information and its Metric. In Lam, L. and Morris, H. C., editors, Nonlinear Structures in Physical Systems - Pattern Formation, Chaos and Waves, pages 119- 130. Springer Verlag.
5. Klyubin, A., Polani, D., and Nehaniv, C. (2007). Representations of space and time in the maximization of information flow in the perception-action loop. Neural Computation, 19(9):2387-2432.
6. Laughlin, S. B., Anderson, J. C., Carroll, D. C., and de Ruyter van Steveninck, R. R. (2000). Coding efficiency and the metabolic cost of sensory and neural information. In Baddeley, R., Hancock, P., and Földiák, P., editors, Information Theory and the Brain, pages 41-61. Cambridge University Press.
7. Lloyd, A. (1995). The coupled logistic map: A simple model for the effects of spatial heterogeneity on population dynamics. J. Theor. Biol., 173:217-230.
8. Lloyd, S. (1990). Valuable information. In Zurek (1990), pages 193-197.
9. Piraveenan, M., Polani, D., and Prokopenko, M. (2007). Emergence of genetic coding: an information-theoretic model. In Almeida e Costa, F., Rocha, L., Costa, E., Harvey, I., and Coutinho, A., editors, Advances in Artificial Life: 9th European Conference on Artificial Life (ECAL-2007), Lisbon, Portugal, September 10-14, volume 4648 of Lecture Notes in Artificial Intelligence, pages 42-52. Springer.
10. Prokopenko, M., Gerasimov, V., and Tanev, I. (2006). Evolving spatiotemporal coordination in a modular robotic system. In Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J., Marocco, D., Meyer, J.-A., and Parisi, D., editors, From Animals to Animats 9: 9th International Conference on the Simulation of Adaptive Behavior (SAB 2006), volume 4095 of Lecture Notes in Computer Science, pages 558-569. Springer.
11. Vetsigian, K., Woese, C., and Goldenfeld, N. (2006). Collective evolution and the genetic code. PNAS, 103(28):10696- 10701.
12. Woese, C. R. (1965). On the evolution of the genetic code. Proc. Natl. Acad. Sci. USA, 54:1546-1552.
13. Woese, C. R. (2004). A new biology for a new century. Microbiology and Molecular Biology Reviews, 68(2):173-186.
14. Zurek, W. H., editor (1990). Complexity, Entropy and the Physics of Information, Santa Fe Studies in the Sciences of Complexity, Reading, Mass. Addison-Wesley.