Emergence of genetic coding: An information-theoretic model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4648 LNAI, Issue , 2007, Pages 42-52

  Piraveenan, Mahendra ^a   Polani, Daniel ^b   Prokopenko, Mikhail ^a  

^a CSIRO   (Australia)

^b UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; EVOLUTIONARY ALGORITHMS; INFORMATION DISSEMINATION; NUCLEIC ACIDS;

COUPLED SYSTEM; ENVIRONMENTAL NOISE; EVOLUTIONARY DYNAMICS; POTENTIAL ENCODING;

GENE ENCODING;

EID: 38049010382     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74913-4_5     Document Type: Conference Paper

References (19)

1. Woese, C.R.: A new biology for a new century. Microbiology and Molecular Biology Reviews 68(2), 173-186 (2004)
2. Woese, C.R.: The emergence of genetic organization. In: Ponnamperuma, C. (ed.) Exobiology, pp. 301-341. North-Holland Publishing, Amsterdam (1972)
3. Vetsigian, K., Woese, C.R., Goldenfeld, N.: Collective evolution of the genetic code. Proc. Natl. Acad. Sci. USA 103, 10696-10701 (2006)
4. Woese, C.R.: The universal ancestor. Proc. Natl. Acad. Sci. USA 95, 6854-6859 (1998)
5. Woese, C.R., Fox, G.E.: The concept of cellular evolution. J. Mol. Evol. 10, 1-6 (1977)
6. Barbieri, M.: The organic codes: an introduction to semantic biology. Cambridge University Press, Cambridge (2003)
7. Woese, C.R.: On the evolution of the genetic code. Proc. Natl. Acad. Sci. USA 54, 1546-1552 (1965)
8. Klyubin, A.S., Polani, D., Nehaniv, C.L.: All else being equal be empowered. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds.) ECAL 2005. LNCS (LNAI), vol. 3630, pp. 744-753. Springer, Heidelberg (2005)
9. Prokopenko, M., Wang, P., Valencia, P., Price, D., Foreman, M., Farmer, A.: Self-organizing hierarchies in sensor and communication networks. Artificial Life 11, 407-426 (2005)
10. Prokopenko, M., Gerasimov, V., Tanev, I.: Measuring spatiotemporal coordination in a modular robotic system. In: Rocha, L.M., Yaeger, L.S., Bedau, M.A., Floreano, D., Goldstone, R.L., Vespignani, A. (eds.) Artificial Life X: Proceedings of The 10th International Conference on the Simulation and Synthesis of Living Systems, Bloomington IN, USA, pp. 185-191 (2006)
11. Prokopenko, M., Gerasimov, V., Tanev, I.: Evolving spatiotemporal coordination in a modular robotic system. In: Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J.C.T., Marocco, D., Meyer, J.-A., Miglino, O., Parisi, D. (eds.) SAB 2006. LNCS (LNAI), vol. 4095, pp. 558-569. Springer, Heidelberg (2006)
12. Klyubin, A.S., Polani, D., Nehaniv, C.L.: Representations of space and time in the maximization of information flow in the perception-action loop. Neural Computation, accepted 17 October 2006 (in press, 2007)
13. Adami, C.: Introduction to Artificial Life. Springer, Heidelberg (1998)
14. Laughlin, S.B., de Ruyter van Steveninck, R.R., Anderson, J.C.: The metabolic cost of neural information. Nature Neuroscience 1(1), 36-41 (1998)
15. Zurek, W.H.: Valuable Information. In: Zurek, W.H. (ed.) Complexity, Entropy and the Physics of Information. Santa Fe Studies in the Sciences of Complexity, Addison-Wesley, Reading (1990)
16. Prigogine, I.: From Being to Becoming: Time and Complexity in the Physical Sciences. W.H. Freeman & Co, San Francisco (1980)
17. Haken, H.: Synergetics, an Introduction: Nonequilibrium Phase Transitions and SelfOrganization in Physics, Chemistry, and Biology, 3rd edn. Springer, Heidelberg (1983)
18. Todd, P.M., Miller, G.F.: Exploring adaptive agency ii: Simulating the evolution of associative learning. In: Meyer, J.-A., Wilson, S.W. (eds.) From animals to animats: Proceedings of the First International Conference on Simulation of Adaptive Behavior, pp. 306-315. MIT Press, Cambridge (1991)
19. Eigen, M.: Self-organization of matter and evolution of biological macromolecules. Naturwissenschaften 58(10), 465-523 (1971)