Abstract
We investigate a simple artificial regulatory networks (ARNs) able to reproduce phenomena found in natural genetic regulatory networks. Notably heterochrony, a variation in timing of expression, is easily achievable by simple mutations of bits in the genome. It is argued that ARNs are useful and important new genetic representations for artificial evolution.
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References
Banzhaf, W.: Artificial Regulatory Networks and Genetic Programming. In: Riolo, R.L., et al. (eds.) Genetic Programming – Theory and Applications (2003) (to appear)
Banzhaf, W., Nordin, P., Keller, R., Francone, F.: Genetic Programming – An Introduction. Morgan Kaufmann, San Francisco (1998)
Bongard, J., Pfeifer, R.: Behavioral selection pressure generates hierarchical genetic regulatory networks. In: Langdon, W.B., et al. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference, p. 132. Morgan Kaufmann, San Francisco (2002)
Bower, J.M., Bolouri, H. (eds.): Computational Modeling of Genetic and Biochemical Networks. MIT Press, Cambridge (2001)
Davidson, E.H.: Genomic Regulatory Systems. Academic Press, San Diego (2001)
Eggenberger, P.: Evolving morphologies of simulated 3d organisms based on differential gene expression. In: Harvey, I., Husbands, P. (eds.) Proceedings of the 4th European Conference on Artificial Life, pp. 205–213. Springer, Heidelberg (1997)
Fogel, D.B.: Evolutionary Computation. IEEE Press, New York (1995)
Fogel, L.J., Owens, A.J., Walsh, M.J.: Artificial intelligence through a simulation of evolution. In: Maxfield, M., Callahan, A., Fogel, L.J. (eds.) Biophysics and Cybernetic Systems, pp. 131–155 (1965)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Hirsch, M., Smale, S.: Differential Equations, Dynamical Systems and Linear Algebra. Academic Press, Reading (1997)
Holland, J.H.: Adaptation in natural and artificial system. MIT Press, Cambridge (1992)
Hood, L., Galas, D.: The digital code of dna. Nature 421, 444–448 (2003)
Kargupta, H.: Editorial: Special Issue on Computation in Gene Expression. Genetic Programming and Evolvable Machines 3, 111–112 (2002)
Kennedy, P.J., Osborn, T.R.: A model of gene expression and regulation in an artificial cellular organism. Complex Systems, 13 (2001)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge (1992)
McKinney, M.: Heterochrony: Beyond words. Paleobiology 25, 149–153 (1999)
McKinney, M., McNamara, K.: Heterochrony: The Evolution of Ontogeny. Plenum Press, New York (1991)
Neidhardt, F.C.: Escherichia Coli and Salmonella typhimurium. ASM Press, Washington (1996)
Rechenberg, I.: Evolutionsstrategie 1993. Frommann Verlag, Stuttgart (1994)
Reil, T.: Dynamics of gene expression in an artificial genome - implications for biological and artificial ontogeny. In: Floreano, D., et al. (eds.) Proceedings of the 5th European Conference on Artificial Life, pp. 457–466. Springer, Heidelberg (1999)
Schwefel, H.-P.: Evolution and Optimum Seeking. Sixth-Generation Computer Technology Series. John Wiley & Sons, Inc., New York (1995)
Thomas, G.H.: Completing the e. coli proteome: a database of gene products characterised since completion of the genome sequence. Bioinformatics 7, 860–861 (1999)
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Banzhaf, W. (2003). On the Dynamics of an Artificial Regulatory Network. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_24
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DOI: https://doi.org/10.1007/978-3-540-39432-7_24
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