Abstract
An artificial regulatory network able to reproduce a number of phenomena found in natural genetic regulatory networks (such as heterochrony, evolution, stability and variety of network behavior) is proposed. The connection to a new genetic representation for Genetic Programming is outlined.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Altenberg, L. (1995). Genome growth and the evolution of the genotype-phenotype map. In Evolution and Biocomputation, W. Banzhaf and F. H. Eeckman (Eds. ), pp. 205–259. Springer-Verlag, Berlin, Germany.
Banzhaf, W. (1994). Genotype-phenotype-mapping and neutral variation -A case study in genetic programming. In Parallel Problem Solving from Nature III (Jerusalem, 9–14 Oct. 1994).
Y. Davidor, H. -P. Schwefel, and R. Manner (Eds. ), pp. 322–332. Vol. 866 of Lecture Notes in Computer Science (LNCS). Springer.
Banzhaf, W., Nordin, P., Keller, R. and Francone, F. (1998). Genetic Programming - An Introduction. Morgan Kaufmann, San Francisco, CA.
Bellman, R. (1961). Adaptive Control Processes: A Guided Tour. Princeton University Press, Princeton, NJ.
Bongard, J. and Pfeifer, R. (2002). Behavioral selection pressure generates hierarchical genetic regulatory networks. In Proceedings of the Genetic and Evolutionary Computation Conference, W. B. Langdon et al. (Ed. ), Morgan Kaufmann.
Dassow, G., Meir, E., Munro, E., and Odell, G. (2000). The segment polarity network is a robust developmental module. Nature 406: 188–192.
Davidson, E. (2001). Genomic Regulatory Systems. Academic Press, San Diego, CA.
Eggenberger, P. (1997). Evolving morphologies of simulated 3d organisms based on differential gene expression. In Proceedings of the 4th European Conference on Artificial Life (1997). I. Harvey and P. Husbands (Eds. ), pp. 205–213. Springer Verlag.
Fogel, D. (1995). Evolutionary Computation. IEEE Press, New York.
Fogel, L., Owens, A. and Walsh, M. (1965). Artificial intelligence through a simulation of evolution. In Biophysics and Cybernetic Systems, M. Maxfield, A. Callahan, and L. Fogel (Eds. ), pp. 131–155.
Freeland, S. J. (2002). The darwinian genetic code: An adaptation for adapting? Genetic Pro-gramming and Evolvable Machines 3: 113–127.
Goldberg, D. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, Reading MA.
Gould, S. (2002). The Structure of Evolutionary Theory. Belknap Press of Harvard University Press, Cambridge, MA.
Hirsch, M. and Smale, S. (1997). Differential Equations, Dynamical Systems and Linear Algebra. Academic Press, Reading, MA.
Holland, J. H. (1992). Adaptation in Natural and Artificial Systems, second edition. The MIT Press, Cambridge, MA.
Kargupta, H. (2002). Editorial: Special Issue on Computation in Gene Expression. Genetic Programming and Evolvable Machines 3: 111–112.
Keller, R. and Banzhaf, W. (1996). Genetic programming using genotype-phenotype mapping from linear genomes into linear phenotypes. In Genetic Programming 1996: Proceedings of the First Annual Conference (Stanford University, CA, USA, July 1996), J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo (Eds. ), pp. 116–122. MIT Press.
Keller, R. and Banzhaf, W. (1999). The evolution of genetic code in genetic programming. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999) (Orlando, Florida, USA, July 1999), W. Banzhaf et al (Eds. ), pp. 1077–1086. Morgan Kaufmann.
Kennedy, P. and Osborn, T. (2001). A model of gene expression and regulation in an artificial cellular organism. Complex Systems 13(1).
Koza, John (1992). Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge, MA, USA.
Koza, J. R., Andre, D., Bennett, F. H. III and Keane, M. (1999). Genetic Programming 3: Darwinian Invention and Problem Solving. Morgan Kaufman, San Francisco, CA, USA.
McKinney, M. (1999). Heterochrony: Beyond words. Paleobiology 25: 149–153.
McKinney, M. and McNamara, K. (1991). Heterochrony: The Evolution of Ontogeny. Plenum Press, New York, NY.
Nordin, P., Banzhaf, W. and Francone, F. D. (1999). Efficient Evolution of Machine Code for CISC Architectures using Instruction Blocks and Homologous Crossover. In Advances in Genetic Programming 3, L. Spector et al. (Eds. ), pp. 275–299. The MIT Press, Cambridge, MA, USA.
O’Neill, M., Ryan, C, Keijzer, M. and Cattolico, M. (2003). Crossover in grammatical evolution. Genetic Programming and Evolvable Machines 4: 67–93.
Rechenberg, I. (1994). Evolutionsstrategie “93. Frommann Verlag, Stuttgart.
Reil, T. (1999). Dynamics of gene expression in an artificial genome - implications for biological and artificial ontogeny. In Proceedings of the 5th European Conference on Artificial Life, D. Floreano et al. (Eds. ), pp. 457–466. Springer.
Schwefel, H. -P. (1995). Evolution and Optimum Seeking. Sixth-Generation Computer Technology Series. John Wiley & Sons, Inc., New York.
Spector, L. and Stoffel, K. (1996). Ontogenetic programming. In Genetic Programming 1996: Proceedings of the First Annual Conference (Cambridge, MA, 28–31 July 1996), J. R. Koza (Eds. ), pp. 394–399 The MIT Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Banzhaf, W. (2003). Artificial Regulatory Networks and Genetic Programming. In: Riolo, R., Worzel, B. (eds) Genetic Programming Theory and Practice. Genetic Programming Series, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8983-3_4
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8983-3_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4747-7
Online ISBN: 978-1-4419-8983-3
eBook Packages: Springer Book Archive