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Bibliography

Amores, A., Force, A., Yan, Y.-L., Joly, L., Amemiya, C., Fritz, A., Ho, R. K., Langeland, J., Prince, V., Wang, Y.-L., Westerfield, M., Ekker, M., Postlethwait, J. H. (1998).
Zebrafish HOX clusters and vertebrate genome evolution.
Science, 282, 1711-1784.

Angeline, P. J., Pollack, J. B. (1993).
Competitive environments evolve better solutions for complex tasks .
In Forrest, S. (Ed.), Proceedings of the Fifth International Conference on Genetic Algorithms (pp. 264-270). San Francisco, CA: Morgan Kaufmann.

Angeline, P. J., Saunders, G. M., Pollack, J. B. (1993).
An evolutionary algorithm that constructs recurrent neural networks.
IEEE Transactions on Neural Networks, 5, 54-65.

Attias, H. (2000).
A variational bayesian framework for graphical models .
In Advances in Neural Information Processing Systems, 12 (pp. 209-215). Cambridge, MA: MIT Press.

Blackmore, J., Miikkulainen, R. (1995).
Visualizing high-dimensional structure with the incremental grid growing neural network .
In Prieditis, A., Russell, S. (Eds.), Machine Learning: Proceedings of the 12th Annual Conference (pp. 55-63). San Francisco, CA: Morgan Kaufmann.

Brave, S. (1996).
Evolving deterministic finite automata using cellular encoding.
In Koza, J. R., Goldberg, D. E., Fogel, D. B., Riolo, R. L. (Eds.), Genetic Programming 1996: Proceedings of the First Annual Conference (pp. 39-44). Stanford University, CA, USA: MIT Press.

Carroll, S. B. (1995).
Homeotic genes and the evolution of arthropods and chordates.
Nature, 376, 479-485.

Cliff, D., Harvey, I., Husbands, P. (1993).
Explorations in evolutionary robotics.
Adaptive Behavior, 2, 73-110.

Cybenko, G. (1989).
Approximation by superpositions of a sigmoidal function.
Mathematics of Control, Signals, and Systems, 2 (4), 303-314.

Darwen, P. J. (1996).
Co-Evolutionary Learning by Automatic Modularisation with Speciation.
Doctoral Dissertation, School of Computer Science, University College, University of New South Wales.

Dawkins, R., Krebs, J. R. (1979).
Arms races between and within species.
Proceedings of the Royal Society of London Series B, 205, 489-511.

Fahlman, S. E., Lebiere, C. (1990).
The cascade-correlation learning architecture.
In Touretzky, D. S. (Ed.), Advances in Neural Information Processing Systems 2 (pp. 524-532). San Francisco, CA: Morgan Kaufmann.

Ficici, S. G., Pollack, J. B. (2001).
Pareto optimality in coevolutionary learning.
In Kelemen, J. (Ed.), Sixth European Conference on Artificial Life. Berlin; New York: Springer-Verlag.

Floreano, D., Nolfi, S. (1997).
God save the red queen! Competition in co-evolutionary robotics.
Evolutionary Computation, 5.

Force, A., Lynch, M., Pickett, F. B., Amores, A., lin Yan, Y., Postlethwait, J. (1999).
Preservation of duplicate genes by complementary, degenerative mutations.
Genetics, 151, 1531-1545.

Fritzke, B. (1995).
A growing neural gas network learns topologies .
In G.Tesauro, D.S.Touretzky, T.K.Leen (Eds.), Advances in Neural Information Processing Systems 7 (pp. 625-632). Cambridge, MA: MIT Press.

Goldberg, D. E., Richardson, J. (1987).
Genetic algorithms with sharing for multimodal function optimization .
In Grefenstette, J. J. (Ed.), Proceedings of the Second International Conference on Genetic Algorithms (pp. 148-154). San Francisco, CA: Morgan Kaufmann.

Gomez, F., Miikkulainen, R. (1997).
Incremental evolution of complex general behavior .
Adaptive Behavior, 5, 317-342.

Gruau, F., Whitley, D., Pyeatt, L. (1996).
A comparison between cellular encoding and direct encoding for genetic neural networks.
In Koza, J. R., Goldberg, D. E., Fogel, D. B., Riolo, R. L. (Eds.), Genetic Programming 1996: Proceedings of the First Annual Conference (pp. 81-89). Cambridge, MA: MIT Press.

Harvey, I. (1993).
The Artificial Evolution of Adaptive Behavior .
Doctoral Dissertation, School of Cognitive and Computing Sciences, University of Sussex, Sussex.

Holland, P. W., Garcia-Fernandez, J., Williams, N. A., Sidow, A. (1994).
Gene duplications and the origin of vertebrate development.
Development Supplement, pp. 125-133.

Jim, K.-C., Giles, C. L. (2000).
Talking helps: Evolving communicating agents for the predator-prey pursuit problem .
Artificial Life, 6 (3), 237-254.

Koza, J. (1995).
Gene duplication to enable genetic programming to concurrently evolve both the architecture and work-performing steps of a computer program.
In Proceedings of the 14th International Joint Conference on Artificial Intelligence. Morgan Kaufmann.

Koza, J. R. (1992).
Genetic Programming: On the Programming of Computers by Means of Natural Selection.
Cambridge, MA: MIT Press.

Lindgren, K., Johansson, J. (2001).
Coevolution of strategies in n-person prisoner's dilemma .
In Crutchfield, J., Schuster, P. (Eds.), Evolutionary Dynamics - Exploring the Interplay of Selection, Neutrality, Accident, and Function. Reading, MA: Addison-Wesley.

Lipson, H., Pollack, J. B. (2000).
Automatic design and manufacture of robotic lifeforms .
Nature, 406, 974-978.

Mahfoud, S. W. (1995).
Niching Methods for Genetic Algorithms .
Doctoral Dissertation, University of Illinois at Urbana-Champaign, Urbana, IL.

Maley, C. C. (1999).
Four steps toward open-ended evolution.
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-1999) (pp. 1336-1343). San Francisco, CA: Morgan Kaufmann.

Martin, A. P. (1999).
Increasing genomic complexity by gene duplication and the origin of vertebrates.
The American Naturalist, 154 (2), 111-128.

Mengshoel, O. J. (1999).
Efficient Bayesian Network Inference: Genetic Algorithms, Stochastic Local Search, and Abstraction .
Doctoral Dissertation, University of Illinois at Urbana-Champaign Computer Science Department, Urbana-Champaign, IL.

Miller, G., Cliff, D. (1994).
Co-evolution of pursuit and evasion i: Biological and game-theoretic foundations.
Tech. Rep. CSRP311, School of Cognitive and Computing Sciences, University of Sussex, Brighton, UK.

Miller, J. F., Job, D., Vassilev, V. K. (2000a).
Principles in the evolutionary design of digital circuits - Part I.
Journal of Genetic Programming and Evolvable Machines, 1 (1), 8-35.

Miller, J. F., Job, D., Vassilev, V. K. (2000b).
Principles in the evolutionary design of digital circuits - Part II.
Journal of Genetic Programming and Evolvable Machines, 3 (2), 259-288.

Mitchell, M., Crutchfield, J. P., Das, R. (1996).
Evolving cellular automata with genetic algorithms: A review of recent work.
In Proceedings of the First International Conference on Evolutionary Computation and Its Applications (EvCA'96). Russian Academy of Sciences.

Mondada, F., Franzi, E., Ienne, P. (1993).
Mobile robot miniaturization: A tool for investigation in control algorithms.
In Proceedings of the Third International Symposium on Experimental Robotics (pp. 501-513).

Nadeau, J. H., Sankoff, D. (1997).
Comparable rates of gene loss and functional divergence after genome duplications early in vertebrate evolution.
Genetics, 147, 1259-1266.

Noble, J., Watson, R. A. (2001).
Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for parerto selection.
In et al, L. S. (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001). San Francisco, CA: Morgan Kaufmann.

O'Reilly, U.-M. (2000).
Emergent design: Artificial life for architecture design.
In 7th International Conference on Artificial Life (ALIFE-00). Cambridge, MA: MIT Press.

Postlethwait, H. H., Yan, Y. L., Gates, M. A., Horne, S., Amores, A., Brownlie, A., Donovan, A. (1998).
Vertebrate genome evolution and the zebrafish gene map.
Nature Genetics, 18, 345-349.

Radcliffe, N. J. (1993).
Genetic set recombination and its application to neural network topology optimization.
Neural computing and applications, 1 (1), 67-90.

Radding, C. M. (1982).
Homologous pairing and strand exchange in genetic recombination.
Annual Review of Genetics, 16, 405-437.

Reggia, J. A., Schulz, R., Wilkinson, G. S., Uriagereka, J. (2001).
Conditions enabling the evolution of inter-agent signaling in an artificial world .
Artificial Life, 7, 3-32.

Rosin, C. D. (1997).
Coevolutionary Search Among Adversaries .
Doctoral Dissertation, University of California, San Diego, San Diego, CA.

Rosin, C. D., Belew, R. K. (1997).
New methods for competitive evolution.
Evolutionary Computation, 5.

Ryan, C. (1994).
Pygmies and civil servants .
In Kinnear, Jr., K. E. (Ed.), Advances in Genetic Programming (Chap. 11, pp. 243-263). MIT Press.

Sidow, A. (1996).
Gen(om)e duplications in the evolution of early vertebrates.
Current Opinion in Genetics and Development, 6, 715-722.

Sigal, N., Alberts, B. (1972).
Genetic recombination: The nature of a crossed strand-exchange between two homologous DNA molecules.
Journal of Molecular Biology, 71 (3), 789-793.

Sims, K. (1994).
Evolving 3D morphology and behavior by competition .
In Brooks, R. A., Maes, P. (Eds.), Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems (Artificial Life IV) (pp. 28-39). Cambridge, MA: MIT Press.

Spears, W. (1995).
Speciation using tag bits.
In Handbook of Evolutionary Computation. IOP Publishing Ltd. and Oxford University Press.

Stanley, K. O., Miikkulainen, R. (2002a).
The dominance tournament method of monitoring progress in coevolution.
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002) Workshop Program. San Francisco, CA: Morgan Kaufmann.

Stanley, K. O., Miikkulainen, R. (2002b).
Efficient evolution of neural network topologies .
In Proceedings of the 2002 Congress on Evolutionary Computation (CEC'02). IEEE.

Stanley, K. O., Miikkulainen, R. (2002c).
Efficient reinforcement learning through evolving neural network topologies .
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002). San Francisco, CA: Morgan Kaufmann.

Stanley, K. O., Miikkulainen, R. (2002d).
Evolving neural networks through augmenting topologies.
Evolutionary Computation, 10 (2), 99-127.

Ueda, N., Ghahramani, Z. (2002).
Bayesian model search for mixture models based on optimizing variational bounds .
Neural Networks, 15, 1223-1241.

Van Valin, L. (1973).
A new evolutionary law.
Evolution Theory, 1, 1-30.

Yao, X. (1999).
Evolving artificial neural networks.
Proceedings of the IEEE, 87 (9), 1423-1447.

Zhang, B.-T., Muhlenbein, H. (1993).
Evolving optimal neural networks using genetic algorithms with Occam's razor.
Complex Systems, 7, 199-220.



Kenneth O. Stanley 2004-02-08