Evolving reusable neural modules

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

Volumn 3103, Issue , 2004, Pages 69-81

  Reisinger, Joseph ^a   Stanley, Kenneth O ^a   Miikkulainen, Risto ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; NONLINEAR PROGRAMMING; TOPOLOGY;

CO-EVOLUTIONARY; EVOLUTIONARY SEARCH; EVOLVING ARTIFICIAL NEURAL NETWORKS; HIGH-DIMENSIONAL; MODULAR SOLUTION; NEURO EVOLUTIONS; NEUROEVOLUTION OF AUGMENTING TOPOLOGIES; NON-LINEAR OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 35048879142     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24855-2_7     Document Type: Article

References (21)

1. Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Evolutionary Computation 10 (2002) 99-127
2. Stanley, K.O., Miikkulainen, R.: A taxonomy for artificial embryogeny. Artificial Life 9 (2003) 93-130
3. Hart, W.E., Belew, R.K.: The role of development in genetic algorithms. Technical Report CS94-394, University of California, San Diego, CA (1994)
4. Bongard, J.C.: Evolving modular genetic regulatory networks. In: Proc. of CEC 2002, IEEE Press (2002) 1872-1877
5. Wagner, G., Altenberg, L.: Complex adaptations and the evolution of evolvability. Evolution 50 (1996) 967-976
6. Futuyma, D.J.: Evolutionary biology. Sinauer, (Sunderland, MA)
7. Gruau, F., Whitley, D., Pyeatt, L.: 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, Stanford University, CA, USA, MIT Press (1996) 81-89
8. Nolfi, S.: Using emergent modularity to develop control systems for mobile robots. Adaptive Behavior 5 (1997) 343-363
9. Calabretta, R., Nolfi, S., Parisi, D., Wagner, G.P.: A case study of the evolution of modularity: Towards a bridge between evolutionary biology, artificial life, neuro- and cognitive science. In Adami, C., Belew, R., Kitano, H., Taylor, C., eds.: Proceedings of Artificial Life VI. MIT Press (1998)
10. Watson, R.A., Pollack, J.B.: Symbiotic composition and evolvability. In Kelemen, J., Sosik, P., eds.: Proc. of Advances in Artificial Life, 6th European Conference, (ECAL 2001), Springer (2001) 480-490
11. de Jong, E.D.: Representation development from pareto-coevolution. In: Proc. of GECCO 2003, Morgan-Kaufman (2003)
12. Bentley, P.J., Kumar, S.: Three ways to grow designs: A comparison of embryogenies for an evolutionary design problem. In: Proc. of GECCO'99. (1999) 35-43
13. Stanley, K.O., Miikkulainen, R.: Competitive coevolution through evolutionary complexification. Journal of Artificial Intelligence Research 21 (2004)
14. Radcliffe, N.J.: Genetic set recombination and its application to neural network topology optimization. Neural computing and applications 1 (1993) 67-90
15. Goldberg, D.E., Richardson, J.: (Genetic algorithms with sharing for multimodal function optimization) 148-154
16. Yao, X.: Evolving artificial neural networks. Proc. IEEE 87 (1999) 1423-1447
17. Calabretta, R., Nolfi, S., Parisi, D., Wagner, G.P.: Duplication of modules facilitates the evolution of functional specialization. Artificial Life 6 (2000) 69-84
18. Moriarty, D.E.: Symbiotic Evolution of Neural Networks in Sequential Decision Tasks. PhD thesis, The University of Texas at Austin (1997)
19. Kvasnička, V., Pospíchal, J.: Emergence of modularity in genotype-phenotype mappings. Artificial Life 8 (2002)
20. Gruau, F.: Automatic definition of modular neural networks. Adaptive Behavior 3 (1994) 151-184
21. Belew, R.K., Kammeyer, T.E.: Evolving aesthetic sorting networks using developmental grammars. In Forrest, S., ed.: Proc. of the 5th International Conference on Genetic Algorithms, San Francisco, CA, Morgan Kaufman (1993)