Modular genetic neural networks for 6-Legged locomotion

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

Volumn 1063, Issue , 1996, Pages 199-219

  Gruau, Frédéric ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL LANGUAGES; GENETIC ALGORITHMS; GENETIC PROGRAMMING; ROBOT PROGRAMMING;

AUTOMATIC GENERATION; COMPUTATIONALLY EFFICIENT; DEVELOPMENTAL SYSTEMS; GENETIC NEURAL NETWORK; GRAPH GRAMMAR; SIX LEGGED ROBOT; SUBNETWORKS;

NEURAL NETWORKS;

EID: 84949309755     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61108-8_39     Document Type: Conference Paper

References (25)

1. D. Ackley and M. Littman. The interaction between learning and evolution. In Artificial life II, 1991.
2. Randall Beer. Intelligence as adaptive behavior. Academic Press, 1990.
3. Randall Beer and John Gallagher. Evolving dynamical neural networks for adaptive behavior. Adaptive Behavior, 1:92-122, 1992.
4. R. Belew. Interposing an ontogenic model between genetic algorithms and neural networks. In Neural Information Processing System 5th, 1993.
5. E.J.W. Boers and H. Kuiper. Biological Metaphor and the design of modular artificial neural networks. Master Thesis, Leiden University, the Netherlands, 1992.
6. Rodney Brooks. Intelligence without representation. Artificial Intelligence, 47:139-159, 1991.
7. Dave Cliff, Inmahn Harvey, and Phil Hubands. Explorations in evolutionary robotics. Adaptive Behavior, 2:73-110, 1993.
8. R. Collins and D. Jefferson. Selection in massively parallel genetic algorithm. In Proc. of 4th International Conf. on Genetic Algorithms, 1991.
9. F. Dellaert and D. Beer. Co-evolving body and brain in autonomous agent using a developmental model. Ces94-16, Case Western University, 1994.
10. F. Gruau. Genetic synthesis of boolean neural networks with a cell rewriting developmental process. In Combination of Genetic Algorithms and Neural Networks, 1992.
11. F. Gruau. The mixed parallel genetic algorithm. In Parallel Computing 93, 1993.
12. F. Gruau. Neural Network Synthesis using Cellular Encoding and the Genetic Algorithm. PhD Thesis, Ecole Normale Supérieure de Lyon, 1994. anonymous ftp: hp.ens-lyon.fr (140.77.1.11) directory pub/Rapports/PhD file PhD94-01-E.ps.Z (english) PhD94-01-F.ps.Z (french).
13. F. Gruau, J. Ratajszczak, and G. Wiber. A neural compiler. Theoretical Computer Science, 1994. to appear.
14. F. Gruau and D. Whitley. Adding learning to the the cellular developmental process: a comparative study. Evolutionary Computation VIN3, 1993.
15. U. Muller-Wilm H. Cruse and J. Dean. Artificial neural nets for controlling a 6legged walking system. In Second International Conference on Simulation of Adaptive Behavior, 1993.
16. D. Hubei and T. Wiesel. Brain mechanisms of vision. Scientific American, 1979.
17. H. Kitano. Designing neural network using genetic algorithm with graph generation system. Complex Systems, 4:461-476, 1992.
18. John R. Koza. Genetic programming: A paradigm for genetically breeding computer population of computer programs to solve problems. MIT press, 1992.
19. John R. Koza. Genetic programming II: Automatic Discovery of reusable programs. MIT press, 1994.
20. Eric Mjolness, David Sharp, and Bradley Alpert. Scaling, machine learning and genetic neural nets. La-ur-88-142, Los Alamos National Laboratory, 1988.
21. H. Muehlenbein, M. Schomish, and J.Born. The parallel genetic algorithm as function optimizer. Parallel Computing, 17:619-632, 1991.
22. Parisi and Nolfi. Morphogenesis of neural networks. Technical report, University of Rome, 1992.
23. P. Prusinkiewicz and A. Lindenmmayer. The algorithm beauty of plants. 1992.
24. Karl Sims. Evolving 3d morphology and behavior by competition. In R. Brook and P. Maes, editors, 4th Intern. Conf. on Artificial Life, MIT Ress, 1994.
25. J. Vaario. An emergent modeling method for artificial neural networks. PhD Thesis, University of Tokyo, 1993.