Using Genetic Programming for Turing Machine Induction

Author:

Naidoo Amashini,Pillay Nelishia

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Banzhaf, W., Nordin, P., Keller, R.E., Francone, F.D.: Genetic Programming – An Introduction – On the Automatic Evolution of Computer Programs and its Applications. Morgan Kaufmann Publishers, Inc., San Francisco (1998)

2. Lucas, S.M., Reynolds, T.: Learning DFA: Evolution versus Evidence Driven State Merging. In: The Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pp. 351–358. IEEE Press, Los Alamitos (2003)

3. Lecture Notes in Computer Science;S.M. Lucas,2003

4. Luke, S., Hamahashi, S., Kitano, H.: Genetic Programming. In: Banzhaf, W., Daida, J., Eiben, A.E., Garzan, M.H., Honavar, V., Jakiela, M., Smith, R.E. (eds.) Proceedings of the Genetic Programming and Evolutionary Computation Conference, Orlando, Florida, USA, vol. 2, pp. 1098–1105 (1999)

5. Pereria, F.B., Machado, P., Costa, E., Cardoso, A.: A Graph Based Crossover – A Case Study with the Busy Beaver Problem. In: Banzhaf, W., Daida, J. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference, vol. 2, pp. 1149–1155. Morgan Kaufmann, San Francisco (1999)

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