Extending Artificial Development: Exploiting Environmental Information for the Achievement of Phenotypic Plasticity

Author:

Tufte Gunnar,Haddow Pauline C.

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Kitano, H.: Designing neural networks using genetic algorithms with graph generation systems. Complex Systems 4(4), 461–476 (1990)

2. Sipper, M., Sanchez, E., Mange, D., Tomassini, M., Pérez-Uribe, A., Stauffer, A.: A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Transactions on Evolutionary Computation 1(1), 83–97 (1997)

3. Lantin, M., Fracchia, F.: Generalized context-sensative cell systems. In: Proceedings of Information Processing in Cells and Tissues, University of Liverpool, pp. 42–54 (1995)

4. Larsen, E.W.: Environment, development, and Evolution Toward a Synthesis. In: A View of Phenotypic Plastisity from Molecules to Morphogenisis, pp. 117–124. MIT Press, Cambridge (2004)

5. Lecture Notes in Computer Science;T. Quick,1999

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