GasNets and CTRNNs – A Comparison in Terms of Evolvability

Author:

Magg Sven,Philippides Andrew

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Beer, R.D.: On the dynamics of small continuous-time recurrent neural networks. Adaptive Behavior 3(4), 471–511 (1995)

2. Beer, R.D.: Toward the evolution of dynamical neural networks for minimally cognitive behavior. In: Maes, P., Mataric, M., Meyer, J., Pollack, J., Wilson, S. (eds.) From animals to animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pp. 421–429. MIT Press, Cambridge (1996)

3. Funahashi, K.: On the approximate realization of continuous mappings by neural networks. Neural Networks 2, 183–192 (1989)

4. Husbands, P., Smith, T., Jakobi, N., O’Shea, M.: Better living through chemistry: Evolving GasNets for robot control. Connection Science 10(3-4), 185–210 (1998)

5. McHale, G., Husbands, P.: GasNets and other Evolvable Neural Networks applied to Bipedal Locomotion. In: From Animals to Animats 8: Proceedings of the Eigth International Conference on Simulation of Adaptive Behavior (SAB 2004) (2004)

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