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A self-organized one-neuron controller for artificial life on wheels
2017
Proceedings of the 14th European Conference on Artificial Life ECAL 2017
We study simulated animats in terms of wheeled robots with the most simple neural controller possible -a single neuron per actuator. The system is fully self-organized in the sense that the controlling neuron receives uniquely the actual angle of the wheel as an input. Non-trivial locomotion results in structured environments, with the robot determining autonomously the direction of movement (time-reversal symmetry is spontaneously broken). Our controller, which mimics the mechanism used to
doi:10.7551/ecal_a_031
dblp:conf/ecal/GrosMS17
fatcat:vfsdfwldavdjff3kox4rnuqrjy