Experiments in Evolutionary Synthesis of Robotic Neurocontrollers

Artificial neural networks offer an attractive paradigm for the design of behavior and control systems in robots and autonomous agents for a variety of reasons, including: ability to adapt and learn, potential for resistance to noise, faults and component failures, potential for real-time performance in dynamic environments (through massive parallelism and suitable hardware realization) etc.

Authors

• Karthik Balakrishnan Vasant Honavar

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