AAAI Conference 1996 Short Paper
Experiments in Evolutionary Synthesis of Robotic Neurocontrollers
- Karthik Balakrishnan
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.