A New Type of Robot Brain
Andy Balaam · 2001
The design and implementation of a possible alternative to ArtificialNeuralNetworks (ANNs) for agent controlis described. This alternative, known as the nBrain, uses the phase-space representation as the inspiration for a controller. The agent progresses to different states due to the presence of attractors in phase space, whose locations are set by the robot's genome. Severalexperiments with simul ated agents are described. The experiments were successfulin that tasks which have been performed by ANNs in the past were successfully accomplished by nBrains under evolution. The possible advantages and disadvantages of nBrains over ANNs are discussed, and directions for future work are presented.