The handbook of brain theory and neural networks
A Neural Network Generating Adaptive Rhythms for Controlling Behavior Based Robotic Systems
SBRN '08 Proceedings of the 2008 10th Brazilian Symposium on Neural Networks
NSP: a Neuro---Symbolic Processor
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
A robotic architecture with innate releasing mechanism
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
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The introduction in Robotics of models inspired by biological clocks may be useful in order to cope with a number of problems, like, for example, an efficient resources management in the sensorial pattern elaboration, the coordination of different and parallel behaviors and the ability, for a robotic system, to adapt its emergent behavior to different contexts providing an emergent action selection mechanism. In this paper we present a general purpose neural-net able to obtain adaptive periodical controllers, described by means of the NSBL. NSBL is a Neuro-Symbolic Behavior modeling Language that allows one to express propositional logical inference and to translate them into the logically equivalent neural network. Such general periodic clocks are peculiar to each behavior, and their periods are influenced by the sensor input changing rate. In this way, the Robotic System is able to adapt its reaction time coherently to the changes occurring in the environment and to its internal state. To test our architecture we investigate the case of two conflicting behaviors.