P Systems with External Input and Learning Strategies

This is a preliminary work in which we propose a variant of P systems by adding in every region a dynamic engine that allows the change of the internal rewriting rules along the computation time, obtaining in this way a new family of P systems with adaptation to changing environments. They will be called adaptative P systems. Here, the engine that we propose to act inside every membrane is based on learning algorithms under the grammatical inference framework. The behavior of every region changes according to the information received from the external environment and the internal regions.