We investigate the in uence that the ow of information in membrane systems has on their computational complexity. In particular, we analyse the behaviour of P systems with active membranes where communication only happens from a membrane towards its parent, and never in the opposite direction. We prove that these \monodirectional P systems" are, when working in polynomial time and under standard complexity-theoretic assumptions, much less powerful than unrestricted ones: indeed, they characterise classes of problems de ned by polynomial-time Turing machines with NP oracles, rather than the whole class PSPACE of problems solvable in polynomial space
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We show that exponential-space P systems with active membranes characterize the complexity class EX...
Trading (in polynomial time) space for time in the framework of membrane systems is not sufficient t...
5noWe investigate the influence that the flow of information in membrane systems has on their comput...
We prove that uniform families of P systems with active membranes operat- ing in polynomial time ca...
We prove that arbitrary single-tape Turing machines can be simulated by uniform families of P system...
AbstractA P system is a natural computing model inspired by information processing in cells and cell...
Among the computational features that determine the computing power of polarizationless P systems wi...
We identify a family of decision problems that are hard for some complexity classes defined in term...
5noThe decision problems solved in polynomial time by P systems with elementary active membranes are...
We prove that monodirectional shallow chargeless P systems with active membranes and minimal cooper...
We study the computational efficiency of recognizer P systems with active membranes without polariz...
In this work we revisit the basic concepts, definitions of computational complexity theory in membr...
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We investigate polarizationless P systems with active membranes working in maximally parallel manne...
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We show that exponential-space P systems with active membranes characterize the complexity class EX...
Trading (in polynomial time) space for time in the framework of membrane systems is not sufficient t...
5noWe investigate the influence that the flow of information in membrane systems has on their comput...
We prove that uniform families of P systems with active membranes operat- ing in polynomial time ca...
We prove that arbitrary single-tape Turing machines can be simulated by uniform families of P system...
AbstractA P system is a natural computing model inspired by information processing in cells and cell...
Among the computational features that determine the computing power of polarizationless P systems wi...
We identify a family of decision problems that are hard for some complexity classes defined in term...
5noThe decision problems solved in polynomial time by P systems with elementary active membranes are...
We prove that monodirectional shallow chargeless P systems with active membranes and minimal cooper...
We study the computational efficiency of recognizer P systems with active membranes without polariz...
In this work we revisit the basic concepts, definitions of computational complexity theory in membr...
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We investigate polarizationless P systems with active membranes working in maximally parallel manne...
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We show that exponential-space P systems with active membranes characterize the complexity class EX...
Trading (in polynomial time) space for time in the framework of membrane systems is not sufficient t...