We prove that arbitrary single-tape Turing machines can be simulated by uniform families of P systems with active membranes with a cubic slowdown and quadratic space overhead. This result is the culmination of a series of previous partial results, finally establishing the equivalence (up to a polynomial) of many space complexity classes defined in terms of P systems and Turing machines. The equivalence we obtained also allows a number of classic computational complexity theorems, such as Savitch's theorem and the space hierarchy theorem, to be directly translated into statements about membrane systems
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
5noThe decision problems solved in polynomial time by P systems with elementary active membranes are...
We show that exponential-space P systems with active membranes characterize the complexity class EX...
5noWe show that a constant amount of space is sufficient to simulate a polynomial-space bounded Turi...
We define space complexity classes in the framework of membrane computing, giving some initial resul...
We define space complexity classes in the framework of membrane computing, giving some initial resul...
Two proofs have been shown for P systems with active membranes in previ- ously published papers, de...
We investigate the in uence that the ow of information in membrane systems has on their computat...
5noThe computational power of membrane systems, in their different variants, can be studied by defin...
We define space complexity classes in the framework of membrane computing, giving some initial resul...
AbstractA P system is a natural computing model inspired by information processing in cells and cell...
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
5noThe decision problems solved in polynomial time by P systems with elementary active membranes are...
We show that exponential-space P systems with active membranes characterize the complexity class EX...
5noWe show that a constant amount of space is sufficient to simulate a polynomial-space bounded Turi...
We define space complexity classes in the framework of membrane computing, giving some initial resul...
We define space complexity classes in the framework of membrane computing, giving some initial resul...
Two proofs have been shown for P systems with active membranes in previ- ously published papers, de...
We investigate the in uence that the ow of information in membrane systems has on their computat...
5noThe computational power of membrane systems, in their different variants, can be studied by defin...
We define space complexity classes in the framework of membrane computing, giving some initial resul...
AbstractA P system is a natural computing model inspired by information processing in cells and cell...
AbstractWe show how techniques in machine-based complexity can be used to analyze the complexity of ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
We characterise the computational complexity of biological systems to assess their utility as novel ...
5noThe decision problems solved in polynomial time by P systems with elementary active membranes are...