We analyse the computational efficiency of tissue P systems, a biologically-inspired computing device modelling the communication between cells. In particular, we focus on tissue P systems with fission rules (cell division and/or cell separation), where the number of cells can increase exponentially during the computation. We prove that the complexity class characterised by these devices in polynomial time is exactly P^#P, the class of problems solved by polynomial-time Turing machines with oracles for counting problems.
Characterising the complexity of tissue P systems with fission rules / Leporati, Alberto; Manzoni, Luca; Mauri, Giancarlo; Porreca Antonio, E.; Zandron, Claudio. - In: JOURNAL OF COMPUTER AND SYSTEM SCIENCES. - ISSN 0022-0000. - 90:(2017), pp. 115-128. [10.1016/j.jcss.2017.06.008]
Characterising the complexity of tissue P systems with fission rules
Manzoni Luca;
2017-01-01
Abstract
We analyse the computational efficiency of tissue P systems, a biologically-inspired computing device modelling the communication between cells. In particular, we focus on tissue P systems with fission rules (cell division and/or cell separation), where the number of cells can increase exponentially during the computation. We prove that the complexity class characterised by these devices in polynomial time is exactly P^#P, the class of problems solved by polynomial-time Turing machines with oracles for counting problems.| File | Dimensione | Formato | |
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