Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Journal of Computer and System Sciences
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Fundamenta Informaticae - Membrane computing
A New Class of Symbolic Abstract Neural Nets: Tissue P Systems
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
Artificial Life Applications of a Class of P Systems: Abstract Rewriting Systems on Multisets
WMP '00 Proceedings of the Workshop on Multiset Processing: Multiset Processing, Mathematical, Computer Science, and Molecular Computing Points of View
Theoretical Computer Science
Applications of Membrane Computing (Natural Computing Series)
Applications of Membrane Computing (Natural Computing Series)
Fundamenta Informaticae
Bioinformatics
On descriptive complexity of p systems
WMC'04 Proceedings of the 5th international conference on Membrane Computing
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The formal verification of a Spiking Neural P System (SN P Systems, for short) designed for solving a given problem is usually a hard task. Basically, the verification process consists of the search of invariant formulae such that, once proved their validity, show the right answer to the problem. Even though there does not exist a general methodology for verifying SN P Systems, in (P驴un et al., Int J Found Comput Sci 17(4):975---1002, 2006) a new tool based on the transition diagram of the P system has been developed for helping the researcher in the search of invariant formulae. In this paper we show a software tool which allows to generate the transition diagram of an SN P System in an automatic way, so it can be considered as an assistant for the formal verification of such computational devices.