Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems is proposed, called ...

In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the Rapidly-exploring Random ...

Presumably efficient computing models are characterized by their capability to provide polynomial-time solutions for NPcomplete problems. Given a classRof recognizer membrane systems,Rdenotes the set of decision problems ...

The habitat of the green-veined white butterfly Pieris oleracea in eastern North America has undergone invasions by the exotic plant garlic mustard (Alliaria petiolata), which is replacing native hosts of P. oleracea such ...

Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software ...

Tissue P systems are one of the currently active research topics within the field of Membrane Computing. In particular, their computational efficiency is being investigated in the case when the number of cells can grow ...

In the framework of Membrane Computing, several tools to tackle the P versus NP problems by means of frontiers of the efficiency expressed in terms of syntactic or semantic ingredients, have been developed. In this paper, ...

In the present work we obtain several representations of the rank func- tion associated to a well founded relation in terms of transitive and supertransitive closures, by means of transfinite recursion theorems con- cerning ...

GPUs constitute nowadays a solid alternative for high performance computing, and the advent of CUDA/OpenCL allow programmers a friendly model to accelerate a broad range of applications. The way GPUs exploit parallelism ...