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Article
A membrane computing framework for social navigation in robotics
(Elsevier, 2021)
A mobile robot acting in a human environment should follow social conventions, keeping safety distances and navigating at moderate speeds, in order to respect people in its surroundings and avoid obstacles in real-time. ...
Article
Polarizationless P Systems with Active Membranes: Computational Complexity Aspects
(Institut für Informatik, Justus-Liebig-Universität Giessen, 2016)
P systems with active membranes, in their classical definition, make use of noncooperative rules only. However, it is well known that in living cells, proteins interact among them yielding new products. Inspired by this ...
Presentation
Simulating Spiking Neural P Systems Without Delays Using GPUs
(Fénix Editora, 2011)
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for ...
Presentation
Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems
(IMCS: International Membrane Computing Society, 2019)
Solving the feasibility problem in robotic motion planning means to find feasible trajectories for specific mobile robots acting in environments with obstacles whose positions are known a priori. The Rapidly-exploring ...
Presentation
A Framework for Evolving Spiking Neural P Systems with Rules on Synapses
(IMCS: International Membrane Computing Society, 2019)
In this paper, we present a genetic algorithm framework for evolving Spiking Neural P Systems with rules on synapses (RSSNP systems, for short). Starting with an initial RSSNP system, we use the genetic algorithm framework ...
Presentation
A Framework for Evolving Spiking Neural P Systems
(IMCS: International Membrane Computing Society, 2019)
In current literature, there is a lack of research on the optimization of spiking neural P systems (SN P systems) and, consequently, also a lack of automation to do this process of optimization. We address this gap by ...
Presentation
CuSNP: Spiking Neural P Systems Simulators in CUDA
(IMCS: International Membrane Computing Society, 2016)
Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. In this work, we report our ongoing e orts to improve simulators for SN P systems. CuSNP is a project involving ...
Presentation
Improving Simulations of Spiking Neural P Systems in NVIDIA CUDA GPUs: CuSNP
(Fénix, 2016)
Spiking neural P systems (in short, SN P systems) are parallel models of computations inspired by the spiking ( ring) of biological neurons. In SN P systems, neurons function as spike processors and are placed on nodes ...
Article
A new P-Lingua toolkit for agile development in membrane computing
(Elsevier, 2022)
Membrane computing is a massively parallel and non-deterministic bioinspired computing paradigm whose models are called P systems. Validating and testing such models is a challenge which is being overcome by developing ...
Article
Cooperative P Systems and the P Versus NP Problem
(IMCS: International Membrane Computing Society, 2017)
The P versus NP problem is undoubtedly the most important open question in computer science. Frontiers of tractability or efficiency expressed by means of syntactic or semantic ingredients in the framework of Membrane ...