Numerical P systems with production thresholds

DOI10.1016/j.tcs.2017.02.026zbMath1370.68097OpenAlexW2593703543MaRDI QIDQ524281

Tingfang Wu, Jinbang Xu, Zhi-Qiang Zhang, Lin-Qiang Pan

Publication date: 2 May 2017

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2017.02.026

zbMATH Keywords

universalitymembrane computingrobot controlnumerical P systems

Mathematics Subject Classification ID

Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Artificial intelligence for robotics (68T40)

Related Items

The computational power of enzymatic numerical P systems working in the sequential mode ⋮ Computation power of asynchronous spiking neural P systems with polarizations ⋮ Languages generated by numerical P systems with thresholds ⋮ Migration strategy in distributed adaptive optimization spiking neural P systems ⋮ Asynchronous numerical spiking neural P systems ⋮ Numerical spiking neural P systems with production functions on synapses ⋮ Numerical P systems with Boolean condition ⋮ Small Universal Numerical P Systems with Thresholds for Computing Functions

Cites Work

• Unnamed Item
• Unnamed Item
• On the power of enzymatic numerical P systems
• P systems with minimal parallelism
• Using enzymatic numerical P systems for modeling mobile robot controllers
• Membrane computing. An introduction.
• Fuzzy reasoning spiking neural P system for fault diagnosis
• Universality of Enzymatic Numerical P systems
• Spiking Neural P Systems with Weights
• Homogeneous Spiking Neural P Systems
• Weighted Spiking Neural P Systems with Rules on Synapses
• Spiking Neural P Systems with Thresholds
• Enzymatic Numerical P Systems Using Elementary Arithmetic Operations