Structural oscillatority analysis of Boolean networks
Shun‐ichi Azuma, Takahiro Yoshida, Toshiharu Sugie
Abstract
Shun‐ichi Azuma, Takahiro Yoshida, Toshiharu Sugie
Abstract
Boolean networks are system models where binary-state nodes are interconnected and the dynamics of each node is described by Boolean functions. A number of studies have been conducted so far, while it is usually assumed that the full information of the target system is available in analysis and design. Meanwhile, this paper addresses a structural analysis problem of Boolean networks, i.e., where the information on the network structure is available but that on the node dynamics is unavailable. In particular, we consider here the oscillatority (instability) and present a necessary and sufficient condition for Boolean networks with a flower-shaped network structure to be structurally-oscillatory.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Boolean networks are system models where binary-state nodes are interconnected and the dynamics of each node is described by Boolean functions. A number of studies have been conducted so far, while it is usually assumed that the full information of the target system is available in analysis and design. Meanwhile, this paper addresses a structural analysis problem of Boolean networks, i.e., where the information on the network structure is available but that on the node dynamics is unavailable. In particular, we consider here the oscillatority (instability) and present a necessary and sufficient condition for Boolean networks with a flower-shaped network structure to be structurally-oscillatory.
Key concepts: And-inverter graph, Boolean network, Boolean function, Computer science, Standard Boolean model, Node (physics), Theoretical computer science, Boolean circuit