Results 231 to 240 of about 140,409 (275)
SIMPLIFYING BOOLEAN NETWORKS [PDF]
Advances in Complex Systems, 2005 This paper explores the compressibility of complex systems by considering the simplification of Boolean networks. A method, which is similar to that reported by Bastolla and Parisi,4,5is considered that is based on the removal of frozen nodes, or stable variables, and network "leaves," i.e. those nodes with outdegree = 0.
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Identification problems for Boolean networks and Boolean control networks
IFAC Proceedings Volumes, 2014Abstract In this paper we address various forms of identification problems for Boolean networks (BNs) and for Boolean control networks (BCNs). For the former, we assume to have a set of infinite or finite support output trajectories and we want to identify a BN compatible with those trajectories.
FORNASINI, ETTORE, VALCHER, MARIA ELENA
openaire +2 more sources
Boolean Network Probabilities and Network Design
IEEE Transactions on Computers, 1978The correspondence between Boolean network probabilities and the design formalisms of Ledley and Aiken is demonstrated.
McCluskey, Edward J. +2 more
openaire +2 more sources
Cybernetics and Systems, 1981
Random boolean networks are defined and used as models of systems composed of many interacting components. Computer simulations showing the organization of these networks in subnets, as well as a temporal organization in limit cycles are reported. The influence of the different boolean laws on this organization is investigated and results concerning ...
H. ATLAN +3 more
openaire +1 more source
Random boolean networks are defined and used as models of systems composed of many interacting components. Computer simulations showing the organization of these networks in subnets, as well as a temporal organization in limit cycles are reported. The influence of the different boolean laws on this organization is investigated and results concerning ...
H. ATLAN +3 more
openaire +1 more source
Evolving Critical Boolean Networks
2019Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have shown the possibility of achieving Boolean networks with given characteristics by means of evolutionary techniques. In this work we make a further step towards more biologically plausible models by aiming at evolving networks with a given fraction of active
Salvatore Magrì +3 more
openaire +1 more source
2017 29th Chinese Control And Decision Conference (CCDC), 2017
Nominal Boolean network is a kind of Boolean network, which is obtained from a Boolean control network with all controls disconnected. In this paper, the relationship between the transition matrix of the original Boolean control network and the transition matrix of the corresponding nominal Boolean control network is investigated.
Xingbang Cui, Jun-e Feng, Sen Wang
openaire +1 more source
Nominal Boolean network is a kind of Boolean network, which is obtained from a Boolean control network with all controls disconnected. In this paper, the relationship between the transition matrix of the original Boolean control network and the transition matrix of the corresponding nominal Boolean control network is investigated.
Xingbang Cui, Jun-e Feng, Sen Wang
openaire +1 more source
2011
In this chapter we give a brief introduction to random Boolean networks. This a topic of considerable current interest and the results are abundant, so a detailed discussion is beyond the scope of this book. What we present here are just the basics.
Daizhan Cheng, Hongsheng Qi, Zhiqiang Li
openaire +1 more source
In this chapter we give a brief introduction to random Boolean networks. This a topic of considerable current interest and the results are abundant, so a detailed discussion is beyond the scope of this book. What we present here are just the basics.
Daizhan Cheng, Hongsheng Qi, Zhiqiang Li
openaire +1 more source
Learning in feedforward Boolean networks
Physical Review A, 1990We investigate, in detail, the learning process in a feedforward Boolean network. Such a network transforms a set of n binary inputs into a binary output, i.e., it implements an n-variable Boolean function. If the network is constructed at random, the various possible Boolean functions are implemented with widely different probabilities.
, Van den Broeck C, , Kawai
openaire +2 more sources
Boolean Network Games and Iterated Boolean Games
2015A Boolean Network Game is a game played on a network structure. Players choose actions depending on the actions of those in their neighbourhood and attempt to achieve some goal expressed in a modification of Linear Temporal Logic over an infinite run. Iterated Boolean Games are similar, but lack network structure.
Jeremy Seligman, Declan Thompson
openaire +1 more source
Reduction of Boolean network models
Journal of Theoretical Biology, 2011Boolean networks have been successfully used in modelling gene regulatory networks. However, for large networks, analysis by simulation becomes unfeasible. In this paper we propose a reduction method for Boolean networks that decreases the size of the network, while preserving important dynamical properties and topological features.
openaire +3 more sources