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Boolean network

Known as: Kauffman lightbulb experiment, Boolean, Random boolean network 
A Boolean network consists of a discrete set of Boolean variables each of which has a Boolean function (possibly different for each variable… 
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Papers overview

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2016
2016
The communication between processing elements is facing challenges due to power, area, and latency. Temporary storage of flits… 
2009
2009
Boolean networks have been successfully used in modelling gene regulatory networks. In this paper we propose a reduction method… 
2007
2007
Boolean networks are models of genetic regulatory networks. S. Kauffman based many of his claims about spontaneous self… 
2004
2004
Abstraction refinement is a key technique for applying model checking to the verification of real-world digital systems. In… 
1998
1998
A variant of a simple method for chaos control is applied to achieve control in random Boolean networks (RBNs). It is shown that… 
1997
1997
A new cultivar of Impatiens sultani plant named Orange Ice, characterized by its orange flower color, its fully double consistent… 
1997
1997
A variant of a simple method for chaos control is applied to achieve control in random Boolean networks (RBN). It is shown that a… 
1989
1989
The most popular neural network models for use in speech recognition experiments are employ model neurons which apply a nonlinear… 
1989
1989
Classifier systems are quite complicated, in terms of both their components and behavior. This complexity is understandable given… 
1987
1987
Kauffman's model is a Boolean network having k quenched random connections per node, and evolving deterministically in time…