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Boolean network
Known as:
Kauffman lightbulb experiment
, Boolean
, Random boolean network
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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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Related topics
Related topics
13 relations
Adjacency matrix
Biological network inference
Gene regulatory network
Graph dynamical system
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Broader (1)
Bioinformatics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Technology Dependent Solutions for Buffering Policies of Network on Chip Targeting FPGA Platforms
Liyaqat Nazir
,
R. N. Mir
2016
Corpus ID: 53667537
The communication between processing elements is facing challenges due to power, area, and latency. Temporary storage of flits…
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2016
2016
New Neural Network for Real-Time Human Dynamic Motion Prediction
Mohammad Bataineh
2016
Corpus ID: 108864089
Research in the field of human simulation has led to significant advancement in quality, time, and cost management for products…
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2013
2013
Computational approaches to analyze complex dynamic systems: model-checking and its applications. Part 4: Models and algorithms to analyze large-scale concurrent systems: approaches inspired by pi…
Morgan Magnin
2013
Corpus ID: 61775562
2008
2008
A Dynamical Boolean Network
Genta Ito
arXiv.org
2008
Corpus ID: 3264925
We propose a Dynamical Boolean Network (DBN), which is a Virtual Boolean Network (VBN) whose set of states is fixed but whose…
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2007
2007
Analysis of random Boolean networks using the average sensitivity
Steffen Schober
,
M. Bossert
2007
Corpus ID: 2616259
In this work we consider random Boolean networks that provide a general model for genetic regulatory networks. We extend the…
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2007
2007
DYNAMICS OF RANDOM BOOLEAN NETWORKS
J. Lynch
2007
Corpus ID: 331443
Boolean networks are models of genetic regulatory networks. S. Kauffman based many of his claims about spontaneous self…
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2003
2003
Threshold Behavior in a Boolean Network Model for SAT
A. Bugacov
,
A. Galstyan
,
Kristina Lerman
International Conference on Artificial…
2003
Corpus ID: 8176743
Boolean satisfiability (SAT) is the canonical NP-complete problem that plays an important role in AI and has many practical…
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1997
1997
Matching a Boolean Function against a Set of Functions
Uwe Hinsberger
,
Reiner Kolla
1997
Corpus ID: 117990614
A new cultivar of Impatiens sultani plant named Orange Ice, characterized by its orange flower color, its fully double consistent…
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1996
1996
A Comparison between Cellular Encoding and DirectEncoding for Genetic Neural
Fr Ed
,
eric Gruau
,
Darrell Whitley Larry
,
Pyeatt Cwi
,
Kruislaan
1996
Corpus ID: 17511913
This paper compares the eeciency of two encoding schemes for Artiicial Neu-ral Networks optimized by evolutionary algorithms…
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1989
1989
The Dynamical Behavior of Classifier Systems
John H. Miller
,
S. Forrest
International Conference on Genetic Algorithms
1989
Corpus ID: 16715580
Classifier systems are quite complicated, in terms of both their components and behavior. This complexity is understandable given…
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