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Observability of Periodically Switched Boolean Control Networks
In this paper, observability is studied for periodically switched Boolean control networks (PSBCNs), which are managed with periodic switching signal...
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Phenotype Control techniques for Boolean gene regulatory networks
Modeling cell signal transduction pathways via Boolean networks (BNs) has become an established method for analyzing intracellular communications...
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A matrix approach to the analysis and computation of robust cycles for Boolean control networks with disturbances
This paper studies several types of robust control cycles (RCCs) for the Boolean control networks (BCNs) affected by disturbances using semi-tensor...
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Set Stability of Probabilistic Time-Delay Boolean Networks with Impulsive Effect
This paper investigates the set stability of probabilistic time-delay Boolean networks (PTDBN) with impulsive effect. Firstly, using the algebraic...
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Boolean Models of the Transport, Synthesis, and Metabolism of Tryptophan in Escherichia coli
The tryptophan ( trp ) operon in Escherichia coli codes for the proteins responsible for the synthesis of the amino acid tryptophan from chorismic...
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The Boolean Determinant Calculus
In this paper, the Boolean Determinant Calculus is introduced. This calculus allows the computation of a Boolean expression of a given combinatorial...
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Pseudo-Boolean Conditional Optimization Models for a Class of Multiple Traveling Salesmen Problems
AbstractWe consider knowledge-oriented models, problems, and algorithms for routing traveling salesmen in complex networks. The formalization leads...
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Observability for Markovian Jump Boolean Network with Random Delay Effect in States
This article investigates the observability for Markovian jump Boolean network with random delay effect (MJBNRDE) in states which including two...
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Discrete Dynamical System Approaches for Boolean Polynomial Optimization
In this article, we discuss the numerical solution of Boolean polynomial programs by algorithms borrowing from numerical methods for differential...
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Cyclic attractors of nonexpanding q-ary networks
Discrete dynamical systems in which model components take on categorical values have been successfully applied to biological networks to study their...
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Logics in Fungal Mycelium Networks
The living mycelium networks are capable of efficient sensorial fusion over very large areas and distributed decision making. The information...
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Opinion dynamics on social networks
Opinion dynamics has recently attracted much attention, and there have been a lot of achievements in this area. This paper first gives an overview of...
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Robust Feedback Set Stabilization of Logic Networks with State-Dependent Uncertain Switching and Control Constraints
This study investigates the robust feedback set stabilization of switched logic control networks (SLCNs) with state-dependent uncertain switching and...
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ReLU neural networks of polynomial size for exact maximum flow computation
This paper studies the expressive power of artificial neural networks with rectified linear units. In order to study them as a model of real-valued ...
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Modelling Oscillatory Patterns in the Bovine Estrous Cycle with Boolean Delay Equations
Boolean delay equations (BDEs), with their relatively simple and intuitive mode of modelling, have been used in many research areas including, for...
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Modeling Transport Regulation in Gene Regulatory Networks
A gene regulatory network summarizes the interactions between a set of genes and regulatory gene products. These interactions include transcriptional...
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On the compounding of higher order monotonic pseudo-Boolean functions
Compounding submodular monotone (i.e. 2-alternating) set functions on a finite set preserves this property, as shown in 2010. A natural...
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On Efficiency and Predictability of the Dynamics of Discrete-Time Boolean Networks
We discuss possible interpretations of “(in)efficient” and “(un)predictable” systems when those concepts are applied to discrete networks and their...
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Neural Networks Universality, Geometric, and Dynamical System Elements for Fluid Animation
In this chapter, we start with basic elements of Boolean expressions and circuit theory to define a background to study neural networks as...