scholarly journals Stochastic Game Theory Approach to Robust Synthetic Gene Network Design

Game Theory ◽  
10.5772/9789 ◽  
2010 ◽  
Author(s):  
Bor-Sen Chen ◽  
Cheng-Wei Li ◽  
Chien-Ta Tu
Keyword(s):  
Game Theory ◽  
Network Design ◽  
Gene Network ◽  
Stochastic Game ◽  
Synthetic Gene ◽  
Theory Approach ◽  
Synthetic Gene Network ◽  
Stochastic Game Theory

Multiobjective H2/H∞ synthetic gene network design based on promoter libraries

2011 ◽  
Vol 233 (2) ◽  
pp. 111-125 ◽  
Author(s):  
Chih-Hung Wu ◽  
Weihei Zhang ◽  
Bor-Sen Chen
Keyword(s):  
Network Design ◽  
Gene Network ◽  
Synthetic Gene ◽  
Synthetic Gene Network

scholarly journals Robust synthetic gene network design via library-based search method

2011 ◽  
Vol 27 (19) ◽  
pp. 2700-2706 ◽  
Author(s):  
Chih-Hung Wu ◽  
Hsiao-Ching Lee ◽  
Bor-Sen Chen
Keyword(s):  
Network Design ◽  
Gene Network ◽  
Search Method ◽  
Synthetic Gene ◽  
Synthetic Gene Network

scholarly journals Uptake of Diagnostic Tests by Livestock Farmers: A Stochastic Game Theory Approach

2020 ◽  
Vol 7 ◽  
Author(s):  
Sibylle Mohr ◽  
Rodney Beard ◽  
Alasdair J. Nisbet ◽  
Stewart T. G. Burgess ◽  
Richard Reeve ◽  
...  
Keyword(s):  
Game Theory ◽  
Diagnostic Tests ◽  
Stochastic Game ◽  
Theory Approach ◽  
Livestock Farmers ◽  
Stochastic Game Theory

scholarly journals Robust synthetic biology design: stochastic game theory approach

2009 ◽  
Vol 25 (14) ◽  
pp. 1822-1830 ◽  
Author(s):  
Bor-Sen Chen ◽  
Chia-Hung Chang ◽  
Hsiao-Ching Lee
Keyword(s):  
Game Theory ◽  
Synthetic Biology ◽  
Stochastic Game ◽  
Theory Approach ◽  
Stochastic Game Theory

scholarly journals Phenotypic states become increasingly sensitive to perturbations near a bifurcation in a synthetic gene network

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Kevin Axelrod ◽  
Alvaro Sanchez ◽  
Jeff Gore
Keyword(s):  
Gene Network ◽  
Environmental Variability ◽  
Synthetic Gene ◽  
Phenotypic Switching ◽  
Proper Function ◽  
Critical Transition ◽  
Environmental Perturbations ◽  
The Face ◽  
Synthetic Gene Network ◽  
Open Question

Microorganisms often exhibit a history-dependent phenotypic response after exposure to a stimulus which can be imperative for proper function. However, cells frequently experience unexpected environmental perturbations that might induce phenotypic switching. How cells maintain phenotypic states in the face of environmental fluctuations remains an open question. Here, we use environmental perturbations to characterize the resilience of phenotypic states in a synthetic gene network near a critical transition. We find that far from the critical transition an environmental perturbation may induce little to no phenotypic switching, whereas close to the critical transition the same perturbation can cause many cells to switch phenotypic states. This loss of resilience was observed for perturbations that interact directly with the gene circuit as well as for a variety of generic perturbations-such as salt, ethanol, or temperature shocks-that alter the state of the cell more broadly. We obtain qualitatively similar findings in natural gene circuits, such as the yeast GAL network. Our findings illustrate how phenotypic memory can become destabilized by environmental variability near a critical transition.

Internal noise stochastic resonance of synthetic gene network

2005 ◽  
Vol 401 (1-3) ◽  
pp. 307-311 ◽  
Author(s):  
Zhiwei Wang ◽  
Zhonghuai Hou ◽  
Houwen Xin
Keyword(s):  
Stochastic Resonance ◽  
Gene Network ◽  
Internal Noise ◽  
Synthetic Gene ◽  
Synthetic Gene Network

Synthetic Gene Network for Entraining and Amplifying Cellular Oscillations

2002 ◽  
Vol 88 (14) ◽  
Author(s):  
Jeff Hasty ◽  
Milos Dolnik ◽  
Vivi Rottschäfer ◽  
James J. Collins
Keyword(s):  
Gene Network ◽  
Synthetic Gene ◽  
Synthetic Gene Network

Numerical solution of quasi-variational inequalities arising in stochastic game theory

1995 ◽  
Vol 31 (1) ◽  
pp. 19-39
Author(s):  
S. A. Belbas ◽  
I. D. Mayergoyz
Keyword(s):  
Game Theory ◽  
Variational Inequalities ◽  
Numerical Solution ◽  
Stochastic Game ◽  
Stochastic Game Theory

A quest toward a mathematical theory of the dynamics of swarms

2017 ◽  
Vol 27 (04) ◽  
pp. 745-770 ◽  
Author(s):  
Nicola Bellomo ◽  
Seung-Yeal Ha
Keyword(s):  
Game Theory ◽  
Global Existence ◽  
Mathematical Theory ◽  
Stochastic Game ◽  
Collective Learning ◽  
Smooth Solutions ◽  
Microscopic Scale ◽  
Research Perspectives ◽  
Game Theoretic ◽  
Stochastic Game Theory

This paper addresses some preliminary steps toward the modeling and qualitative analysis of swarms viewed as living complex systems. The approach is based on the methods of kinetic theory and statistical mechanics, where interactions at the microscopic scale are nonlocal, nonlinearly additive and modeled by theoretical tools of stochastic game theory. Collective learning theory can play an important role in the modeling approach. We present a kinetic equation incorporating the Cucker–Smale flocking force and stochastic game theoretic interactions in collision operators. We also present a sufficient framework leading to the asymptotic velocity alignment and global existence of smooth solutions for the proposed kinetic model with a special kernel. Analytic results on the global existence and flocking dynamics are presented, while the last part of the paper looks ahead to research perspectives.

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