scholarly journals Switching dynamics of border ownership: A stochastic model for bi-stable perception

2011 ◽  
Vol 51 (18) ◽  
pp. 2085-2098 ◽  
Author(s):  
Naoki Kogo ◽  
Alessandra Galli ◽  
Johan Wagemans
Keyword(s):  
Stochastic Model ◽  
Switching Dynamics

scholarly journals How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching

2018 ◽  
Vol 5 (3) ◽  
pp. 172176
Author(s):  
Joseph W. Baron ◽  
Tobias Galla
Keyword(s):  
Stochastic Model ◽  
Optimal Switching ◽  
Multiplayer Games ◽  
Sojourn Times ◽  
Switching Dynamics ◽  
Fluctuating Environments ◽  
Probability Of Fixation ◽  
Birth Death

Using a stochastic model, we investigate the probability of fixation, and the average time taken to achieve fixation, of a mutant in a population of wild-types. We do this in a context where the environment in which the competition takes place is subject to stochastic change. Our model takes into account interactions which can involve multiple participants. That is, the participants take part in multiplayer games. We find that under certain circumstances, there are environmental switching dynamics which minimize the time that it takes for the mutants to fixate. To analyse the dynamics more closely, we develop a method by which to calculate the sojourn times for general birth–death processes in fluctuating environments.

A Fruitful Stochastic Model

1964 ◽  
Vol 9 (7) ◽  
pp. 273-276
Author(s):  
ANATOL RAPOPORT
Keyword(s):  
Stochastic Model

A Stochastic Model for Evolution of Altruistic Genes

1996 ◽  
Vol 6 (4) ◽  
pp. 445-453 ◽  
Author(s):  
Roberta Donato
Keyword(s):  
Stochastic Model

SWITCHING DYNAMICS OF BISTABLE CdS ABSORPTIVE PLATELETS

1988 ◽  
Vol 49 (C2) ◽  
pp. C2-153-C2-156 ◽  
Author(s):  
J.-Y. BIGOT ◽  
A. DAUNOIS ◽  
N. CHERKAOUI EDDEQAQI ◽  
J. OBERLE ◽  
M. WEGENER ◽  
...  
Keyword(s):  
Switching Dynamics

A Stochastic Model for the Inheritance of the Cancer Proneness Phenotype

1987 ◽  
Vol 26 (03) ◽  
pp. 117-123
Author(s):  
P. Tautu ◽  
G. Wagner
Keyword(s):  
Stochastic Model ◽  
Gaussian Process ◽  
Covariance Function ◽  
Neoplastic Disease ◽  
Disease Phenotype ◽  
Probabilistic Representation ◽  
Temporal Behaviour ◽  
Continuous Trait ◽  
Continuous Parameter ◽  
Level Zero

SummaryA continuous parameter, stationary Gaussian process is introduced as a first approach to the probabilistic representation of the phenotype inheritance process. With some specific assumptions about the components of the covariance function, it may describe the temporal behaviour of the “cancer-proneness phenotype” (CPF) as a quantitative continuous trait. Upcrossing a fixed level (“threshold”) u and reaching level zero are the extremes of the Gaussian process considered; it is assumed that they might be interpreted as the transformation of CPF into a “neoplastic disease phenotype” or as the non-proneness to cancer, respectively.

Stochastic Model of Traffic Jam and Traffic Signal Control

2011 ◽  
Vol 131 (2) ◽  
pp. 303-310
Author(s):  
Ji-Sun Shin ◽  
Cheng-You Cui ◽  
Tae-Hong Lee ◽  
Hee-hyol Lee
Keyword(s):  
Stochastic Model ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Jam
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