scholarly journals The interplay between phenotypic and ontogenetic plasticities can be assessed using reaction-diffusion models

2017 ◽  
Vol 43 (2) ◽  
pp. 247-264 ◽  
Author(s):  
Aldo Ledesma-Durán ◽  
Lorenzo-Héctor Juárez-Valencia ◽  
Juan-Bibiano Morales-Malacara ◽  
Iván Santamaría-Holek
Keyword(s):  
Reaction Diffusion ◽  
Diffusion Models

scholarly journals Multi-species reaction–diffusion models admitting shock solutions

2010 ◽  
Vol 2010 (12) ◽  
pp. P12035
Author(s):  
S Masoomeh Hashemi ◽  
Amir Aghamohammadi
Keyword(s):  
Reaction Diffusion ◽  
Diffusion Models

scholarly journals Reaction time for trimolecular reactions in compartment-based reaction-diffusion models

2018 ◽  
Vol 148 (20) ◽  
pp. 204108
Author(s):  
Fei Li ◽  
Minghan Chen ◽  
Radek Erban ◽  
Yang Cao
Keyword(s):  
Reaction Time ◽  
Reaction Diffusion ◽  
Diffusion Models

ON THE RATE OF SPREAD FOR SOME REACTION-DIFFUSION MODELS OF FOREST FIRE PROPAGATION

2004 ◽  
Vol 46 (8) ◽  
pp. 765-784 ◽  
Author(s):  
Khaled Chetehouna ◽  
Mustapha Er-Riani ◽  
Olivier
Keyword(s):  
Forest Fire ◽  
Reaction Diffusion ◽  
Diffusion Models ◽  
Fire Propagation ◽  
Rate Of Spread

Creativity and ALife

2015 ◽  
Vol 21 (3) ◽  
pp. 354-365 ◽  
Author(s):  
Margaret A. Boden
Keyword(s):  
Genetic Algorithms ◽  
Cellular Automata ◽  
Reaction Diffusion ◽  
Evolutionary Programming ◽  
Diffusion Models ◽  
Do So

Three forms of creativity are exemplified in biology and studied in ALife. Combinational creativity exists as the first step in genetic algorithms. Exploratory creativity is seen in models using cellular automata or evolutionary programs. Transformational creativity can result from evolutionary programming. Even radically novel forms can do so, given input from outside the program itself. Transformational creativity appears also in reaction-diffusion models of morphogenesis. That there are limits to biological creativity is suggested by ALife work bearing on instances of biological impossibility.

scholarly journals STEPS: efficient simulation of stochastic reaction–diffusion models in realistic morphologies

2012 ◽  
Vol 6 (1) ◽  
pp. 36 ◽  
Author(s):  
Iain Hepburn ◽  
Weiliang Chen ◽  
Stefan Wils ◽  
Erik De Schutter
Keyword(s):  
Reaction Diffusion ◽  
Diffusion Models ◽  
Efficient Simulation ◽  
Stochastic Reaction
Sign in / Sign up

Export Citation Format

Share Document