A dual adaptive cellular automaton model based on a composite field and pedestrian heterogeneity

2021 ◽  
pp. 126334
Author(s):  
Xinwei Zhang ◽  
Peihong Zhang ◽  
Maohua Zhong
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Model Based ◽  
Composite Field

Simulation of Tacit Knowledge Sharing among Organizations Using a Cellular Automaton Model

2012 ◽  
Vol 263-266 ◽  
pp. 3184-3187
Author(s):  
Yu Yu ◽  
Qin Fen Shi ◽  
Yang Huang
Keyword(s):  
Cellular Automaton ◽  
Knowledge Sharing ◽  
Bounded Rationality ◽  
Tacit Knowledge ◽  
Simulation Software ◽  
Cellular Automaton Model ◽  
Control Parameters ◽  
Model Based ◽  
Tacit Knowledge Sharing ◽  
Sharing Behavior

Knowledge entities can be divided into egoists and altruists based on the various behaviors of tacit knowledge entities out of bounded rationality in the knowledge sharing process. Focusing on the evolvement of tacit knowledge entities’ sharing behavior among organizations, this paper chose knowledge sharing benefits and knowledge sharing costs as control parameters, and a tacit knowledge sharing model based on Cellular Automaton was proposed. Effects of the two control parameters on knowledge sharing behaviors and strategies were simulated with NetLogo, a professional simulation software, and related suggestions were put forward based on the results, which would enhance the tacit knowledge sharing among organizations.

scholarly journals CELLULAR AUTOMATON MODEL AND MEASUREMENTS OF AUTOWAVE SPLITTING

1996 ◽  
Vol 06 (10) ◽  
pp. 1837-1844 ◽  
Author(s):  
ALBERTO P. MUÑUZURI ◽  
MARIO MARKUS
Keyword(s):  
Light Intensity ◽  
Cellular Automaton ◽  
Satisfactory Agreement ◽  
Light Pulse ◽  
Topological Charge ◽  
Recovery Time ◽  
Cellular Automaton Model ◽  
Excitation Threshold ◽  
Model Based ◽  
Random Grid

A cellular automaton model — based on a semi-random grid to prevent numerical anisotropies — is adapted to calculate the response of the ruthenium-catalyzed Belouzov–Zhabotinsky reagent to a light pulse. In the automaton, increased light intensity is associated with increased excitation threshold and decreased recovery time. Simulations predict splitting (backfiring) of autowaves, which are experimentally confirmed. Optimization of automaton parameters leads to satisfactory agreement with measurements. In particular, splitting of a spiral leads to its destruction, as it generates and then collides with a spiral of opposite topological charge. Furthermore, splitting leads to soliton-like behavior (conservation) of colliding planar waves.

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