Hierarchical Space—Time Dynamic Models

Author(s):  
Christopher K. Wikle
Author(s):  
Isuru S. Godage ◽  
Yue Chen ◽  
Kevin C. Galloway ◽  
Emily Templeton ◽  
Brian Rife ◽  
...  

2003 ◽  
Vol 14 (05) ◽  
pp. 673-687 ◽  
Author(s):  
ANDREW ADAMATZKY

In computational experiments with cellular automaton models of affective solutions, where chemical species represent happiness, anger, fear, confusion and sadness, we study phenomena of space–time dynamic of emotions. We demonstrate feasibility of the affective solution paradigm in example of emotional abuse therapy. Results outlined in the present paper offer unconventional but promising technique to design, analyze and interpret spatio-temporal dynamic of mass moods in crowds.


Author(s):  
Gullik A. Jensen ◽  
Thor I. Fossen

This paper considers mathematical models for model-based controller design in offshore pipelay operations. Three classes of models for control design are discussed, real-world models suitable for controller design verification, controller and observer models which are used on-line in the control system implementation. The control application place requirements on the model with respect to the computational time, dynamic behavior, stability and accuracy. Models such as the beam model, two catenary models, as well as general finite element (FE) models obtained from computer programs were not able to meet all of the requirements, and two recent dynamic models designed for control are presented, which bridge the gap between the simple analytical and more complex FE models. For completeness, modeling of the pipelay vessel, stinger and roller interaction, soil and seabed interaction and environmental loads are discussed.


2010 ◽  
Author(s):  
E. Bochove ◽  
A. Aceves ◽  
R. Deiterding ◽  
L. Crabtree ◽  
Y. Braiman ◽  
...  

Author(s):  
Keisuke Suzuki ◽  
Takashi Ikegami

In this paper, the authors study the emergence of homeostasis in a two-layer system of the Game of Life, in which the Game of Life in the first layer couples with another system of cellular automata in the second layer. Homeostasis is defined as a space-time dynamic that regulates the number of cells in state-1 in the Game of Life layer. A genetic algorithm is used to evolve the rules of the second layer to control the pattern of the Game of Life. The authors found that two antagonistic attractors control the numbers of cells in state-1 in the first layer. The homeostasis sustained by these attractors is compared with the homeostatic dynamics observed in Daisy World.


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