A survey of cellular automata like the “game of life”

1997 ◽  
Vol 240 (3-4) ◽  
pp. 560-570 ◽  
Author(s):  
A.C. de la Torre ◽  
H.O. Mártin
2010 ◽  
Vol 2 (3) ◽  
pp. 319-322
Author(s):  
Anna Yur'evna Subbotina ◽  
Nikolai Igorevich Khokhlov

1999 ◽  
Vol 09 (06) ◽  
pp. 1219-1236 ◽  
Author(s):  
RADU DOGARU ◽  
LEON O. CHUA

The goal of this letter is to report a novel class of dynamical behaviors observed from a generalized cellular automata CNN [Chua, 1998] with piecewise-linear (PWL) cells. Starting from an almost homogeneous initial condition, self-making (autopoietic in the sense of [Varela et al., 1974]) patterns, reminiscent of simple living systems, emerge as a result of the nonlinear coupling among cells. Similar to patterns of organization characterizing living systems, our patterns display features such as growth, maturity and death. The discovery of such patterns was made possible via mutations in several piecewise-linear CNN cell realizations of the "Game of Life" [Conway, 1982].


2001 ◽  
Vol 29 (1) ◽  
pp. 63-69
Author(s):  
Solomon Marcus

Inspired by a mathematical ecology of thearre (M. Dinu) and the eco-grammar systems (E. Csuhaj-Varju et al.), this paper gives a brief analysis of simple cellular automata games in order to demonstrate their primary semiotic features. In particular, the behaviour of configurations in Conway's game of life is compared to several general features of Uexküll's concept of Umwelt. It is concluded that ecological processes have a fundamental semiotic dimension.


2019 ◽  
Vol 8 (4) ◽  
pp. 8487-8490

In order to improve the health care reach, we need efficient and fast computer aided simulation processes or algorithms. When some change is found in pathological reports and biomedical quantities, the person is susceptible to diseases. If the diseases are detected earlier then there can be increase in the rate of mortality. Tumor is one such disease which has been seen to be one of the most fatal for human beings. Detecting and removing tumor is big challenge for medical practitioners. Medical image processing can be used through cellular automata has proven to be one of the fast and reliable method for detection of tumor cells. To study the capabilities of medical science CA’s are being used extensively, as they are useful in studying the selfreproducing biological systems. Purpose: This paper presents an algorithm for segmentation of MRI image through cellular automata, using Conway’s Game of Life. A new approach is being used in this paper, first the image is converted into gray level image. Then edge detection is done for this image using Game of Life. This edge detected image is overlapped with the gray scale image to get the resulted segmented image as an output. Materials and Methods: In order to run the proposed algorithm MATLAB2019b is used and the images are obtained. Results: Algorithm was used on different MRI’s and the results were taken.


2013 ◽  
pp. 231-243 ◽  
Author(s):  
Gian Marco Todesco

2001 ◽  
Vol DMTCS Proceedings vol. AA,... (Proceedings) ◽  
Author(s):  
Kellie M. Evans

International audience We introduce the Larger than Life family of two-dimensional two-state cellular automata that generalize certain nearest neighbor outer totalistic cellular automaton rules to large neighborhoods. We describe linear and quadratic rescalings of John Conway's celebrated Game of Life to these large neighborhood cellular automaton rules and present corresponding generalizations of Life's famous gliders and spaceships. We show that, as is becoming well known for nearest neighbor cellular automaton rules, these ``digital creatures'' are ubiquitous for certain parameter values.


Author(s):  
Juan A. Gómez-Pulido ◽  
Juan M. Matas-Santiago ◽  
Francisco Pérez-Rodríguez ◽  
Miguel A. Vega-Rodríguez ◽  
Juan M. Sánchez-Pérez ◽  
...  

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