A NEIGHBORHOOD SELECTION METHOD FOR CELLULAR AUTOMATA MODELS
2005 ◽
Vol 15
(02)
◽
pp. 383-393
◽
Keyword(s):
A new neighborhood selection method is presented for both deterministic and probabilistic cellular automata models. The detection criteria are built explicitly on the corresponding contribution which is made to the value of each updated cell from each detected cell in the evolution. Theoretical analysis and numerical simulations demonstrate the effectiveness of this new method.
2005 ◽
Vol 08
(01)
◽
pp. 59-63
◽
2011 ◽
Vol 77
(777)
◽
pp. 1990-1997
◽
2013 ◽
Vol 760-762
◽
pp. 2263-2266
2014 ◽
Vol 559
◽
pp. 42-72
◽
1991 ◽
Vol 3
(7)
◽
pp. 1717-1727
◽
2011 ◽
Vol 383-390
◽
pp. 4213-4220
2018 ◽
Vol 174
(3-4)
◽
pp. 1187-1217
◽
Keyword(s):
Keyword(s):