Ramón Alonso-Sanz and Larry Bull 2009 J. Phys. A: Math. Theor. 42 485101 doi:10.1088/1751-8113/42/48/485101
Ramón Alonso-Sanz1,2 and Larry Bull1
Show affiliationsConventional cellular automata (CA) are memoryless, i.e. the new state of a cell depends on the neighborhood configuration solely at the preceding time step. This paper considers an extension to the standard framework of CA by implementing memory capability in cells. It is shown that the HPP rule, one of the most important block automaton rules, endowed with the memory of the most frequent recent state, behaves as an excellent classifier of the density in the initial configuration, which surpasses the performance of the best two-dimensional density classifier reported in the literature.
Issue 48 (4 December 2009)
Received 27 March 2009, in final form 14 September 2009
Published 11 November 2009
Ramón Alonso-Sanz and Larry Bull 2009 J. Phys. A: Math. Theor. 42 485101
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