COMPLEXITY OF IDENTIFYING ASYNCHRONOUS NONSTATIONARY CELLULAR-AUTOMATA

被引：0
|
作者：
ADAMATSKIY, AI [1 ]
机构：
[1] ST PETERSBURG STATE UNIV,ST PETERSBURG,RUSSIA
来源：
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 1993年 / 31卷 / 03期
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The present article is devoted to a discussion of deterministic finite-state asynchronous nonstationary multidimensional cellular automata. Sequential and parallel algorithms for establishing the rules of local transitions of cells along a stipulated sequence of configurations of a cellular automaton are proposed. Upper bounds on the space and time complexity of identification we calculated. The effectiveness of parallel algorithms is estimated.
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页码：127 / 130
页数：4
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