Computational Complexity of Predicting Periodicity in the Models of Lorentz Lattice Gas Cellular Automata

被引:1
作者
Hagiwara, Takeo [1 ]
Tsukiji, Tatsuie [1 ]
Chen, Zhi-Zhong [1 ]
机构
[1] Tokyo Denki Univ, Dept Informat, Hatogaya, Saitama 3500394, Japan
来源
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2016年 / E99A卷 / 06期
关键词
cellular automata; computational complexity; Lorentz lattice gas; Langton's ant; PSPACE-complete; PLANAR GRAPHS; LANGTONS ANT; DIFFUSION; PATHS;
D O I
10.1587/transfun.E99.A.1034
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Some diffusive and recurrence properties of Lorentz Lattice Gas Cellular Automata (LLGCA) have been expensively studied in terms of the densities of some of the left/right static/flipping mirrors/rotators. In this paper, for any combination S of these well known scatters, we study the computational complexity of the following problem which we call PERIODICITY on the S-model: given a finite configuration that distributes only those scatters in S, whether a particle visits the starting position periodically or not. Previously, the flipping mirror model and the occupied flipping rotator model have been shown unbounded, i.e. the process is always diffusive [17]. On the other hand, PERIODICITY is shown PSPACEcomplete in the unoccupied flipping rotator model [21]. In this paper, we show that PERIODICITY is PSPACE-compete in any S-model that is neither occupied, unbounded, nor static. Particularly, we prove that PERIODICITY in any unoccupied and bounded model containing flipping mirror is PSPACEcomplete.
引用
收藏
页码:1034 / 1049
页数:16
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