{"title":"通过自组合快速模拟细胞自动机","authors":"Joseph Natal, Oleksiy Al-saadi","doi":"arxiv-2409.07065","DOIUrl":null,"url":null,"abstract":"It is shown that computing the configuration of any one-dimensional cellular\nautomaton at generation $n$ can be accelerated by constructing and running a\ncomposite one with a radius proportional to $\\log n$. The new automaton is the\noriginal automaton whose local rule function is composed with itself. The\nasymptotic time complexity to compute the configuration of generation $n$ is\nreduced from $O(n^2)$ operations to $O(n^2 / \\log n)$ on a given machine with\n$O(n^2)$ memory usage. Experimental results are given in the case of Rule 30.","PeriodicalId":501024,"journal":{"name":"arXiv - CS - Computational Complexity","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast Simulation of Cellular Automata by Self-Composition\",\"authors\":\"Joseph Natal, Oleksiy Al-saadi\",\"doi\":\"arxiv-2409.07065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown that computing the configuration of any one-dimensional cellular\\nautomaton at generation $n$ can be accelerated by constructing and running a\\ncomposite one with a radius proportional to $\\\\log n$. The new automaton is the\\noriginal automaton whose local rule function is composed with itself. The\\nasymptotic time complexity to compute the configuration of generation $n$ is\\nreduced from $O(n^2)$ operations to $O(n^2 / \\\\log n)$ on a given machine with\\n$O(n^2)$ memory usage. Experimental results are given in the case of Rule 30.\",\"PeriodicalId\":501024,\"journal\":{\"name\":\"arXiv - CS - Computational Complexity\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computational Complexity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.07065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast Simulation of Cellular Automata by Self-Composition
It is shown that computing the configuration of any one-dimensional cellular
automaton at generation $n$ can be accelerated by constructing and running a
composite one with a radius proportional to $\log n$. The new automaton is the
original automaton whose local rule function is composed with itself. The
asymptotic time complexity to compute the configuration of generation $n$ is
reduced from $O(n^2)$ operations to $O(n^2 / \log n)$ on a given machine with
$O(n^2)$ memory usage. Experimental results are given in the case of Rule 30.