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Titlebook: Cellular Automata and Discrete Complex Systems; 29th IFIP WG 1.5 Int Luca Manzoni,Luca Mariot,Dipanwita Roy Chowdhury Conference proceeding

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书目名称Cellular Automata and Discrete Complex Systems
副标题29th IFIP WG 1.5 Int
编辑Luca Manzoni,Luca Mariot,Dipanwita Roy Chowdhury
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Cellular Automata and Discrete Complex Systems; 29th IFIP WG 1.5 Int Luca Manzoni,Luca Mariot,Dipanwita Roy Chowdhury Conference proceeding
描述This book constitutes the proceedings of the 29th IFIP WG 1.5 International Workshop on Cellular Automata and Discrete Complex Systems, AUTOMATA 2023, which took place in Trieste, Italy, in August/September 2023. For AUTOMATA 2023, 7 full papers have been carefully reviewed and selected from 11 submissions. The book also contains 3 full papers from AUTOMATA 2022, which have been selected from a total of 18 submissions. In addition, the proceedings contain one invited talk in full paper length from AUTOMATA 2023. .
出版日期Conference proceedings 2023
关键词automata theory; artificial intelligence; formal languages; finite automata; computational linguistics
版次1
doihttps://doi.org/10.1007/978-3-031-42250-8
isbn_softcover978-3-031-42249-2
isbn_ebook978-3-031-42250-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2023
The information of publication is updating

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Convergence of Vector-Valued Fuzzy Cellular Automata with Weighted-Averaging Rulesining a fuzzy CA with three or more states is challenging because defining mixed states is difficult. Recently, this difficulty was resolved by representing multiple states as independent vectors in higher dimensions, and the concept of vector-valued fuzzy CA (VFCA) was introduced. In this study, we
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Triangle Solitaireation about independent sets of coordinates in a totally extremally permutive subshift. We study the solitaire with the triangle shape, which corresponds to the spacetime diagrams of bipermutive cellular automata with radius 1/2. We give a polynomial time algorithm that puts any finite subset of the
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Pattern Classification with Temporally Stochastic Cellular Automataule . is called default rule and . is the noise which is applied with probability . (noise rate). This new class of automata is named as . (TSCAs). The dynamical behaviour of these automata has been studied to identify the TSCAs that converge to fixed point from any seed. Finally, we use each of the
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