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Cantu, Angel A. ;
Luchsinger, Austin ;
Schweller, Robert ;
Wylie, Tim
Signal Passing Self-Assembly Simulates Tile Automata
pdf-format:
LIPIcs-ISAAC-2020-53.pdf (1 MB)
Abstract
The natural process of self-assembly has been studied through various abstract models due to the abundant applications that benefit from self-assembly. Many of these different models emerged in an effort to capture and understand the fundamental properties of different physical systems and the mechanisms by which assembly may occur. A newly proposed model, known as Tile Automata, offers an abstract toolkit to analyze and compare the algorithmic properties of different self-assembly systems. In this paper, we show that for every Tile Automata system, there exists a Signal-passing Tile Assembly system that can simulate it. Finally, we connect our result with a recent discovery showing that Tile Automata can simulate Amoebot programmable matter systems, thus showing that the Signal-passing Tile Assembly can simulate any Amoebot system.BibTeX - Entry
@InProceedings{cantu_et_al:LIPIcs:2020:13397,
author = {Angel A. Cantu and Austin Luchsinger and Robert Schweller and Tim Wylie},
title = {{Signal Passing Self-Assembly Simulates Tile Automata}},
booktitle = {31st International Symposium on Algorithms and Computation (ISAAC 2020)},
pages = {53:1--53:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-173-3},
ISSN = {1868-8969},
year = {2020},
volume = {181},
editor = {Yixin Cao and Siu-Wing Cheng and Minming Li},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/13397},
URN = {urn:nbn:de:0030-drops-133978},
doi = {10.4230/LIPIcs.ISAAC.2020.53},
annote = {Keywords: self-assembly, signal-passing tile assembly model, tile automata, cellular automata, simulation}
}
Keywords:
self-assembly, signal-passing tile assembly model, tile automata, cellular automata, simulation
Collection:
31st International Symposium on Algorithms and Computation (ISAAC 2020)
Issue Date:
2020
Date of publication:
04.12.2020
Supplementary Material:
Supplemental videos of example STAM signal tools used in this paper may be found at https://asarg.hackresearch.com/main/isaac-2020/.