Abstract
Imagine you are left alone in a forest with ogres and wolves, with a paper, a pen and a supply of small stones as your only weapons. How far can you go using a deterministic escape strategy, if you also want to be back in time for dinner (i.e. avoid running periodically)?
The answer to this question has been known for some time (and called the “pumping lemma”) in the simple case where the forest has exactly one self-avoiding trail: after at most \(2^n\) steps (where n is the number of bits writable on your paper) you start running periodically.
However, geometry can sometimes allow for better strategies: in this work, we show the first non-trivial positive algorithmic result (i.e. programs whose output is larger than their size), in a model of self-assembly that has been the center of puzzling open questions for almost 15 years: the planar non-cooperative variant of Winfree’s abstract Tile Assembly Model. Despite significant efforts, very little has been known on this model, until the first fully general results on its computational power, proven recently in SODA 2014.
In this model, tiles can stick to an existing assembly as soon as one of their sides matches the existing assembly. This feature contrasts with the general cooperative model, where it can be required that tiles match on several of their sides in order to bind.
Since the exact computational power of this model is still completely open, we also compare it with classical models from automata theory.
P.-E. Meunier—Dept. of Information and Computer Science, Aalto University, PO Box 15400, FI-00076, Aalto, Finland and Aix Marseille Université, CNRS, LIF UMR 7279, 13288, Marseille, France. Part of this work was carried out while at California Institute of Technology, Pasadena, CA 91125, USA. Supported in part by National Science Foundation Grant CCF-1219274.
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Notes
- 1.
We would like to thank an anonymous reviewer for pointing out the equivalence with the known result.
References
Bousquet-Mélou, M.: Families of prudent self-avoiding walks. J. Comb. Theory Ser. A 117(3), 313–344 (2010)
Comon, H., Dauchet, M., Gilleron, R., Jacquemard, F., Lugiez, D., Löding, C., Tison, S., Tommasi, M.: Tree automata techniques and applications (2007). http://www.grappa.univ-lille3.fr/tata. Accessed 12 October 2007
Cook, M., Fu, Y., Schweller, R.T.: Temperature 1 self-assembly: deterministic assembly in 3D and probabilistic assembly in 2D. In: Proceedings of SODA 2011, pp. 570–589 (2011). Arxiv preprint: arXiv:0912.0027
Flory, P.J.: Principles of Polymer Chemistry. Cornell University, Ithaca (1953)
Knuth, D.E.: Mathematics and computer science: coping with finiteness. Math. People Prob. Results 2, 210–211 (1984)
Rothemund, P.W.K., Winfree, E.: The program-size complexity of self-assembled squares (extended abstract). In: STOC 2000, Portland, Oregon, United States, pp. 459–468. ACM (2000)
Seeman, N.C.: Nucleic-acid junctions and lattices. J. Theor. Biol. 99, 237–247 (1982)
Winfree, E.: Algorithmic self-assembly of DNA. Ph.D. thesis, California Institute of Technology, June 1998
Winslow, A.: Staged self-assembly and polyomino context-free grammars. In: Soloveichik, D., Yurke, B. (eds.) DNA 2013. LNCS, vol. 8141, pp. 174–188. Springer, Heidelberg (2013)
Acknowledgements
The author thanks Damien Woods for insightful comments and discussions, and one of the anonymous reviewer whose expertise helped improved this paper quite a lot.
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Meunier, PÉ. (2015). Non-cooperative Algorithms in Self-assembly. In: Calude, C., Dinneen, M. (eds) Unconventional Computation and Natural Computation. UCNC 2015. Lecture Notes in Computer Science(), vol 9252. Springer, Cham. https://doi.org/10.1007/978-3-319-21819-9_20
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DOI: https://doi.org/10.1007/978-3-319-21819-9_20
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