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Damien Regnault

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7 papers
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7

STOC Conference 2020 Conference Paper

The program-size complexity of self-assembled paths

  • Pierre-Étienne Meunier
  • Damien Regnault
  • Damien Woods

We prove a Pumping Lemma for the noncooperative abstract Tile Assembly Model, a model central to the theory of algorithmic self-assembly since the beginning of the field. This theory suggests, and our result proves, that small differences in the nature of adhesive bindings between abstract square molecules gives rise to vastly different expressive capabilities. In the cooperative abstract Tile Assembly Model, square tiles attach to each other using multi-sided cooperation of one, two or more sides. This precise control of tile binding is directly exploited for algorithmic tasks including growth of specified shapes using very few tile types, as well as simulation of Turing machines and even self-simulation of self-assembly systems. But are cooperative bindings required for these computational tasks? The definitionally simpler noncooperative (or Temperature 1) model has poor control over local binding events: tiles stick if they bind on at least one side. This has led to the conjecture that it is impossible for it to exhibit precisely controlled growth of computationally-defined shapes. Here, we prove such an impossibility result. We show that any planar noncooperative system that attempts to grow large algorithmically-controlled tile-efficient assemblies must also grow infinite non-algorithmic (pumped) structures with a simple closed-form description, or else suffer blocking of intended algorithmic structures. Our result holds for both directed and nondirected systems, and gives an explicit upper bound of (8| T |) 4| T |+1 (5|σ| + 6), where | T | is the size of the tileset and |σ| is the size of the seed assembly, beyond which any path of tiles is pumpable or blockable.

TCS Journal 2018 Journal Article

Lost in self-stabilization: A local process that aligns connected cells

  • Damien Regnault
  • Éric Rémila

Let t a and t b be a pair of relatively prime positive integers. We work on chains of n ( t a + t b ) agents which form together an upper and rightward directed path of the grid Z 2 from O = ( 0, 0 ) to M = ( n t a, n t b ). We are interested on evolution rules such that, at each time step, an agent is randomly chosen on the chain and is allowed to jump to another site of the grid preserving the connectivity of the chain and the endpoints. The rules must be local, i. e. , the decision of jumping or not only depends on the neighborhood of fixed size s of the randomly chosen agent, and not on the parameters t a, t b, n. Moreover, the parameter s only depends on t a + t b and not on n. In this paper, we design a rule such that, starting from any chain which does not cross the continuous line segment [ O, M ], this rule reorganizes this chain into one of the best possible approximations of [ O, M ]. The stabilization is reached after O ( ( n ( t a + t b ) ) 4 ) iterations, in average. The work presented here is at the crossroad of many different domains such as modeling a stabilizing process in crystallography, stochastic cellular automata, organizing a line of robots in distributed algorithms (the robot chain problem) and Christoffel words in language theory.

TCS Journal 2013 Journal Article

About non-monotony in Boolean automata networks

  • Mathilde Noual
  • Damien Regnault
  • Sylvain Sené

This paper aims at presenting motivations and first results of a prospective theoretical study on the role of non-monotone interactions in the modelling process of biological regulation networks. Focusing on discrete models of these networks, namely, Boolean automata networks, we propose to analyse the contribution of non-monotony to the diversity and complexity in their dynamical behaviours. More precisely, in this paper, we start by detailing some motivations, both mathematical and biological, for our interest in non-monotony, and we discuss how it may account for phenomena that cannot be produced by monotony only. Then, to build some understanding in this direction, we show some preliminary results on the dynamical behaviours of some specific non-monotone Boolean automata networks called xor circulant networks.

TCS Journal 2011 Journal Article

Stochastic minority on graphs

  • Jean-Baptiste Rouquier
  • Damien Regnault
  • Éric Thierry

Cellular automata have been mainly studied on very regular graphs carrying the vertices (like lines or grids) and under synchronous dynamics (all vertices update simultaneously). In this paper, we study how the asynchronism and the graph act upon the dynamics of the classical minority rule. Minority has been well-studied for synchronous updates and is thus a reasonable choice to begin with. Yet, beyond its apparent simplicity, this rule yields complex behaviors when asynchronism is introduced. We investigate the transitory part as well as the asymptotic behavior of the dynamics under full asynchronism (also called sequential: only one random vertex updates at each time step) for several types of graphs. Such a comparative study is a first step in understanding how the asynchronous dynamics is linked to the topology (the graph). Previous analyses on the grid Regnault et al. (2009, 2010) [1, 2] have observed that minority seems to induce fast stabilization. We investigate here this property on arbitrary graphs using tools such as energy, particles and random walks. We show that the worst case convergence time is, in fact, strongly dependent on the topology. In particular, we observe that the case of trees is nontrivial.

TCS Journal 2009 Journal Article

Progresses in the analysis of stochastic 2D cellular automata: A study of asynchronous 2D minority

  • Damien Regnault
  • Nicolas Schabanel
  • Éric Thierry

Cellular automata are often used to model systems in physics, social sciences, biology that are inherently asynchronous. Over the past 20 years, studies have demonstrated that the behavior of cellular automata drastically changes under asynchronous updates. Still, the few mathematical analyses of asynchronism focus on 1D probabilistic cellular automata, either on single examples or on specific classes. As for other classic dynamical systems in physics, extending known methods from 1D to 2D systems is a long lasting challenging problem. In this paper, we address the problem of analyzing an apparently simple 2D asynchronous cellular automaton: 2D Minority where each cell, when fired, updates to the minority state of its neighborhood. Our simulations reveal that in spite of its simplicity, the minority rule exhibits a quite complex response to asynchronism. By focusing on the fully asynchronous regime, we are however able to describe completely the asymptotic behavior of this dynamics as long as the initial configuration satisfies some natural constraints. Besides these technical results, we have strong reasons to believe that our techniques relying on defining an energy function from the transition table of the automaton may be extended to the wider class of threshold automata. 2 2 An abstract version of this paper has been published in [D. Regnault, N. Schabanel, É. Thierry, Progresses in the analysis of stochastic 2D cellular automata: A study of asynchronous 2D minority, in: LNCS Proc. of 32nd Symp. of Mathematical Foundations of Computer Science, MFCS, vol. 4708, Springer, 2007, pp. 320–332].

MFCS Conference 2008 Conference Paper

Directed Percolation Arising in Stochastic Cellular Automata Analysis

  • Damien Regnault

Abstract Cellular automata are both seen as a model of computation and as tools to model real life systems. Historically they were studied under synchronous dynamics where all the cells of the system are updated at each time step. Meanwhile the question of probabilistic dynamics emerges: on the one hand, to develop cellular automata which are capable of reliable computation even when some random errors occur [24, 14, 13]; on the other hand, because synchronous dynamics is not a reasonable assumption to simulate real life systems. Among cellular automata a specific class was largely studied in synchronous dynamics: the elementary cellular automata (ECA). These are the ”simplest” cellular automata. Nevertheless they exhibit complex behaviors and even Turing universality. Several studies [20, 7, 8, 5] have focused on this class under α -asynchronous dynamics where each cell has a probability α to be updated independently. It has been shown that some of these cellular automata exhibit interesting behavior such as phase transition when the asynchronicity rate α varies. Due to their richness of behavior, probabilistic cellular automata are also very hard to study. Almost nothing is known of their behavior [20]. Understanding these ”simple” rules is a key step to analyze more complex systems. We present here a coupling between oriented percolation and ECA 178 and confirms observations made in [5] that percolation may arise in cellular automata. As a consequence this coupling shows that there is a positive probability that the ECA 178 does not reach a stable configuration as soon as the initial configuration is not a stable configuration and α > 0. 996. Experimentally, this result seems to stay true as soon as α > α c ≈ 0. 5.

MFCS Conference 2007 Conference Paper

Progresses in the Analysis of Stochastic 2D Cellular Automata: A Study of Asynchronous 2D Minority

  • Damien Regnault
  • Nicolas Schabanel
  • Eric Thierry

Abstract Cellular automata are often used to model systems in physics, social sciences, biology that are inherently asynchronous. Over the past 20 years, studies have demonstrated that the behavior of cellular automata drastically changed under asynchronous updates. Still, the few mathematical analyses of asynchronism focus on one-dimensional probabilistic cellular automata, either on single examples or on specific classes. As for other classic dynamical systems in physics, extending known methods from one- to two-dimensional systems is a long lasting challenging problem. In this paper, we address the problem of analysing an apparently simple 2D asynchronous cellular automaton: 2D Minority where each cell, when fired, updates to the minority state of its neighborhood. Our experiments reveal that in spite of its simplicity, the minority rule exhibits a quite complex response to asynchronism. By focusing on the fully asynchronous regime, we are however able to describe completely the asymptotic behavior of this dynamics as long as the initial configuration satisfies some natural constraints. Besides these technical results, we have strong reasons to believe that our techniques relying on defining an energy function from the transition table of the automaton may be extended to the wider class of threshold automata. Due to space constraint, we refer the reader to [16] for the missing proofs.

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