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Single Bridge Formation in Self-Organizing Particle Systems

Shunhao Oh, Joseph Briones, Jacob Calvert, Noah Egan, Dana Randall, Andréa W. Richa

TL;DR

It is argued that the reliable formation of a single bridge does not require sophistication on behalf of the individuals by provably reproducing this behavior in a self-organizing particle system by introducing an auxiliary Markov chain, called an"occupancy chain," that captures only the significant, global changes to the system.

Abstract

Local interactions of uncoordinated individuals produce the collective behaviors of many biological systems, inspiring much of the current research in programmable matter. A striking example is the spontaneous assembly of fire ants into "bridges" comprising their own bodies to traverse obstacles and reach sources of food. Experiments and simulations suggest that, remarkably, these ants always form one bridge -- instead of multiple, competing bridges -- despite a lack of central coordination. We argue that the reliable formation of a single bridge does not require sophistication on behalf of the individuals by provably reproducing this behavior in a self-organizing particle system. We show that the formation of a single bridge by the particles is a statistical inevitability of their preferences to move in a particular direction, such as toward a food source, and their preference for more neighbors. Two parameters, $η$ and $β$, reflect the strengths of these preferences and determine the Gibbs stationary measure of the corresponding particle system's Markov chain dynamics. We show that a single bridge almost certainly forms when $η$ and $β$ are sufficiently large. Our proof introduces an auxiliary Markov chain, called an "occupancy chain," that captures only the significant, global changes to the system. Through the occupancy chain, we abstract away information about the motion of individual particles, but we gain a more direct means of analyzing their collective behavior. Such abstractions provide a promising new direction for understanding many other systems of programmable matter.

Single Bridge Formation in Self-Organizing Particle Systems

TL;DR

It is argued that the reliable formation of a single bridge does not require sophistication on behalf of the individuals by provably reproducing this behavior in a self-organizing particle system by introducing an auxiliary Markov chain, called an"occupancy chain," that captures only the significant, global changes to the system.

Abstract

Local interactions of uncoordinated individuals produce the collective behaviors of many biological systems, inspiring much of the current research in programmable matter. A striking example is the spontaneous assembly of fire ants into "bridges" comprising their own bodies to traverse obstacles and reach sources of food. Experiments and simulations suggest that, remarkably, these ants always form one bridge -- instead of multiple, competing bridges -- despite a lack of central coordination. We argue that the reliable formation of a single bridge does not require sophistication on behalf of the individuals by provably reproducing this behavior in a self-organizing particle system. We show that the formation of a single bridge by the particles is a statistical inevitability of their preferences to move in a particular direction, such as toward a food source, and their preference for more neighbors. Two parameters, and , reflect the strengths of these preferences and determine the Gibbs stationary measure of the corresponding particle system's Markov chain dynamics. We show that a single bridge almost certainly forms when and are sufficiently large. Our proof introduces an auxiliary Markov chain, called an "occupancy chain," that captures only the significant, global changes to the system. Through the occupancy chain, we abstract away information about the motion of individual particles, but we gain a more direct means of analyzing their collective behavior. Such abstractions provide a promising new direction for understanding many other systems of programmable matter.
Paper Structure (15 sections, 16 theorems, 26 equations, 3 figures, 1 algorithm)

This paper contains 15 sections, 16 theorems, 26 equations, 3 figures, 1 algorithm.

Key Result

Lemma 2

Adding or removing a locally simply connected site from a configuration $\sigma\in\Omega$ maintains simple connectivity.

Figures (3)

  • Figure 1: Photos of fire ants, $\textit{Solenopsis}$, self-assembling over time to form a bridge to reach food placed in the center of a bowl filled with water. Experiments performed by and photo credit to Takao Sasaki and Horace Zeng at the University of Georgia.
  • Figure 2: A domain $\Lambda$ of the triangular lattice of width of $w=20$ and height of $h=10$ with periodic boundary conditions identifying the ends of rows (indicated by yellow shading). The configuration $\sigma$ (black dots) has multiple $(a,b)$-bridges for $(a,b) = (0.4,0.7)$, but not for $(a,b) = (0.4,0.8)$.
  • Figure 3: Transformation from the layer sequence $\overline{N}$ to $\overline{N}^{\text{post}}$, with the layer sequences represented as right-justified configurations.

Theorems & Definitions (19)

  • Definition 1: Local Simple Connectivity
  • Lemma 2: Maintaining Simple Connectivity
  • Lemma 3: Irreducibility and Aperiodicity
  • Definition 4: Multiple $(a,b)$-bridges
  • Theorem 5: No Multiple Bridges
  • Lemma 6
  • Lemma 7
  • Lemma 8
  • Definition 9
  • Theorem 10: Phase Change
  • ...and 9 more