Pattern Formation and Functionality in Swarm Models

  title={Pattern Formation and Functionality in Swarm Models},
  author={Erik Rauch and Mark M. Millonas and Dante R. Chialvo},
  journal={Physics Letters A},

BSwarm: biologically-plausible dynamics model of insect swarms

This work uses a hybrid formulation that combines a force-based model to capture different interactions between the insects with a data-driven noise model, and computes collision-free trajectories to simulate swarms of flying insects.

Stability analysis of swarms

  • V. GaziK. Passino
  • Mathematics
    Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)
  • 2002
It is shown that the individuals (autonomous agents or biological creatures) will form a cohesive swarm in a finite time and an explicit bound on the swarm size is obtained, which depends only on the parameters of the swarm model.

Stable flocking of swarms using local information

By combining the ideas of virtual force and nearest neighborhood law, this decentralized controller can enable all swarm members to converge to a common velocity with bounded errors, no matter the swarm topology is fixed or dynamic.

Self-Organization in Space and Induced by Fluctuations

We present a simple discrete model for the non-linear spatial interaction of different kinds of subpopulations composed of identical moving entities like particles, bacteria, individuals, etc. The

Collective behavior states in animal groups

In this work, we study some states of collective behavior observed in groups of animals. For this end we consider an agent-based model with biologically motivated behavioral rules where the speed is

How ants move: individual and collective scaling properties

This paper revisits the topic of the ruling laws behind the burst of activity in ants, and shows that as more ants enter the nest, the faster they move, which implies a collective property.

Emergence of Coherent Patterns of Motion in Aggregates of Motile Particles: A Coupled Maps Evolving Network Perspective

In this paper we study the emergence of coherence in collective motion described by a system of interacting motiles. By means of a nonlinear parametric coupling, the system elements are able to swing



Self-organized criticality in the 'Game of Life"

THE 'Game of Life'1,2 is a cellular automaton, that is, a lattice system in which the state of each lattice point is determined by local rules. It simulates, by means of a simple algorithm, the

Computation at the edge of chaos: Phase transitions and emergent computation

Self-organized criticality.

The Insect Societies

The author wished to relate the three phases of research on insects and to express insect sociology as population biology in this detailed survey of knowledge of insect societies.