Majority-rule opinion dynamics with differential latency: A mechanism for self-organized collective decision-making

Marco A.Montes de Oca, Eliseo Ferrante, Alexander Scheidler, Carlo Pinciroli, Mauro Birattari, Marco Dorigo

Research output: Contribution to journalArticlepeer-review

Abstract

Collective decision-making is a process whereby the members of a group decide on a course of action by consensus. In this paper, we propose a collective decision-making mechanism for robot swarms deployed in scenarios in which robots can choose between two actions that have the same effects but that have different execution times. The proposed mechanism allows a swarm composed of robots with no explicit knowledge about the difference in execution times between the two actions to choose the one with the shorter execution time. We use an opinion formation model that captures important elements of the scenarios in which the proposed mechanism can be used in order to predict the system's behavior. The model predicts that when the two actions have different average execution times, the swarm chooses with high probability the action with the shorter average execution time. We validate the model's predictions through a swarm robotics experiment in which robot teams must choose one of two paths of different length that connect two locations. Thanks to the proposed mechanism, a swarm made of robot teams that do not measure time or distance is able to choose the shorter path.

Original languageEnglish (US)
Pages (from-to)305-327
Number of pages23
JournalSwarm Intelligence
Volume5
Issue number3-4
DOIs
StatePublished - Dec 2011

Keywords

  • Collective decision-making
  • Differential latency
  • Opinion dynamics
  • Self-organization
  • Swarm intelligence
  • Swarm robotics

ASJC Scopus subject areas

  • Artificial Intelligence

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