Opinion dynamics for decentralized decision-making in a robot swarm

Marco A. Montes De Oca, Eliseo Ferrante, Nithin Mathews, Mauro Birattari, Marco Dorigo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we study how an opinion dynamics model can be the core of a collective decision-making mechanism for swarm robotics. Our main result is that when opinions represent action choices, the opinion associated with the action that is the fastest to execute spreads in the population. Moreover, the spread of the best choice happens even when only a minority is initially advocating for it. The key elements involved in this process are consensus building and positive feedback. A foraging task that involves collective transport is used to illustrate the potential of the proposed approach.

Original languageEnglish (US)
Title of host publicationSwarm Intelligence - 7th International Conference, ANTS 2010, Proceedings
Pages251-262
Number of pages12
DOIs
StatePublished - 2010
Event7th International Conference on Swarm Intelligence, ANTS 2010 - Brussels, Belgium
Duration: Sep 8 2010Sep 10 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6234 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Swarm Intelligence, ANTS 2010
Country/TerritoryBelgium
CityBrussels
Period9/8/109/10/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Opinion dynamics for decentralized decision-making in a robot swarm'. Together they form a unique fingerprint.

Cite this