skip to main content
10.1145/2598394.2605683acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
technical-note

Consensus costs and conflict in robot swarms

Published: 12 July 2014 Publication History

Abstract

It is commonly observed that aggregation in nature provides significant benefits to the group members. However, to reach a consensus individual preferences are frequently lost. Conflict is generally avoided because of the negative influence it could have on the success of collective movements. However, it could be used to balance consensus costs with individual preferences. Using a biologically-based collective movement model, this work investigates the possibility of conflict in a group movement allowing for differing individual goals to be accomplished, while still maintaining group cohesion much of the time. Individuals focus on their own needs, which may include the protection of being a part of a group or the desire to move away from the group and towards its preferred destination. Results show that by allowing conflict in group decision-making, consensus costs were balanced with individual preferences in such a way that group level success still occurred, while significantly improving the success of differing goals.

References

[1]
L. Conradt and T. J. Roper. Conflicts of interest and the evolution of decision sharing. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1518):807--819, 2009.
[2]
I. D. Couzin and J. Krause. Self-organization and collective behavior in vertebrates. Advances in the Study of Behavior, 32:1--75, 2003.
[3]
B. E. Eskridge. Effects of local communication and topology on collective movement initiation. In International Conference on the Simulation and Synthesis of Living Things, volume 13, pages 155--162, 2012.
[4]
J. Gautrais. The hidden variables of leadership. Behavioural Processes, 84(3):664--667, 2010.
[5]
C. Hemelrijk and H. Hildenbrandt. Self-organized shape and frontal density of fish schools. Ethology, 114(3):245--254, 2008.
[6]
M. Nagy, Z. Ákos, D. Biro, and T. Vicsek. Hierarchical group dynamics in pigeon flocks. Nature, 464(7290):890--893, 2010.
[7]
M. O'Neill and C. Ryan. Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language. Kluwer Academic Publishers, Norwell, MA, USA, 2003.
[8]
O. Petit and R. Bon. Decision-making processes: The case of collective movements. Behavioural Processes, 64(3):635--647, 2010.
[9]
O. Petit, J. Gautrais, J.-B. Leca, G. Theraulaz, and J.-L. Deneubourg. Collective decision-making in white-faced capuchin monkeys. Proceedings of the Royal Society B: Biological Sciences, 276(1672):3495--3503, 2009.
[10]
M.-H. Pillot, J. Gautrais, P. Arrufat, I. D. Couzin, R. Bon, and J.-L. Deneubourg. Scalable rules for coherent group motion in a gregarious vertebrate. PLoS ONE, 6(1):e14487, 01 2011.
[11]
E. Şahin. Swarm robotics: From sources of inspiration to domains of application. In Swarm robotics, volume 3342 of Lecture Notes in Computer Science, pages 10--20. Springer, 2005.
[12]
C. Sueur and J. Deneubourg. Self-organization in primates: Understanding the rules underlying collective movements. International Journal of Primatology, 32(6):1413--1432, 2011.
[13]
C. Sueur and O. Petit. Shared or unshared consensus decision in macaques? Behavioural Processes, 78(1):84--92, 2008.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
July 2014
1524 pages
ISBN:9781450328814
DOI:10.1145/2598394
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2014

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. collective movement
  2. conflict of interest
  3. coordination
  4. swarm robotics

Qualifiers

  • Technical-note

Funding Sources

Conference

GECCO '14
Sponsor:
GECCO '14: Genetic and Evolutionary Computation Conference
July 12 - 16, 2014
BC, Vancouver, Canada

Acceptance Rates

GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 63
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media