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The Importance of Information Flow Regulation in Preferentially Foraging Robot Swarms

Lenka Pitonakova, Richard Crowder, Seth Bullock

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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    Abstract

    Instead of committing to the first source of reward that it discovers, an agent engaged in "preferential foraging" continues to choose between different reward sources in order to maximise its foraging efficiency. In this paper, the effect of preferential source selection on the performance of robot swarms with different recruitment strategies is studied. The swarms are tasked with foraging from multiple sources in dynamic environments where worksite locations change periodically and thus need to be re-discovered. Analysis indicates that preferential foraging leads to a more even exploitation of resources and a more efficient exploration of the environment provided that information flow among robots, that results from recruitment, is regulated. On the other hand, preferential selection acts as a strong positive feedback mechanism for favouring the most popular reward source when robots exchange information rapidly in a small designated area, preventing the swarm from foraging efficiently and from responding to changes.
    Original languageEnglish
    Title of host publicationSwarm Intelligence
    Subtitle of host publication11th International Conference, ANTS 2018, Rome, Italy, October 29–31, 2018, Proceedings
    PublisherSpringer, Cham
    Pages277-289
    Number of pages13
    ISBN (Electronic)9783030005337
    ISBN (Print)9783030005320
    DOIs
    Publication statusPublished - 3 Oct 2018
    EventEleventh International Conference on Swarm Intelligence (ANTS 2018) - Rome, Italy
    Duration: 29 Oct 201831 Oct 2018
    http://www.swarm-intelligence.eu/ants2018/

    Publication series

    NameLecture Notes in Computer Science
    Volume11172
    ISSN (Print)0302-9743

    Conference

    ConferenceEleventh International Conference on Swarm Intelligence (ANTS 2018)
    Country/TerritoryItaly
    CityRome
    Period29/10/1831/10/18
    Internet address

    Keywords

    • swarm intelligence
    • robotics
    • Foraging

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    • T-B PHASE: Prosperity Partnership with Thales

      Richards, A. G. (Principal Investigator), Wilson, R. E. (Co-Investigator), Johnson, A. (Collaborator), Bullock, S. (Co-Investigator), Lawry, J. (Co-Investigator), Noyes, J. M. (Co-Investigator), Hauert, S. (Co-Investigator), Bode, N. W. F. (Co-Investigator), Pitonakova, L. (Researcher), Kent, T. (Researcher), Crosscombe, M. (Researcher), Zanatto, D. (Researcher), Alkan, B. (Researcher), Drury, K. L. (Manager), Hogg, E. (Student), Bonnell, W. D. (Student), Bennett, C. (Student), Clarke, C. E. M. (Student), Potts, M. W. (Student), Sartor, P. N. (Collaborator), Harvey, D. (Collaborator), Rayneau-Kirkhope, B. (Collaborator), Galvin, K. (Collaborator), Lam, J. (Collaborator), Barden, E. (Collaborator), Chattington, M. (Collaborator), Radanovic, M. (Researcher), Morey, E. (Student), Ball, M. (Co-Principal Investigator), Hunt, E. R. (Collaborator), Richards, A. G. (Principal Investigator), Radanovic, M. (Researcher), Morey, E. (Student), Steane, V. (Collaborator), Reed Edworthy, J. (Collaborator) & Hart, S. G. (Student)

      1/10/1731/03/23

      Project: Research

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