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Ad hoc teamwork for leading a flock

Published: 06 May 2013 Publication History
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  • Abstract

    Designing agents that can cooperate with other agents as a team, without prior coordination or explicit communication, is becoming more desirable as autonomous agents become more prevalent. In this paper we examine an aspect of the problem of leading teammates in an ad hoc team-work setting, where the designed ad hoc agents lead the other teammates to a desired behavior that maximizes team utility. Specifically, we consider the problem of leading a flock of agents to a desired orientation using a subset of ad hoc agents. We examine the problem theoretically, and set bounds on the extent of influence the ad hoc agents can have on the team when the agents are stationary. We use these results to examine the complicated problem of orienting a stationary team to a desired orientation using a set of non-stationary ad hoc agents. We then provide an empirical evaluation of the suggested solution using our custom-designed simulator FlockSim.

    References

    [1]
    N. Agmon and P. Stone. Leading ad hoc agents in joint action settings with multiple teammates. In AAMAS'12, June 2012.
    [2]
    W. Bialeka, A. Cavagnab, I. Giardinab, T. Morad, E. Silvestrib, M. Vialeb, and A. Walczak. Statistical mechanics for natural flocks of birds. Proceedings of the National Academy of Sciences, 109(11), 2012.
    [3]
    H. H. Charlotte K. Hemelrijk. Some causes of the variable shape of flocks of birds. PLoS ONE, 6(8), 2011.
    [4]
    K. S. Decker and V. R. Lesser. Readings in agents. chapter Designing a family of coordination algorithms, pages 450--457. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1998.
    [5]
    B. J. Grosz and S. Kraus. Collaborative plans for complex group action. AIJ, 86(2):269--357, 1996.
    [6]
    J. Han, M. Li, and L. Guo. Soft control on collective behavior of a group of autonomous agents by a shill agent. Systems Science and Complexity, 19:54--62, 2006.
    [7]
    A. Jadbabaie, J. Lin, and A. Morse. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, 48(6):988--1001, June 2003.
    [8]
    E. Jones, B. Browning, M. B. Dias, B. Argall, M. M. Veloso, and A. T. Stentz. Dynamically formed heterogeneous robot teams performing tightly-coordinated tasks. In ICRA'06, pages 570--575, 2006.
    [9]
    C. W. Reynolds. Flocks, herds and schools: A distributed behavioral model. SIGGRAPH, 21:25--34, August 1987.
    [10]
    P. Stone, G. A. Kaminka, S. Kraus, and J. S. Rosenschein. Ad hoc autonomous agent teams: Collaboration without pre-coordination. In AAAI'10, 2010.
    [11]
    P. Stone, G. A. Kaminka, and J. S. Rosenschein. Leading a best-response teammate in an ad hoc team. In Agent-Mediated Electronic Commerce: Designing Trading Strategies and Mechanisms for Electronic Markets, pages 132--146. 2010.
    [12]
    H. Su, X. Wang, and Z. Lin. Flocking of multi-agents with a virtual leader. IEEE Transactions on Automatic Control, 54(2):293--307, Feb 2009.
    [13]
    M. Tambe. Towards flexible teamwork. JAIR, 7:83--124, 1997.
    [14]
    T. Vicsek, A. Czirok, E. Ben-Jacob, I. Cohen, and O. Sochet. Novel type of phase transition in a system of self-driven particles. PHYS REV LETT., 75:1226, 1995.

    Cited By

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    • (2021)Spatial Consensus-Prevention in Robotic SwarmsProceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3463952.3463999(359-367)Online publication date: 3-May-2021
    • (2018)Influencing Flock Formation in Low-Density SettingsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237939(1613-1621)Online publication date: 9-Jul-2018
    • (2017)Agent Behaviors for Joining and Leaving a FlockProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091359(1553-1555)Online publication date: 8-May-2017
    • Show More Cited By

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    Published In

    cover image ACM Other conferences
    AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
    May 2013
    1500 pages
    ISBN:9781450319935

    Sponsors

    • IFAAMAS

    In-Cooperation

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 06 May 2013

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    Author Tags

    1. ad hoc teamwork
    2. agent cooperation
    3. coordination

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    AAMAS '13
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    Acceptance Rates

    AAMAS '13 Paper Acceptance Rate 140 of 599 submissions, 23%;
    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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    Cited By

    View all
    • (2021)Spatial Consensus-Prevention in Robotic SwarmsProceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3463952.3463999(359-367)Online publication date: 3-May-2021
    • (2018)Influencing Flock Formation in Low-Density SettingsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237939(1613-1621)Online publication date: 9-Jul-2018
    • (2017)Agent Behaviors for Joining and Leaving a FlockProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091359(1553-1555)Online publication date: 8-May-2017
    • (2017)Allocating training instances to learning agents for team formationAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9355-331:4(905-940)Online publication date: 1-Jul-2017
    • (2016)Two invariants of human-swarm interactionJournal of Human-Robot Interaction10.5898/JHRI.5.1.Brown5:1(1-31)Online publication date: 23-Mar-2016
    • (2015)To Ask, Sense, or ShareProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2772928(367-376)Online publication date: 4-May-2015
    • (2015)Determining Placements of Influencing Agents in a FlockProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2772914(247-255)Online publication date: 4-May-2015
    • (2014)Orienting a flock via ad hoc teamworkProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2616053(1543-1544)Online publication date: 5-May-2014
    • (2014)The effects of feedback on human behavior in social mediaProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2615837(653-660)Online publication date: 5-May-2014
    • (2013)Ad hoc teamwork for leading a flockProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485261(1431-1432)Online publication date: 6-May-2013

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