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Communication, Diversity and Learning: Cornerstones of Swarm Behavior

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Swarm Robotics (SR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3342))

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Abstract

This paper reviews research in three important areas concerning robot swarms: communication, diversity, and learning. Communication (or the lack of it) is a key design consideration for robot teams. Communication can enable certain types of coordination that would be impossible otherwise. However communication can also add unnecessary cost and complexity. Important research issues regarding communication concern what should be communicated, over what range, and when the communication should occur. We also consider how diverse behaviors might help or hinder a team, and how to measure diversity in the first place. Finally, we show how learning can provide a powerful means for enabling a team to master a task or adapt to changing conditions. We hypothesize that these three topics are critically interrelated in the context of learning swarms, and we suggest research directions to explore them.

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References

  1. Balch, T.: Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity. Autonomous Robots 8(3), 209–238 (2000)

    Article  Google Scholar 

  2. Balch, T., Arkin, R.: Communication in Reactive Multiagent Robotic Systems. Autonomous Robots 1(1), 27–52 (1994)

    Article  Google Scholar 

  3. Arkin, R.: Cooperation without Communication: Multi-agent Schema Based Robot Navigation. Journal of Robotic Systems 9(3), 351–364 (1992)

    Article  Google Scholar 

  4. Mataric, M.J.: Kin recognition, similarity, and group behavior. In: Proceedings of the Fifteenth Annual Cognitive Science Society Conference, pp. 705–710 (1993)

    Google Scholar 

  5. MacKenzie, D.C., Balch, T.: Making a Clean Sweep: Behavior Based Vacuuming. In: Working Notes of the 1993 AAAI Fall Symposium Instantiating Real-World Agents (1993)

    Google Scholar 

  6. Moynihan, M.: Control, Suppression, Decay, Disappearance and Replacement of Displays. Journal of Theoretical Biology 29, 85–112 (1970)

    Article  Google Scholar 

  7. Parker, L.: Heterogeneous Multi-Robot Cooperation. Massachusetts Institute of Technology Ph.D. Dissertation. Available as MIT Artificial Intelligence Laboratory Technical Report 1465 (1994)

    Google Scholar 

  8. Fontán, M.S., Matarić, M.J.: Territorial multi-robot task division. IEEE Transactions on Robotics and Automation 14, 815–822 (1998)

    Article  Google Scholar 

  9. Coordinating mobile robot group behavior using a model of interaction dynamics. In: Proceedings, The Third International Conference on Autonomous Agents (Agents 1999), pp. 100–107 (1999)

    Google Scholar 

  10. Shannon, C.E., Weaver, W.: Mathematical theory of communication. Univerisity of Illinois Press, Urbana (1963)

    MATH  Google Scholar 

  11. Watkins, C., Dayan, P.: Q-Learning. Machine Learning 8, 279–292

    Google Scholar 

  12. Mataric, M.: Reinforcement learning in the multi-robot domain. Autonomous Robots 4(1), 73–83 (1997)

    Article  Google Scholar 

  13. Zinkevich, M., Balch, T.: Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning. In: International Conference on Machine Learning, pp. 632–642 (2001)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Balch, T. (2005). Communication, Diversity and Learning: Cornerstones of Swarm Behavior. In: Åžahin, E., Spears, W.M. (eds) Swarm Robotics. SR 2004. Lecture Notes in Computer Science, vol 3342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30552-1_3

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  • DOI: https://doi.org/10.1007/978-3-540-30552-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24296-3

  • Online ISBN: 978-3-540-30552-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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