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Lukas Esterle

Entropy-Based Team Self-Organization with Signal Suppression

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review


  • David W. King, United States Air Force Institute of Technology, USA
  • Lukas Esterle
  • Gilbert L. Peterson, United States Air Force Institute of Technology, USA
Self-organized and distributed control methods are increas- ingly important as they allow multi-agent systems to scale more readily than centralized control techniques. Further- more, these methods increase system robustness and flexi- bility. In the online multi-object k-coverage domain stud- ied here, a collective of autonomous agents must dynami- cally form sub-teams to accomplish two concurrent tasks: target discovery and coverage. Once a target is discovered, the collective of agents must create a sub-team of k-agents to cover the target. The work presented here introduces a novel, entropy-based task selection technique that incorpo- rates signal suppression behaviors found in bee colonies. We test the technique in the online multi-object k-coverage do- main while exploring three team properties: heterogeneity, team size, and sensor ranges, and their impact on multi-task accomplishment. Results show that signal suppression helps avoid over-provisioning of team resources to individual tar- gets, dynamically creating sub-teams that simultaneously ac- complish target discovery and coverage tasks.
TitelALIFE 2019: The 2019 Conference on Artificial Life
RedaktørerHarold Fellermann, Jaume Bacardit, Ángel Goñi Moreno, Rudolf Füchslin
Antal sider8
UdgivelsesstedCambridge, MA
ForlagMIT Press
StatusUdgivet - 2019
BegivenhedAlife 2019: The 2019 Conference on Artificial Life - Newcastle Helix, Newcastle-upon-Tyne, Storbritannien
Varighed: 29 jul. 20192 aug. 2019


KonferenceAlife 2019: The 2019 Conference on Artificial Life
LokationNewcastle Helix

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