Spike response threshold model for task allocation in multi-agent systems

Wonki Lee, DaeEun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper focuses on task allocation problem in multi-agent system and we consider the solution for regulating the proportion of groups performing tasks equally to the proportion of task demands. The response threshold model inspired by division of labor observed in insect societies is applied. Each agent converts the information from surrounding environment to the spike and decides its task based on the response threshold model. The decision of an agent has partial control over its environment, but the overall system shows a desired performance. The algorithm is implemented using simulated robots and demonstrates its adaptivity with changes for task demands and the number of agents in a group.

Original languageEnglish
Title of host publicationRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1165-1168
Number of pages4
ISBN (Electronic)9781538635186
DOIs
Publication statusPublished - 2017 Dec 8
Event26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal
Duration: 2017 Aug 282017 Sep 1

Publication series

NameRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
Volume2017-January

Other

Other26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
CountryPortugal
CityLisbon
Period17/8/2817/9/1

Fingerprint

Task Allocation
Threshold Model
Multi agent systems
Spike
Multi-agent Systems
Proportion
Adaptivity
Convert
Division
Robot
Personnel
Robots
Partial
Demonstrate

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Control and Optimization

Cite this

Lee, W., & Kim, D. (2017). Spike response threshold model for task allocation in multi-agent systems. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication (pp. 1165-1168). (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2017.8172451
Lee, Wonki ; Kim, DaeEun. / Spike response threshold model for task allocation in multi-agent systems. RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1165-1168 (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication).
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Lee, W & Kim, D 2017, Spike response threshold model for task allocation in multi-agent systems. in RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1165-1168, 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017, Lisbon, Portugal, 17/8/28. https://doi.org/10.1109/ROMAN.2017.8172451

Spike response threshold model for task allocation in multi-agent systems. / Lee, Wonki; Kim, DaeEun.

RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1165-1168 (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee W, Kim D. Spike response threshold model for task allocation in multi-agent systems. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1165-1168. (RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2017.8172451