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.
|Title of host publication||RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2017 Dec 8|
|Event||26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal|
Duration: 2017 Aug 28 → 2017 Sep 1
|Name||RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication|
|Other||26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017|
|Period||17/8/28 → 17/9/1|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST) (No. 2014R1A2A1A11053839).
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Human-Computer Interaction
- Control and Optimization