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 language | English |
|---|---|
| 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. |
| Pages | 1165-1168 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538635186 |
| DOIs | |
| 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 |
Publication series
| Name | RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication |
|---|---|
| Volume | 2017-January |
Other
| Other | 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 |
|---|---|
| Country | Portugal |
| City | Lisbon |
| Period | 17/8/28 → 17/9/1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Human-Computer Interaction
- Control and Optimization
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Spike response threshold model for task allocation in multi-agent systems
AU - Lee, Wonki
AU - Kim, DaeEun
PY - 2017/12/8
Y1 - 2017/12/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85045846468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045846468&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2017.8172451
DO - 10.1109/ROMAN.2017.8172451
M3 - Conference contribution
AN - SCOPUS:85045846468
T3 - RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
SP - 1165
EP - 1168
BT - RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
PB - Institute of Electrical and Electronics Engineers Inc.
ER -