Presentation | 2013-11-28 Efficient team formation in a large-scale environment Masashi HAYANO, Toshiharu SUGAWARA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose an efficient team formation method for multi-agent system in a large-scale environment. We previously proposed the parameter learning method that enables agents to identify their roles through team formation without assumption that agents have information about resources of other agents. However, this method assumes that each agent have to maintain the learning parameters for all other agents. Thus, it required consider- able computational time and large memory when the number of agents increased. To overcome this problem, we introduce the concept "purviews," which are the small set of agents that are the potential members of the future teams. They also used to restrict the agents to learn their resources and their parameters for role decision, their parameters for role Agents also revise the purviews according to the contribution in the team formation. The result shows that the proposed method increase the received utilities in comparison with our previous method in large-scale, busy multi-agent systems. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | team formation / task allocation |
Paper # | AI2013-20 |
Date of Issue |
Conference Information | |
Committee | AI |
---|---|
Conference Date | 2013/11/21(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Efficient team formation in a large-scale environment |
Sub Title (in English) | |
Keyword(1) | team formation |
Keyword(2) | task allocation |
1st Author's Name | Masashi HAYANO |
1st Author's Affiliation | Waseda Univercity() |
2nd Author's Name | Toshiharu SUGAWARA |
2nd Author's Affiliation | Waseda Univercity |
Date | 2013-11-28 |
Paper # | AI2013-20 |
Volume (vol) | vol.113 |
Number (no) | 332 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |