Presentation 2014-03-04
Member selection in team formation using relationship of trustworthiness and reward estimation
Yuki MIYASHITA, Toshiharu SUGAWARA,
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Abstract(in English) We aim at achieving autonomous team formation for efficient task assignment by limiting the group that formed through past experience of reward distribution and the successful ratios of task processing in multi-agent systems. Supposing team formation in large-scale multi-agent systems, the costs for any agent's selecting member and for processing messages among agents considerably increase and thus agents are being exposed to increase contention for selecting members. We focus on the fact that the process for team formation to use agent's resource in the past studies is quite similar with the feature of iterative Ultimatum game. We try to formulate the resource allocation problem using iterative multi-person ultimatum game and investigate the effects of rationality and fairness of agents on the stability of autonomous team formation.
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Keyword(in English) Team Formation / Learning / Re-organization / Ultimatum game
Paper # AI2013-47
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Committee AI
Conference Date 2014/2/24(1days)
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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) Member selection in team formation using relationship of trustworthiness and reward estimation
Sub Title (in English)
Keyword(1) Team Formation
Keyword(2) Learning
Keyword(3) Re-organization
Keyword(4) Ultimatum game
1st Author's Name Yuki MIYASHITA
1st Author's Affiliation Deaprtment of Computer Science and Engineering, Waseda University()
2nd Author's Name Toshiharu SUGAWARA
2nd Author's Affiliation Deaprtment of Computer Science and Engineering, Waseda University
Date 2014-03-04
Paper # AI2013-47
Volume (vol) vol.113
Number (no) 459
Page pp.pp.-
#Pages 6
Date of Issue