Presentation 2004/1/22
A Designated Bid Auction Protocol based on Evaluation Values
Tokuro MATSUO, Takayuki ITO, Toramatsu SHINTANI,
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Abstract(in English) In this paper, we propose a method of coalition formation using designated bid reverse auction protocol. The coalition formation is a promising field of agent technology and the technology has made rapid progress. In general, coalition formation problems for multiple agents are NP hard problems. When number of agents increases, solution spaces are extended exponentially. We propose a coalotion formation protocol in task allocation using an auction mechanism in which a buyer selects! sellers based on their ability to carry out the task. We also employ a combinatorial auction protocol to decide successful sellers. We show the procedure of the task allocation using our protocol. We show the extended version protocol for task allocation in which social surplus is maximum. Our mechanism reduces of number of combination in the combinatorial task allocation and can be useful in the coalition formation among multiple agents.
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Keyword(in English) Coalition formation / Internet auctions / Combinatorial auction / Designated bid reverse auction / Multi-agent / e-Commerce
Paper # AI2003-75
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Committee AI
Conference Date 2004/1/22(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) A Designated Bid Auction Protocol based on Evaluation Values
Sub Title (in English)
Keyword(1) Coalition formation
Keyword(2) Internet auctions
Keyword(3) Combinatorial auction
Keyword(4) Designated bid reverse auction
Keyword(5) Multi-agent
Keyword(6) e-Commerce
1st Author's Name Tokuro MATSUO
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Takayuki ITO
2nd Author's Affiliation Nagoya Institute of Technology
3rd Author's Name Toramatsu SHINTANI
3rd Author's Affiliation Nagoya Institute of Technology
Date 2004/1/22
Paper # AI2003-75
Volume (vol) vol.103
Number (no) 623
Page pp.pp.-
#Pages 6
Date of Issue