Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2010
Abstract
This paper is concerned with solving decentralized resource allocation and scheduling problems via auctions with negotiable agents by allowing agents to switch their bid generation strategies within the auction process, such that a better system wide performance is achieved on average as compared to the conventional walrasian auction running with agents of fixed bid generation strategy. We propose a negotiation mechanism embedded in auctioneer to solicit bidders’ change of strategies in the process of auction. Finally we benchmark our approach against conventional auctions subject to the real-time large-scale dynamic resource coordination problem to demonstrate the effectiveness of our approach.
Keywords
Negotiable agents, Decentralized resource allocation, Scheduling, Walrasian auction
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Publication
IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology WI-IAT 2010: 31 August-3 September 2010, Toronto: Proceedings
First Page
356
Last Page
360
ISBN
9780769541914
Identifier
10.1109/WI-IAT.2010.113
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
CHEN, Huaxing and LAU, Hoong Chuin.
Decentralized Resource Allocation and Scheduling via Walrasian Auctions with Negotiable Agents. (2010). IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology WI-IAT 2010: 31 August-3 September 2010, Toronto: Proceedings. 356-360.
Available at: https://ink.library.smu.edu.sg/sis_research/1014
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2010.113
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons