Parkes, David C.

2008
Erik Schultink, Ruggiero Cavallo, and David C. Parkes. 2008. “Economic hierarchical Q-learning.” In Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Pp. 689–695. Download
Ruggiero Cavallo and David C. Parkes. 2008. “Efficient Metadeliberation Auctions.” In Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Pp. 50–56. Chicago, IL. Download
Haoqi Zhang and David C. Parkes. 2008. “Enabling Environment Design via Active Indirect Elicitation.” In Proc. Workshop on Preference Handling. Chicago, IL. Download
Sébastien Lahaie, David C. Parkes, and David Pennock. 2008. “An Expressive Auction Design for Online Display Advertising.” In 23rd AAAI Conference on Artificial Intelligence, Pp. 108–113. Download
Craig Boutilier, David C. Parkes, Tuomas Sandholm, and William E. Walsh. 2008. “Expressive Banner Ad auctions and Model-based Online Optimization for Clearing.” In Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Pp. 30–37. Download
Shaili Jain and David C. Parkes. 2008. “A Game-Theoretic Analysis of Games with a Purpose.” In 4th International Workshop on Internet and Network Economics (WINE'08), Pp. 342–350. Download
Mark Klein, Gabriel A. Moreno, David C. Parkes, Daniel Plakosh, Sven Seuken, and Kurt C. Wallnau. 2008. “Handling interdependent values in an auction mechanism for bandwidth allocation in tactical data networks.” In Proc. ACM SIGCOMM 2008 Workshop on Economics of Networked Systems (NetEcon'08), Pp. 73–78. Download
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, Sébastien Lahaie, Jeffrey Shneidman, and David C. Parkes. 2008. “ICE: An Expressive Iterative Combinatorial Exchange.” Journal of Artificial Intelligence Research, 33, Pp. 33–77. Download
Sevan Ficici, David C. Parkes, and Avi Pfeffer. 2008. “Learning and solving many-player games through a cluster-based representation.” In Proc. 24th Conference in Uncertainty in Artificial Intelligence (UAI'08), Pp. 187–195. Download
Adrian Petcu, Boi Faltings, and David C. Parkes. 2008. “M-DPOP: Faithful Distributed Implementations of Efficient Social Choice Problems.” Journal of Artificial Intelligence Research, 32, Pp. 705–755. Download
Sébastien Lahaie and David C. Parkes. 2008. “A Modular Framework for Iterative Combinatorial Auctions.” SIGecom Exchanges, 7.2. Download
Sven Seuken, Ruggiero Cavallo, and David C. Parkes. 2008. “Partially synchronized DEC-MDPs in Dynamic Mechanism Design.” In Proc. 23rd AAAI Conference on Artificial Intelligence(AAAI'08), Pp. 162–169. Download
Lin Padgham, David C. Parkes, Joerg Mueller, and Simon Parsons. 2008. Proceedings of the Seventh International Conference on Autonomous Agents and MultiAgent Systems (AAMAS'08). Edited by Lin Padgham, David C. Parkes, Joerg Mueller, and Simon Parsons. Download
Katherine L. Milkman, James Burns, David C. Parkes, Greg Barron, and Kagan Tumer. 2008. “Testing a Purportedly More Learnable Auction Mechanism.” Applied Economics Research Bulletin, Special Issue I, Pp. 106–141. Download
Haoqi Zhang and David C. Parkes. 2008. “Value-based Policy Teaching with Active Indirect Elicitation.” In Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Pp. 208–214. Chicago, IL. Download
2007
R. Kang-Xing Jin, David C. Parkes, and Patrick J. Wolfe. 2007. “Analysis of Bidding Networks in eBay: Aggregate Preference Identification through Community Detection.” In Proc. AAAI Workshop on Plan, Activity and Intent Recognition (PAIR). Vancouver, Canada. Download
Debasis Mishra and David C. Parkes. 2007. “Ascending Price Vickrey Auctions for General Valuations.” Journal of Economic Theory, 132, Pp. 335–366. Download
Jonathan Bredin, David C. Parkes, and Quang Duong. 2007. “Chain: A Dynamic Double Auction Framework for Matching Patient Agents.” Journal of Artificial Intelligence Research, 30, Pp. 133–179. Download
Christopher Thorpe and David C. Parkes. 2007. “Cryptographic Securities Exchanges.” In Proc. 11th International Conference onFinancial Cryptography and Data Security, Pp. 163–178. Trinidad/Tobago. Download
Laura Kang and David C. Parkes. 2007. “A Decentralized Auction Framework to Promote Efficient Resource Allocation in Open Computational Grids.” In Proc. Joint Workshop on The Economics of Networked Systems and Incentive-Based Computing (NetEcon-IBC). San Diego, CA. Download

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