Daniel Reeves

NB: For up-to-date publications, see my CV: dreev.es/cv

Affiliations

• University of Michigan
• College of Engineering
• Electrical Engineering and Computer Science (EECS)
• Artificial Intelligence Laboratory
• Decision Machine Group
• DEXTER project
• Socio-Technical Infrastructure for Electronic Transactions (STIET)
• Hewlett-Packard Research Labs, summer 2001
• Other memberships
• American Association for Artificial Intelligence (AAAI)

Reseach interests

Selected Publications and Presentations

• Daniel M Reeves. Agent-based Programming and Mathematica as a Web/Scripting Language. Invited Talk. Mathematica Developers Conference, Champaign, IL, October 1999.
• David Lucking-Reiley, Doug Bryan, Naghi Prasad, Daniel Reeves. Pennies from eBay: the Determinants of Price in Online Auctions. Econometric Society World Congress, Seattle, WA, August 2000. (working version)
• Terence Kelly and Daniel Reeves. Optimal Web Cache Sizing: Scalable Methods for Exact Solutions. Computer Communications Vol 24 (2001 Feb) pp 163-173. (PDF) An earlier version appeared in the proceedings of The 5th International Web Caching and Content Delivery Workshop, 2000 May 22-24, Lisbon, Portugal.
• Junling Hu, Daniel Reeves, and Hock-Shan Wong. Personalized Bidding Agents for Online Auctions. Proceedings of The 5th International Conference on the Practical Application of Intelligent Agents and Multi-Agents, Manchester, UK, April 2000. An earlier version appeared as "Agent Service for Online Auctions" in the Proceedings of the AAAI-99 Workshop on Artificial Intelligence in Electronic Commerce (AIEC-99), Menlo Park, CA, USA.
• MP Wellman, PR Wurman, K O'Malley, R Bangera, S Lin, DM Reeves, WE Walsh. Designing the Market Game for a Trading Agent Competition. IEEE Internet Computing, pages 43-51, March/April 2001. (abstract and download)
• Naomaru Itoi, William A Arbaugh, Samuela J Pollack, Daniel M Reeves. Personal Secure Booting. Sixth Australasian Conference on Information Security and Privacy (ACISP2001). Sydney, Australia (July 2001).
• Daniel M Reeves, Michael P Wellman, Benjamin N Grosof. Automated Negotiation from Declarative Contract Descriptions. Computational Intelligence, volume 18, pages 482-500, 2002. Revised and extended version of a paper presented at the Fifth International Conference on Autonomous Agents (Agents'01), Montreal, Canada, May 2001. (Winner of Outstanding Student Paper Award). (abstract and download)
• Shih-Fen Cheng, Evan Leung, Kevin M Lochner, Kevin O'Malley, Daniel M Reeves, L Julian Schvartzman, Michael P Wellman. Walverine: A Walrasian Trading Agent. Decision Support Systems, volume 39, pages 169-184, 2005. An earlier version appeared in the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-03), pages 465-472, Melbourne, July 2003. (abstract and download)
• Michael P Wellman, Daniel M Reeves, Kevin M Lochner, Yevgeniy Vorobeychik. Price Prediction in a Trading Agent Competition. Journal of Artificial Intelligence Research, volume 21, pages 19-36, 2004. (abstract and download)
• Daniel M Reeves, Michael P Wellman, Jeffrey K MacKie-Mason, Anna Osepayshvili. Exploring Bidding Strategies for Market-Based Scheduling. Decision Support Systems, volume 39, pages 67-85, 2005. An earlier version appeared (with co-author Sowmya Swaminathan) in the Fourth ACM Conference on Electronic Commerce (EC-03), pages 115-124, San Diego, June 2003. (abstract and download)
• Michael P Wellman, Shih-Fen Cheng, Daniel M Reeves, Kevin M Lochner. Trading Agents Competing: Performance, Progress, and Market Effectiveness. IEEE Intelligent Systems, volume 18, number 6, pages 48-53, 2003. Revised and extended version of a paper presented at the IJCAI-03 Workshop on Trading Agent Design and Analysis (TADA-03). (abstract and download)
• Jeffrey K MacKie-Mason, Anna Osepayshvili, Daniel M Reeves, Michael P Wellman. Price Prediction Strategies for Market-Based Scheduling. Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-04), pages 244-252, 2004. (abstract and download)
• Daniel M Reeves, Michael P Wellman. Computing Best-Response Strategies in Infinite Games of Incomplete Information. Twentieth Conference on Uncertainty in Artificial Intelligence (UAI-04), pages 470-478, 2004. (abstract and download; source code)
• Michael P Wellman, Daniel M Reeves, Kevin M Lochner, Shih-Fen Cheng, Rahul Suri. Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games. Twentieth National Conference on Artificial Intelligence, 2005. A version of this paper, with additional write-up of our entry in the 2005 Trading Agent Competition (TAC Travel) appeared in the IJCAI-05 Workshop on Trading Agent Design and Analysis (TADA-05). (abstract and download)
• Anna Osepayshvili, Michael P Wellman, Daniel M Reeves, and Jeffrey K MacKie-Mason. Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. Twenty-First Conference on Uncertainty in Artificial Intelligence, 2005. (abstract and download)
• Daniel M Reeves. Generating Trading Agent Strategies: Analytic and Empirical Methods for Infinite and Large Games. PhD Thesis, University of Michigan, 2005.

Colleagues