Anthony, P., & Jennings, N. R. (2003). Developing a bidding agent for multiple heterogeneous auctions. ACM Transactions on Internet Technology
Ariely, D., & Simonson, I. (2003). Buying, bidding, playing, or competing? Value assessment and decision dynamics in online auctions. Journal of Consumer Psychology, 13(1–2), 113–123.
Bajari, P., & Hortacsu, A. (2003). The winner’s curse, reserve prices and endogenous entry: Empirical insights from eBay auctions. RAND Journal of Economics
Bapna, R. (2003). When snipers become predators: Can mechanism design save online auctions? Communications of the ACM
Bapna, R., Goes, P., & Gupta, A. (2003). Replicating online Yankee auctions to analyze auctioneers’ and bidders’ strategies. Information Systems Research
Bapna, R., Jank, W., & Shmueli, G. (2004). Price formation and its dynamics in online auctions
(Working paper). Department of Operations and Information Management, University of Maryland. Available online: http://www.rhsmith.umd.edu/ceme/statistics/auctionDynamics.pdf
de Carvalho, R. A., & Costa, H. G. (2007). Application of an integrated decision support process for supplier selection. Enterprise Information Systems
Easley, R. F., & Tenorio, R. (2004). Jump bidding strategies in internet auctions. Management Science
Greenwald, A. (2003). The 2002 trading agent competition: An overview of agent strategies. AI Magazine, 24(1), 83–91.
Gregg, D. G., & Walczak, S. (2006). Auction advisor: Online auction recommendation and bidding decision support system. Decision Support Systems
Gregg, D. G., & Walczak, S. (2003). E-commerce auction agents and online-auction dynamics. Electronic Markets
He, M. H., Jennings, N. R., & Prgel-Bennett, A. (2004). An adaptive bidding agent for multiple English auctions: A neuro-fuzzy approach. In: Proceedings of IEEE conference on fuzzy systems, Budapest, Hungary (pp. 1519–1524).
Ito, T., Fukuta, N., Shintani, T., & Sycara, K. (2000). Biddingbot: A multiagent support system for cooperative bidding in multiple auctions. In Proceedings of the 4th international conference on multi-agent systems, Boston, MA (pp. 399–400). Los Alamitos: IEEE Comput. Soc.
Kauffman, R. J., & Wood, C. (2006). Doing their bidding: An empirical examination of factors that affect a buyer’s utility in internet auctions. Information Technology and Management
Kwang, M. S., & Wong, E. (2001). Toward market-driven agents for electronic auction. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Kwon, R. H., Anandalingam, G., & Ungar, L. H. (2005). Iterative combinatorial auctions with bidder-determined combinations. Management Science
LeBaron, B. (2000). Agent based computational finance: Suggested readings and early research. Journal of Economic Dynamics and Control
Liu, Y. X., Goodwin, R., & Koenig, S. (2003). Risk-averse auction agents. In Proceedings of the 2nd international joint conference on autonomous agents and multiagent systems (AAMAS), Melbourne, Australia (pp. 353–360).
Luo, J., Xu, L., Jamont, J.-P., Zeng, L., & Shi, Z. (2007). Flood decision support system on agent grid: Method and implementation. Enterprise Information Systems
Lucking-Reiley, D. (2000). Auctions on the internet: What’s being auctioned and how? Journal of Industrial Economics, 48(3), 227–252.
Matsubara, S. (2000). Accelerating information revelation in ascending-bid auctions: Avoiding last minute bidding. In Proceedings of the 3rd ACM conference on electronic commerce, Tampa, Florida, USA (pp. 29–37).
Matsumoto, Y., & Fujita, S. (2001). An auction agent for bidding on combinations of items. In Proceedings of the fifth international conference on autonomous agents, Montreal, Quebec, Canada (pp. 552–559).
Nwana, H. S., Rosenschein, J., Sandholm, T., Sierra, C., Maes, P., & Guttmann, R. (1998). Agent-mediated electronic commerce: Issues, challenges and some viewpoints. In Proceedings of the 2nd international conference on autonomous agents, Minneapolis (pp. 189–196).
Ockenfels, A., & Roth, A. E. (2002). The timing of bids in internet auctions: Market design, bidder behavior, and artificial agents. AI Magazine, 23(3), 79–88.
Ogston, E., & Vassiliadis, S. (2002). A peer-to-peer agent auction. In First international joint conference on autonomous agents and multi-agent systems (AAMAS), Bologna, Italy (pp. 151–159).
Parkes, D. C. (1999). iBundle: An efficient ascending price bundle auction. In Proceedings of the 1st ACM conference on electronic commerce, Denver, Colorado, USA (pp. 148–157).
Pekeč, A., & Rothkopf, M. H. (2003). Combinatorial auction design. Management Science
Pinker, E. J., Seidmann, A., & Vakrat, Y. (2003). Managing online auctions: Current business and research issues. Management Science
Rasmusson, L., & Jason, S. (1999). Agents, self-interest and electronic markets. The Knowledge Engineering Review
Roth, A. E., & Ockenfels, A. (2002). Last minute bidding and the rules for ending second-price auctions: Theory and evidence from a natural experiment on the internet. American Economic Review
Sandholm, T. (1999). Approaches to winner determination in combinatorial auctions. Decision Support Systems, 28(1–2), 165–176.
Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin
Vakrat, Y., & Seidmann, A. (2000). Implications of the bidders’ arrival process on the design of online auctions. In Proceedings of the 33rd Hawaii international conference on systems science, USA (p. 6015).
Vulkan, N. (1999). Economic implications of agent technology and e-commerce. The Economic Journal
Wilcox, R. T. (2000). Experts and amateurs: The role of experience in internet auctions. Marketing Letters
Zhang, Y., & Bhattacharyya, S. (2007). Effective of Q-learning as a tool for calibrating agent-based supply network models. Enterprise Information Systems