ABSTRACT
Auctions have recently commanded a great deal of attention in the field of multi-agent systems. Correctly judging the quality of auctioned goods is often difficult for amateurs, in particular, on the Internet auctions. We have formalized such a situation so that Nature selects the quality of the auctioned good. Experts can observe Nature's selection (i.e., the quality of the good) correctly, while amateurs, including the auctioneer, cannot. In other words, the information on Nature's selection is asymmetric between experts and amateurs. In this situation, it is difficult to attain an efficient allocation, since experts have a clear advantage over amateurs, and they would not reveal their valuable information without some reward. Thus, we have succeeded in developing a single unit auction protocol in which truth telling is a dominant strategy for each expert. In this paper, we focus on a combinatorial auction protocol under asymmetric information on Nature's selection. Experts may have an interest in, and expert knowledge on, Nature's selection for several goods, i.e., experts are versatile. However, the case of versatile experts is very complicated. Thus, as a first step, we assume experts to have an interest in, and expert knowledge on, a single good. That is, experts are single-skilled. Under these assumptions, we develop an auction protocol in which the dominant strategy for experts is truth telling. Also, for amateurs, truth-telling is the best response when experts tell the truth. By making experts to elicit their information on the quality of the goods, the protocol can achieve a Pareto efficient allocation, if certain assumptions are satisfied.
- C. Boutilier,M. Goldszmidt, and B. Sabata. Sequential auctions for the allocation of resources with complementarities. In Proc. of the sixteenth International Joint Conference on Artificial Intelligence, pages 524--534, 1999. Google ScholarDigital Library
- Y. Fujishima, K. Leyton-Brown, and Y. Shoham. Taming the computational complexity of combinatorial auctions: Optimal and approximate approarches. In Proc. of the 16th International Joint Conference on Artificial Intelligence (IJCAI99), pages 548--553, 1999. Google ScholarDigital Library
- R. H. Guttman, A. G. Moukas, and P. Maes. Agent-mediated electronic commerce: A survey. The Knowledge Engineering Review,13(2):147--159, 1998. Google ScholarDigital Library
- B. Hudson and T. Sandholm. Effectiveness of preference elicitation in combinatorial auctions. In Proc. of AAMAS02 Workshop on Agent Mediated Electronic Commerce IV (AMEC IV), 2002. Google ScholarDigital Library
- L. Hunsberger and B. J. Grosz. A combinatorial auction for collaborative planning. In Proc. of the 4th International Conference on Multi-Agent Systems, pages 151--158, 2000. Google ScholarDigital Library
- T. Ito, M. Yokoo, and S. Matsubara. Designing an auction protocol under asymmetric information on nature's selection. In Proc. of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS02), pages 61--68, 2002. Google ScholarDigital Library
- C. Li and K. Sycara. Algorithm for combinatorial coalition formation and payoff division in an electronic marketplace. In Proc. of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS02), pages 120--127, 2002. Google ScholarDigital Library
- A. Mas-Colell, M. D. Whinston, and J. R. Green. Microeconomic Theory. Oxford University Press, 2nd edition, 1995.Google Scholar
- E. Rasmusen. Games and Information. Blackwell Publishers Ltd, 2nd edition, 1994.Google Scholar
- T. Sandholm. An algorithm for optimal winnr determination in combinatorial auctions. In Proc. of the 16th International Joing Conference on Artificial Intelligence(IJCAI '99), pages 542--547, 1999. Google ScholarDigital Library
- T. Sandholm. eMediator: A next generation electronic commerce server. In Proc. of the International Conference on Autonomous Agents (AGENTS00), pages 341--438, 2000. Google ScholarDigital Library
- T. Sandholm. Improved algorithms for optimal winner determination in combinatorial auctions and generalizations. In Proc. of 17th National Conference on Artificial Intelligence (AAAI2000), pages 90--97, 2000. Google ScholarDigital Library
- T. Sandholm, S. Suri, A. Gilpin, and D. Levine. Winner determination in combinatorial auction generalizations. In Proc. of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS02), pages 69--76, 2002. Google ScholarDigital Library
- H. R. Varian. Economic mechanism design for computerized agents. In Proc. of the First Usenix Workshop on Electronic Commerce, 1995. Google ScholarDigital Library
- P. R. Wurman, M. P. Wellman, and W. E. Walsh. The Michigan internet auctionbot: A configurable auction server for human and software agents. In Proc. of the 2nd International Conference on Autonomous Agents(AGENTS98), 1998. Google ScholarDigital Library
Index Terms
- Towards a combinatorial auction protocol among experts and amateurs: the case of single-skilled experts
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