Summary
Designing efficient bidding strategies for agents participating in multiple, sequential auctions remains an important challenge for researchers in agent-mediated electronic markets. The problem is particularly hard if the bidding agents have complementary (i.e. super-additive) utilities for the items being auctioned, such as is often the case in distributed transportation logistics. This paper studies the effect that a bidding agent’s attitude towards taking risks plays in her optimal, decision-theoretic bidding strategy. We model the sequential bidding decision process as an MDP and we analyze, for a category of expectations of future price distributions, the effect that a bidder’s risk aversion profile has on her decision-theoretic optimal bidding policy. Next, we simulate the above strategies, and we study the effect that an agent’s risk aversion has on the chances of winning the desired items, as well as on the market efficiency and expected seller revenue. The paper extends the results presented in our previous work (reported in [1]), not only by providing additional details regarding the analytical part, but also by considering a more complex and realistic market setting for the simulations. This simulation setting is based on a real transportation logistics scenario [2]), in which bidders have to choose between several combinations (bundles) of orders that can be contracted for transportation.
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References
Robu, V., La Poutré, H.: Designing bidding strategies in sequential auctions for risk averse agents. In: Proc. of the 9th Int. Workshop on Agent-Mediated Electronic Commerce (AMEC 2007), Honolulu, Hawai’i. LNCS (LNBI). Springer, Heidelberg (2007) (to appear)
Robu, V., Noot, H., La Poutré, H., van Schijndel, W.-J.: An agent platform for auction-based allocation of loads in transportation logistics. In: Proc. of AAMAS 2008 (Industry Track), Estoril, Portugal, pp. 3–10. IFAAMAS Press (2008)
Reeves, D.M., Wellman, M.P., MacKie-Mason, J.K., Osepayshvili, A.: Exploring bidding strategies for market based scheduling. Decision Support Syst. 39, 67–85 (2005)
Boutilier, C., Goldszmidt, M., Sabata, B.: Sequential auctions for the allocation of resources with complementarities. In: Proc. of the 16th Int. Joint Conf. on AI (IJCAI 1999), Stockholm, pp. 527–534 (1999)
Greenwald, A., Boyan, J.: Bidding under uncertainty: Theory and experiments. In: Proceedings of the 20th Conf. on Uncertainty in AI (UAI 2004), pp. 209–216 (2004)
Hoen, P.J., La Poutré, J.A.: Repeated auctions with complementarities. In: La Poutré, H., Sadeh, N.M., Janson, S. (eds.) AMEC 2005 and TADA 2005. LNCS, vol. 3937, pp. 16–29. Springer, Heidelberg (2006)
Osepayshvili, A., Wellman, M.P., Reeves, D.M., MacKie-Mason, J.K.: Self-confirming price prediction for bidding in simultaneous ascending auctions. In: Proc. of the 21st Conf. on Uncertainty in AI, UAI 2005 (2005)
Gerding, E.H., Dash, R.K., Yuen, D.C.K., Jennings, N.R.: Bidding optimally in concurrent second-price auctions of perfectly substitutable goods. In: Proc. of AAMAS 2006, Honolulu, Hawaii, pp. 267–274 (2007)
Arrow, K.J.: Aspects of the Theory of Risk-Bearing. Y. Hahnsson Foundation, Helsinki (1965)
Green, W.H.: Econometric Analysis. Prentice Hall, Englewood Cliffs (1993)
Paarsch, H.J., Hong, H.: An Introduction to the Structural Econometrics of Auction Data. MIT Press, Cambridge (2006)
Mas-Collel, A., Whinston, M.D., Green, J.R.: Microeconomic Theory. Oxford University Press, Oxford (1995)
Milgrom, P.: Putting Auction Theory to Work. Cambridge University Press, Cambridge (2004)
Babanov, A., Collins, J., Gini, M.: Harnessing the search for rational bid schedules with stochastic search. In: Proc. of AAMAS 2004, New York, USA, pp. 355–368 (2004)
Liu, Y., Goodwin, R., Koenig, S.: Risk-averse auction agents. In: Proc. of AAMAS 2003, Melbourne, Australia, pp. 353–360 (2003)
Dash, R.K., Jennings, N.R., Parkes, D.C.: Computational mechanism design: A call to arms. IEEE Intelligent Systems, 40–47 (2003)
Vetsikas, I.A., Jennings, N.R.: Towards agents participating in realistic multiunit sealed-bid auctions. In: Proc. 7th Int. Conf. on Autonomous Agents and Multi-agent Systems (AAMAS 2008), Estoril, Portugal, pp. 1621–1624 (2008)
Jiang, A.X., Leyton-Brown, K.: Bidding agents for online auctions with hidden bids. Machine Learning (2006) (to appear)
Milgrom, P., Weber, R.J.: A theory of auctions and competitive bidding - part 2. Economic Theory of Auctions (2000)
van der Putten, S., Robu, V., La Poutré, J.A., Jorritsma, A., Gal, M.: Automating supply chain negotiations using autonomous agents: a case study in transportation logistics. In: Proc. 5th Int. Joint Conf. on Autonomous Agents and Multi Agent Systems (AAMAS 2006), Industry Track, pp. 1506–1513. ACM Press, New York (2006)
Juda, A.I., Parkes, D.C.: An options-based method to solve the composability problem in sequential auction. In: Agent-Mediated Electronic Commerce VI, pp. 44–58. Springer, Heidelberg (2006)
Mous, L., Robu, V., La Poutré, H.: Using priced options to solve the exposure problem in sequential auctions. In: Proc. of the 10th Int. Workshop on Agent-Mediated Electronic Commerce (AMEC 2008), Estoril, Portugal. LNCS (LNAI). Springer, Heidelberg (2008) (to appear)
Mous, L., Robu, V., La Poutré, H.: Can priced options solve the exposure problem in sequential auctions. ACM SIGEcom Exchanges 7(2) (2008)
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Robu, V., La Poutré, H. (2009). Designing Risk-Averse Bidding Strategies in Sequential Auctions for Transportation Orders. In: Ito, T., Zhang, M., Robu, V., Fatima, S., Matsuo, T. (eds) Advances in Agent-Based Complex Automated Negotiations. Studies in Computational Intelligence, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03190-8_7
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DOI: https://doi.org/10.1007/978-3-642-03190-8_7
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