Abstract
Dynamic decentralized resource allocation for information-collection can play a critical role in emergency scenarios. We explore two simplified scenarios for information-collection, and define market games for allocating resources to interdependent tasks. Experiments with a market game for disaster-response illustrate our general methodology for analyzing strategic interactions in such an environment.
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References
Wellman, M.P., Wurman, P.R.: Market-aware agents for a multiagent world. Robotics and Autonomous Systems 24, 115–125 (1998)
Clearwater, S. (ed.): Market-Based Control: A Paradigm for Distributed Resource Allocation. World Scientific, Singapore (1995)
Ygge, F., Akkermans, H.: Decentralized markets versus central control: A comparative study. Journal of Artificial Intelligence Research 11, 301–333 (1999)
Applin, D., Coleman, P., McCoy, P., Rouff, C.: An agent-based and marketoriented approach to distributed isr resource allocation. In: IEEE Aerospace Conference, Big Sky, MT (2002)
Wurman, P.R., Wellman, M.P., Walsh, W.E.: The michigan internet auctionbot: A configurable auction server for human and software agents. In: Second International Conference on Autonomous Agents, Minneapolis, pp. 301–308 (1998)
Wurman, P.R., Wellman, M.P., Walsh, W.E.: A parametrization of the auction design space. Games and Economic Behavior 35, 304–338 (2001)
Wellman, M.P., Wurman, P.R., OMalley, K., Bangera, R., de Lin, S., Reeves, D., Walsh, W.E.: Designing the market game for a trading agent competition. IEEE Internet Computing 5, 43–51 (2001)
Wellman, M.P., Greenwald, A., Stone, P., Wurman, P.R.: The 2001 trading agent competition. Electronic Markets 13, 4–12 (2003)
Greenwald, A.: The 2002 trading agent competition: An overview of agent strategies. AI Magazine 24, 83–91 (2003)
Stone, P., Littman, M.L., Singh, S., Kearns, M.: Attac-2000: An adaptive autonomous bidding agent. Journal of Artificial Intelligence Research 15, 189–206 (2001)
Friedman, D., Rust, J. (eds.): The Double Auction Market. Addison-Wesley, Reading (1993)
Cramton, P.: Ascending auctions. European Economic Review 42, 745–756 (1998)
Walsh, W.E., Wellman, M.P.: Decentralized supply chain formation: A market protocol and competitive equilibrium analysis. Journal of Artificial Intelligence Research (2003)
Wellman, M.P., MacKie-Mason, J.K., Reeves, D.M., Swaminathan, S.: Exploring bidding strategies for market-based scheduling. In: Fourth ACM Conference on Electronic Commerce, San Diego (2003)
Taylor, P., Jonker, L.: Evolutionary stable strategies and game dynamics. Mathematical Biosciences 40, 145–156 (1978)
Schuster, P., Sigmund, K.: Replicator dynamics. Journal of Theoretical Biology 100, 533–538 (1983)
Friedman, D.: Evolutionary games in economics. Econometrica 59, 637–666 (1991)
Fudenberg, D., Tirole, J.: Game Theory. MIT Press, Cambridge (1991)
McKelvey, D., McLennan, A.: Computation of equilibria in finite games. In: Handbook of Computational Economics, vol. 1, Elsevier, Amsterdam (1996)
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Cheng, SF., Wellman, M.P., Perry, D.G. (2004). Market-Based Resource Allocation for Information-Collection Scenarios. In: Kurumatani, K., Chen, SH., Ohuchi, A. (eds) Multi-Agent for Mass User Support. MAMUS 2003. Lecture Notes in Computer Science(), vol 3012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24666-4_3
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DOI: https://doi.org/10.1007/978-3-540-24666-4_3
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