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Strategies in competing subset selection

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Abstract

We address an optimization problem in which two agents, each with a set of weighted items, compete in order to minimize the total weight of their solution sets. The latter are built according to a sequential procedure consisting in a fixed number of rounds. In every round each agent submits one item that may be included in its solution set. We study two natural rules to decide which item between the two will be included.

We address the problem from a strategic point of view, that is finding the best moves for one agent against the opponent, in two distinct scenarios. We consider preventive or minimax strategies, optimizing the objective of the agent in the worst case, and best-response strategies, where the items submitted by the opponent are known in advance in each round.

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References

  • Aggarwal, G., & Hartline, J. D. (2006). Knapsack auctions. In Proceedings of the 17th annual ACM-SIAM symposium on discrete algorithms (pp. 1083–1092).

    Chapter  Google Scholar 

  • Borodin, A., & El-Yaniv, R. (1998). Online computation and competitive analysis. Cambridge: Cambridge University Press.

    Google Scholar 

  • Brotcorne, L., Hanafi, S., & Mansi, R. (2009). A dynamic programming algorithm for the bilevel knapsack problem. Operations Research Letters, 37, 215–218.

    Article  Google Scholar 

  • Cardinal, J., & Hoefer, M. (2010). Non-cooperative facility location and covering games. Theoretical Computer Science, 411, 1855–1876.

    Article  Google Scholar 

  • Demaine, E. D. (2001). In Lecture notes in computer science: Vol. 2136. Playing games with algorithms: algorithmic combinatorial game theory (pp. 18–33).

    Google Scholar 

  • Felici, G., Mecoli, M., Mirchandani, P. B., & Pacifici, A. (2008). Equilibrium in a two-agent assignment problem. International Journal of Operational Research, 6, 4–26.

    Article  Google Scholar 

  • Fujimoto, M., & Yamada, T. (2006). An exact algorithm for the knapsack sharing problem with common items. European Journal of Operational Research, 171, 693–707.

    Article  Google Scholar 

  • Hifi, M., M’Hallab, H., & Sadfi, S. (2005). An exact algorithm for the knapsack sharing problem. Computers and Operations Research, 32, 1311–1324.

    Article  Google Scholar 

  • Kahn, J., Lagarias, J. C., & Witsenhausen, H. S. (1987). Single-suit two-person card play. International Journal of Game Theory, 16, 291–320.

    Article  Google Scholar 

  • Katoh, N., Koyanagi, J., Ohnishi, M., & Ibaraki, T. (1992). Optimal strategies for some team games. Discrete Applied Mathematics, 35, 275–291.

    Article  Google Scholar 

  • Leung, J. Y.-T., Pinedo, M., & Wan, G. (2010). Competitive two-agent scheduling and its applications. Operations Research, 58, 458–469.

    Article  Google Scholar 

  • Marini, C., Nicosia, G., Pacifici, A., & Pferschy, U. (2010). Minimum cost subset selection with two competing agents. Dipartimento di Informatica e Automazione, Università “Roma Tre”, Technical Report RT-DIA-179-2010.

  • Nicosia, G., Pacifici, A., & Pferschy, U. (2011). Competitive subset selection with two agents. Discrete Applied Mathematics, 159(16), 1865–1877.

    Article  Google Scholar 

  • Schlag, K. H., & Sela, A. (1998). You play (an action) only once. Economics Letters, 59, 299–303.

    Article  Google Scholar 

  • Wang, Z., Xing, W., & Fang, S.-C. (2010). Two-group knapsack game. Theoretical Computer Science, 411, 1094–1103.

    Article  Google Scholar 

  • Wästlund, J. (2005). A solution of two-person single-suit whist. The Electronic Journal of Combinatorics, 12, R43.

    Google Scholar 

Download references

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Correspondence to Andrea Pacifici.

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Marini, C., Nicosia, G., Pacifici, A. et al. Strategies in competing subset selection. Ann Oper Res 207, 181–200 (2013). https://doi.org/10.1007/s10479-011-1057-2

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