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Possible and Necessary Allocations Under Serial Dictatorship with Incomplete Preference Lists

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Algorithmic Decision Theory (ADT 2017)

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Abstract

We study assignment problems in a model where agents have strict preferences over objects, allowing preference lists to be incomplete. We investigate the questions whether an agent can obtain or necessarily obtains a given object under serial dictatorship. We prove that both problems are computationally hard even if agents have preference lists of length at most 3; by contrast, we give linear-time algorithms for the case where preference lists are of length at most 2. We also study a capacitated version of these problems where objects come in several copies.

This work was supported by VEGA grants 1/0344/14 and 1/0142/15 from the Slovak Scientific Grant Agency and grant APVV-15-0091 (Cechlárová), by OTKA grants K108383 (Fleiner) and K108947 (Schlotter), and the MTA-ELTE Egerváry Research Group (Fleiner). The authors gratefully acknowledge the support of COST Action IC1205 Computational Social Choice.

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Notes

  1. 1.

    Note that the modifications in the reduction given in the proof of Theorem 6 that prove the hardness of 2-cpos \((I,a,\emptyset )\) and 2-cnec(Iaf(a)) still work after the application of Lemma 4.

References

  1. Abdulkadiroǧlu, A., Pathak, P.A., Roth, A.E.: Strategy-proofness versus efficiency in matching with indifferences: redesigning the NYC high school match. Am. Econ. Rev. 99(5), 1954–1978 (2009)

    Article  Google Scholar 

  2. Abdulkadiroǧlu, A., Sönmez, T.: Random serial dictatorship and the core from random endowments in house allocation problems. Econometrica 66(3), 689–701 (1998)

    Article  MathSciNet  Google Scholar 

  3. Abraham, D.J., Cechlárová, K., Manlove, D.F., Mehlhorn, K.: Pareto optimality in house allocation problems. In: Deng, X., Du, D.-Z. (eds.) ISAAC 2005. LNCS, vol. 3827, pp. 1163–1175. Springer, Heidelberg (2005). doi:10.1007/11602613_115

    Chapter  Google Scholar 

  4. Asinowski, A., Keszegh, B., Miltzow, T.: Counting houses of Pareto optimal matchings in the house allocation problem. Discrete Math. 339(12), 2919–2932 (2016)

    Article  MathSciNet  Google Scholar 

  5. Aziz, H., Bouveret, S., Lang, J., Mackenzie, S.: Complexity of manipulating sequential allocation. CoRR, abs/1602.06940 (2016). arXiv:1602.06940 [cs.GT]

  6. Aziz, H., Brandt, F., Brill, M.: The computational complexity of random serial dictatorship. Econ. Lett. 121(3), 341–345 (2013)

    Article  MathSciNet  Google Scholar 

  7. Aziz, H., Mestre, J.: Parametrized algorithms for random serial dictatorship. Math. Social Sci. 72, 1–6 (2014)

    Article  MathSciNet  Google Scholar 

  8. Aziz, H., Walsh, T., Xia, L.: Possible and necessary allocations via sequential mechanisms. In: IJCAI 2015, pp. 468–474 (2015)

    Google Scholar 

  9. Bouveret, S., Lang, J.: A general elicitation-free protocol for allocating indivisible goods. In: IJCAI 2011, pp. 73–78 (2011)

    Google Scholar 

  10. Bouveret, S., Lang, J.: Manipulating picking sequences. In: ECAI 2014. Frontiers in Artificial Intelligence and Applications, vol. 263, pp. 141–146 (2014)

    Google Scholar 

  11. Brams, S.J., King, D.L.: Efficient fair division: help the worst off or avoid Envy? Rationality Soc. 17(4), 387–421 (2005)

    Article  Google Scholar 

  12. Brams, S.J., Straffin, P.D.: Prisoners’ dilemma and professional sports drafts. Amer. Math. Monthly 86(2), 80–88 (1979)

    MathSciNet  MATH  Google Scholar 

  13. Cechlárová, K., Eirinakis, P., Fleiner, T., Magos, D., Manlove, D., Mourtos, I., Oceláková, E., Rastegari, B.: Pareto optimal matchings in many-to-many markets with ties. Theor. Comput. Syst. 59(4), 700–721 (2016)

    Article  MathSciNet  Google Scholar 

  14. Cechlárová, K., Eirinakis, P., Fleiner, T., Magos, D., Mourtos, I., Potpinková, E.: Pareto optimality in many-to-many matching problems. Discrete Optim. 14, 160–169 (2014)

    Article  MathSciNet  Google Scholar 

  15. Cechlárová, K., Fleiner, T.: Pareto optimal matchings with lower quotas. Math. Social Sci. 88, 3–10 (2017)

    Article  MathSciNet  Google Scholar 

  16. Cechlárová, K., Fleiner, T., Schlotter, I.: Possible and necessary allocations under serial dictatorship with incomplete preference lists. Technical report TR-2017-02, Egerváry Research Group, Budapest (2017)

    Google Scholar 

  17. Cechlárová, K., Klaus, B., Manlove, D.F.: Pareto optimal matchings of students to courses in the presence of prerequisites. In: COMSOC 2016 (2016). https://www.irit.fr/COMSOC-2016/proceedings/CechlarovaEtAlCOMSOC2016.pdf

  18. Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. W.H. Freeman & Co., New York (1979)

    MATH  Google Scholar 

  19. Goto, M., Iwasaki, A., Kawasaki, Y., Kurata, R., Yasuda, Y., Yokoo, M.: Strategyproof matching with regional minimum and maximum quotas. Artif. Intell. 235, 40–57 (2016)

    Article  MathSciNet  Google Scholar 

  20. Gourvès, L., Martinhon, C.A., Monnot, J.: Object allocation problem under constraints. In: COMSOC 2016 (2016). https://www.irit.fr/COMSOC-2016/proceedings/GourvesEtAlCOMSOC2016.pdf

  21. Kamiyama, N.: A note on the serial dictatorship with project closures. Oper. Res. Lett. 41(5), 559–561 (2013)

    Article  MathSciNet  Google Scholar 

  22. Krysta, P., Manlove, D., Rastegari, B., Zhang, J.: Size versus truthfulness in the house allocation problem. In: EC 2014, pp. 453–470 (2014)

    Google Scholar 

  23. Manea, M.: Serial dictatorship and Pareto optimality. Games Econ. Behav. 61(2), 316–330 (2007)

    Article  MathSciNet  Google Scholar 

  24. Pathak, P.A., Sönmez, T.: School admissions reform in Chicago and England: Comparing mechanisms by their vulnerability to manipulation. Am. Econ. Rev. 103(1), 80–106 (2013)

    Article  Google Scholar 

  25. Saban, D., Sethuraman, J.: The complexity of computing the random priority allocation matrix. Math. OR 40(4), 1005–1014 (2015)

    Article  MathSciNet  Google Scholar 

  26. Sönmez, T., Switzer, T.B.: Matching with (branch-of-choice) contracts at the United States Military Academy. Econometrica 81(2), 451–488 (2013)

    Article  MathSciNet  Google Scholar 

  27. Svensson, L.-G.: Queue allocation of indivisible goods. Soc. Choice Welfare 11(4), 323–330 (1994)

    Article  Google Scholar 

  28. Zhu, M.: College admissions in China: a mechanism design perspective. China Econ. Rev. 30, 618–631 (2014)

    Article  Google Scholar 

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Correspondence to Katarína Cechlárová or Ildikó Schlotter .

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Cechlárová, K., Fleiner, T., Schlotter, I. (2017). Possible and Necessary Allocations Under Serial Dictatorship with Incomplete Preference Lists. In: Rothe, J. (eds) Algorithmic Decision Theory. ADT 2017. Lecture Notes in Computer Science(), vol 10576. Springer, Cham. https://doi.org/10.1007/978-3-319-67504-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-67504-6_21

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