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Complexity of Bribery and Control for Uniform Premise-Based Quota Rules Under Various Preference Types

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Algorithmic Decision Theory (ADT 2015)

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Abstract

Manipulation of judgment aggregation procedures has first been studied by List [14] and Dietrich and List [8], and Endriss et al. [9] were the first to study it from a computational perspective. Baumeister et al. [2, 3, 6] introduced the concepts of bribery and control in judgment aggregation and studied their algorithmic and complexity-theoretic properties. However, their results are restricted to Hamming-distance-respecting preferences and their results on bribery apply to the premise-based procedure only. We extend these results to more general preference notions, including closeness-respecting and top-respecting preferences that are due to Dietrich and List and have been applied to manipulation in judgment aggregation by Baumeister et al. [4, 5]. In addition, our results apply to uniform premise-based quota rules that generalize the premise-based procedure.

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Notes

  1. 1.

    There are also irresolute judgment aggregation procedures (i.e., procedures that may output more than one collective judgment set), such as the distance-based procedures introduced by Pigozzi [17] and Miller and Osherson [15], which we won’t consider here, though.

  2. 2.

    This result is shown for the quota only.

References

  1. Bartholdi III, J., Tovey, C., Trick, M.: How hard is it to control an election? Math. Comput. Model. 16(8/9), 27–40 (1992)

    Article  MathSciNet  Google Scholar 

  2. Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J.: Bribery and control in judgment aggregation. In: Brandt, F., Faliszewski, P. (eds.) Proceedings of the 4th International Workshop on Computational Social Choice, pp. 37–48. AGH University of Science and Technology, Kraków, Poland (2012)

    Google Scholar 

  3. Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J.: Control in judgment aggregation. In: Proceedings of the 6th European Starting AI Researcher Symposium, pp. 23–34. IOS Press, August 2012

    Google Scholar 

  4. Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J.: Computational aspects of manipulation and control in judgment aggregation. In: Perny, P., Pirlot, M., Tsoukiàs, A. (eds.) ADT 2013. LNCS, vol. 8176, pp. 71–85. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  5. Baumeister, D., Erdélyi, G., Erdélyi, O., Rothe, J.: Complexity of manipulation and bribery in judgment aggregation for uniform premise-based quota rules. Math. Soc. Sci. 76, 19–30 (2015)

    Article  MathSciNet  Google Scholar 

  6. Baumeister, D., Erdélyi, G., Rothe, J.: How hard is it to bribe the judges? a study of the complexity of bribery in judgment aggregation. In: Brafman, R. (ed.) ADT 2011. LNCS, vol. 6992, pp. 1–15. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  7. Dietrich, F., List, C.: Judgment aggregation by quota rules: majority voting generalized. J. Theor. Politics 19(4), 391–424 (2007)

    Article  Google Scholar 

  8. Dietrich, F., List, C.: Strategy-proof judgment aggregation. Econ. Philos. 23(3), 269–300 (2007)

    Article  Google Scholar 

  9. Endriss, U., Grandi, U., Porello, D.: Complexity of judgment aggregation. J. Artif. Intell. Res. 45, 481–514 (2012)

    Article  MathSciNet  Google Scholar 

  10. Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L.: How hard is bribery in elections? J. Artif. Intell. Res. 35, 485–532 (2009)

    Article  MathSciNet  Google Scholar 

  11. Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L., Rothe, J.: Llull and Copeland voting computationally resist bribery and constructive control. J. Artif. Intell. Res. 35, 275–341 (2009)

    Article  MathSciNet  Google Scholar 

  12. Faliszewski, P., Rothe, J.: Control and bribery in voting. In: Brandt, F., Conitzer, V., Endriss, U., Lang, J., Procaccia, A. (eds.) Handbook of Computational Social Choice, chapter 7. Cambridge University Press (2015, to appear)

    Google Scholar 

  13. Hemaspaandra, E., Hemaspaandra, L., Rothe, J.: Anyone but him: the complexity of precluding an alternative. Artif. Intell. 171(5–6), 255–285 (2007)

    Article  MathSciNet  Google Scholar 

  14. List, C.: The discursive dilemma and public reason. Ethics 116(2), 362–402 (2006)

    Article  Google Scholar 

  15. Miller, M., Osherson, D.: Methods for distance-based judgment aggregation. Soc. Choice Welf. 32(4), 575–601 (2009)

    Article  MathSciNet  Google Scholar 

  16. Papadimitriou, C.: Computational Complexity, 2nd edn. Addison-Wesley, New York (1995)

    MATH  Google Scholar 

  17. Pigozzi, G.: Belief merging and the discursive dilemma: an argument-based account of paradoxes of judgment. Synthese 152(2), 285–298 (2006)

    Article  MathSciNet  Google Scholar 

  18. Rothe, J.: Complexity Theory and Cryptology: An Introduction to Cryptocomplexity. EATCS Texts in Theoretical Computer Science. Springer, Heidelberg (2005)

    MATH  Google Scholar 

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Acknowledgments

We thank the anonymous reviewers for their helpful comments. This work was supported in part by a grant for gender-sensitive universities from the NRW Ministry for Innovation, Science, and Research and by DFG grant RO 1202/15-1.

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Correspondence to Ann-Kathrin Selker .

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Baumeister, D., Rothe, J., Selker, AK. (2015). Complexity of Bribery and Control for Uniform Premise-Based Quota Rules Under Various Preference Types. In: Walsh, T. (eds) Algorithmic Decision Theory. ADT 2015. Lecture Notes in Computer Science(), vol 9346. Springer, Cham. https://doi.org/10.1007/978-3-319-23114-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-23114-3_26

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