Skip to main content

Truthful Approximations to Range Voting

  • Conference paper
Web and Internet Economics (WINE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8877))

Included in the following conference series:

Abstract

We consider the fundamental mechanism design problem of approximate social welfare maximization under general cardinal preferences on a finite number of alternatives and without money. The well-known range voting scheme can be thought of as a non-truthful mechanism for exact social welfare maximization in this setting. With m being the number of alternatives, we exhibit a randomized truthful-in-expectation ordinal mechanism with approximation ratio Ω(m − 3/4). On the other hand, we show that for sufficiently many agents, the approximation ratio of any truthful-in-expectation ordinal mechanism is O(m − 2/3). We supplement our results with an upper bound for any truthful-in-expectation mechanism. We get tighter bounds for the natural special case of m = 3, and in that case furthermore obtain separation results concerning the approximation ratios achievable by natural restricted classes of truthful-in-expectation mechanisms. In particular, we show that the best cardinal truthful mechanism strictly outperforms all ordinal ones.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barbera, S.: Nice decision schemes. In: Leinfellner, Gottinger (eds.) Decision Theory and Social Ethics. Reidel (1978)

    Google Scholar 

  2. Barbera, S.: Majority and positional voting in a probabilistic framework. The Review of Economic Studies 46(2), 379–389 (1979)

    Article  MATH  MathSciNet  Google Scholar 

  3. Barbera, S.: Strategy-proof social choice. In: Arrow, K.J., Sen, A.K., Suzumura, K. (eds.) Handbook of Social Choice and Welfare, vol. 2, ch. 25. North-Holland, Amsterdam (2010)

    Google Scholar 

  4. Barbera, S., Bogomolnaia, A., van der Stel, H.: Strategy-proof probabilistic rules for expected utility maximizers. Mathematical Social Sciences 35(2), 89–103 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  5. Boutilier, C., Caragiannis, I., Haber, S., Lu, T., Procaccia, A.D., Sheffet, O.: Optimal social choice functions: A utilitarian view. In: Proceedings of the 13th ACM Conference on Electronic Commerce, pp. 197–214. ACM (2012)

    Google Scholar 

  6. Feige, U., Tennenholtz, M.: Responsive lotteries. In: Kontogiannis, S., Koutsoupias, E., Spirakis, P.G. (eds.) SAGT 2010. LNCS, vol. 6386, pp. 150–161. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Feldman, M., Lai, K., Zhang, L.: The proportional-share allocation market for computational resources. IEEE Transactions on Parallel and Distributed Systems 20(8), 1075–1088 (2009)

    Article  Google Scholar 

  8. Filos-Ratsikas, A., Frederiksen, S.K.S., Zhang, J.: Social welfare in one-sided matchings: Random priority and beyond. In: Lavi, R. (ed.) SAGT 2014. LNCS, vol. 8768, pp. 1–12. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  9. Freixas, X.: A cardinal approach to straightforward probabilistic mechanisms. Journal of Economic Theory 34(2), 227–251 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  10. Gibbard, A.: Manipulation of voting schemes: A general result. Econometrica 41(4), 587–601 (1973)

    Article  MATH  MathSciNet  Google Scholar 

  11. Gibbard, A.: Manipulation of schemes that mix voting with chance. Econometrica 45(3), 665–681 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  12. Gibbard, A.: Straightforwardness of game forms with lotteries as outcomes. Econometrica 46(3), 595–614 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  13. Guo, M., Conitzer, V.: Strategy-proof allocation of multiple items between two agents without payments or priors. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 881–888 (2010)

    Google Scholar 

  14. Lee, A.S.: Maximization of relative social welfare on truthful voting scheme with cardinal preferences. Working Manuscript (2014)

    Google Scholar 

  15. Nisa, N.: Introduction to Mechanism Design (for Computer Scientists). In: Algorithmic Game Theory, ch. 9, pp. 209–241. Cambridge University Press, New York (2007)

    Google Scholar 

  16. Nisan, N., Ronen, A.: Algorithmic mechanism design (extended abstract). In: Proceedings of the Thirty-first Annual ACM Symposium on Theory of Computing, pp. 129–140. ACM (1999)

    Google Scholar 

  17. Procaccia, A.D.: Can approximation circumvent Gibbard-Satterthwaite? In: AAAI 2010, Proceedings. AAAI Press (2010)

    Google Scholar 

  18. Procaccia, A.D., Tennenholtz, M.: Approximate mechanism design without money. In: Proceedings of the 10th ACM Conference on Electronic Commerce, pp. 177–186. ACM (2009)

    Google Scholar 

  19. Roberts, K.: The characterization of implementable choice rules. In: Laffont, J.-J. (ed.) Aggregation and Revelation of Preferences. Papers presented at the 1st European Summer Workshop of the Econometric Society, pp. 321–349. North-Holland (1979)

    Google Scholar 

  20. Satterthwaite, M.A.: Strategy-proofness and Arrow’s conditions: Existence and correspondence theorems for voting procedures and social welfare functions. Journal of Economic Theory 10(2), 187–217 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  21. Yao, A.C.-C.: Probabilistic computations: Toward a unified measure of complexity. In: 18th Annual Symposium on Foundations of Computer Science, pp. 222–227. IEEE (1977)

    Google Scholar 

  22. Zeckhauser, R.: Voting systems, honest preferences and Pareto optimality. The American Political Science Review 67, 934–946 (1973)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Filos-Ratsikas, A., Miltersen, P.B. (2014). Truthful Approximations to Range Voting. In: Liu, TY., Qi, Q., Ye, Y. (eds) Web and Internet Economics. WINE 2014. Lecture Notes in Computer Science, vol 8877. Springer, Cham. https://doi.org/10.1007/978-3-319-13129-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13129-0_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13128-3

  • Online ISBN: 978-3-319-13129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics