Skip to main content

Obtaining a Proportional Allocation by Deleting Items

  • Conference paper
  • First Online:
Algorithmic Decision Theory (ADT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10576))

Included in the following conference series:

  • 847 Accesses

Abstract

We consider the following control problem on fair allocation of indivisible goods. Given a set I of items and a set of agents, each having strict linear preference over the items, we ask for a minimum subset of the items whose deletion guarantees the existence of a proportional allocation in the remaining instance; we call this problem Proportionality by Item Deletion (PID). Our main result is a polynomial-time algorithm that solves PID for three agents. By contrast, we prove that PID is computationally intractable when the number of agents is unbounded, even if the number k of item deletions allowed is small, since the problem turns out to be \(\mathsf {W}[3]\)-hard with respect to the parameter k. Additionally, we provide some tight lower and upper bounds on the complexity of PID when regarded as a function of |I| and k.

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 EPUB and 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

Notes

  1. 1.

    For a complete proof of the correctness of their algorithm, see also [2].

  2. 2.

    We present Theorem 1 so that we can re-use its proof for Theorems 3 and 4.

  3. 3.

    Here, we use an effective variant of “little o” (see, e.g. [7, Definition 3.22]).

References

  1. Aziz, H., Gaspers, S., Mackenzie, S., Walsh, T.: Fair assignment of indivisible objects under ordinal preferences. Artif. Intell. 227, 71–92 (2015)

    Article  MathSciNet  Google Scholar 

  2. Aziz, H., Schlotter, I., Walsh, T.: Control of fair division. In: IJCAI 2016, Proceedings of the 25th International Joint Conference on Artificial Intelligence, pp. 67–73 (2016)

    Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  4. Brams, S.J., Kilgour, D.M., Klamler, C.: Two-person fair division of indivisible items: An efficient, envy-free algorithm. Not. AMS 61(2), 130–141 (2014)

    MathSciNet  MATH  Google Scholar 

  5. Chen, J., Huang, X., Kanj, I.A., Xia, G.: Strong computational lower bounds via parameterized complexity. J. Comput. Syst. Sci. 72(8), 1346–1367 (2006)

    Article  MathSciNet  Google Scholar 

  6. Downey, R.G., Fellows, M.R.: Fundamentals of Parameterized Complexity. Texts in Computer Science. Springer, London (2013)

    Book  Google Scholar 

  7. Flum, J., Grohe, M.: Parameterized Complexity Theory. Texts in Theoretical Computer Science. An EATCS Series, vol. XIV. Springer, Berlin (2006)

    MATH  Google Scholar 

  8. Impagliazzo, R., Paturi, R., Zane, F.: Which problems have strongly exponential complexity? J. Comput. Syst. Sci. 63(4), 512–530 (2001)

    Article  MathSciNet  Google Scholar 

  9. Lipton, R.J., Markakis, E., Mossel, E., Saberi, A.: On approximately fair allocations of indivisible goods. In: EC 2004, Proceedings of the 5th ACM Conference on Electronic Commerce, pp. 125–131 (2004)

    Google Scholar 

  10. Mucha, M., Sankowski, P.: Maximum matchings via gaussian elimination. In: FOCS 2014, Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science, pp. 248–255 (2004)

    Google Scholar 

  11. Nguyen, T., Vohra, R.: Near feasible stable matchings. In: EC 2015, Proceedings of the Sixteenth ACM Conference on Economics and Computation, pp. 41–42 (2015)

    Google Scholar 

  12. Schlotter, I., Dorn, B., de Haan, R.: Obtaining a proportional allocation by deleting items. CoRR, abs/1705.11060 (2017)

    Google Scholar 

  13. Segal-Halevi, E., Hassidim, A., Aumann, Y.: Waste makes haste: Bounded time protocols for envy-free cake cutting with free disposal. In: AAMAS 2014, Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems, pp. 901–908 (2015)

    Google Scholar 

  14. Thulasiraman, K., Arumugam, S., Brandstädt, A., Nishizeki, T.: Handbook of Graph Theory, Combinatorial Optimization, and Algorithms. Chapman & Hall/CRC Computer and Information Science Series. CRC Press, Boca Raton (2015)

    MATH  Google Scholar 

Download references

Acknowledgments

This work has been partly supported by COST Action IC1205 on Computational Social Choice, and has been supported by OTKA grants K108383 and K108947 and Austrian Science Fund grant J4047.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ildikó Schlotter .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Dorn, B., de Haan, R., Schlotter, I. (2017). Obtaining a Proportional Allocation by Deleting Items. 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_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67504-6_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67503-9

  • Online ISBN: 978-3-319-67504-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics