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Weighted Proportional Allocations of Indivisible Goods and Chores: Insights via Matchings (2312.15479v2)

Published 24 Dec 2023 in cs.GT and cs.DS

Abstract: We study the fair allocation of indivisible goods and chores under ordinal valuations for agents with unequal entitlements. We show the existence and polynomial time computation of weighted necessarily proportional up to one item (WSD-PROP1) allocations for both goods and chores, by reducing it to a problem of finding perfect matchings in a bipartite graph. We give a complete characterization of these allocations as corner points of a perfect matching polytope. Using this polytope, we can optimize over all allocations to find a min-cost WSD-PROP1 allocation of goods or most efficient WSD-PROP1 allocation of chores. Additionally, we show the existence and computation of sequencible (SEQ) WSD-PROP1 allocations by using rank-maximal perfect matching algorithms and show incompatibility of Pareto optimality under all valuations and WSD-PROP1. We also consider the Best-of-Both-Worlds (BoBW) fairness notion. By using our characterization, we show the existence and polynomial time computation of Ex-ante envy free (WSD-EF) and Ex-post WSD-PROP1 allocations under ordinal valuations for both chores and goods.

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References (44)
  1. Fair division of indivisible goods: A survey. arXiv preprint arXiv:2202.07551 (2022).
  2. Haris Aziz. 2020. Simultaneously Achieving Ex-ante and Ex-post Fairness. In Web and Internet Economics, Xujin Chen, Nikolai Gravin, Martin Hoefer, and Ruta Mehta (Eds.). Springer International Publishing, Cham, 341–355.
  3. Fair allocation of indivisible goods and chores. Autonomous Agents and Multi-Agent Systems 36 (2022), 1–21.
  4. Best of Both Worlds Fairness under Entitlements. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (London, United Kingdom) (AAMAS ’23). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 941–948.
  5. Fair Assignment of Indivisible Objects under Ordinal Preferences. Artif. Intell. 227, C (oct 2015), 71–92. https://doi.org/10.1016/j.artint.2015.06.002
  6. A polynomial-time algorithm for computing a Pareto optimal and almost proportional allocation. Operations Research Letters 48, 5 (2020), 573–578. https://doi.org/10.1016/j.orl.2020.07.005
  7. Best-of-Both-Worlds Fair-Share Allocations. arXiv:2102.04909 [cs.GT]
  8. Siddharth Barman and Sanath Kumar Krishnamurthy. 2019. On the Proximity of Markets with Integral Equilibria. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence (Honolulu, Hawaii, USA) (AAAI’19/IAAI’19/EAAI’19). AAAI Press, Article 215, 8 pages. https://doi.org/10.1609/aaai.v33i01.33011748
  9. Ivona Bezáková and Varsha Dani. 2005. Allocating indivisible goods. ACM SIGecom Exchanges 5, 3 (2005), 11–18.
  10. On approximate envy-freeness for indivisible chores and mixed resources. arXiv preprint arXiv:2012.06788 (2020).
  11. Garrett Birkhoff. 1946. Three observations on linear algebra. Univ. Nac. Tucumán. Revista A. 5 (1946), 147–151.
  12. Anna Bogomolnaia and Hervé Moulin. 2001. A New Solution to the Random Assignment Problem. Journal of Economic Theory 100, 2 (2001), 295–328. https://doi.org/10.1006/jeth.2000.2710
  13. Fair division under ordinal preferences: Computing envy-free allocations of indivisible goods.. In ECAI. 387–392.
  14. Sylvain Bouveret and Michel Lemaître. 2014. Characterizing Conflicts in Fair Division of Indivisible Goods Using a Scale of Criteria. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (Paris, France) (AAMAS ’14). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1321–1328.
  15. Steven J. Brams and Todd R. Kaplan. 2002. Dividing the Indivisible. Journal of Theoretical Politics 16 (2002), 143 – 173. https://api.semanticscholar.org/CorpusID:154854134
  16. Simina Brânzei and Fedor Sandomirskiy. 2019. Algorithms for Competitive Division of Chores. CoRR abs/1907.01766 (2019). arXiv:1907.01766 http://arxiv.org/abs/1907.01766
  17. Eric Budish. 2011. The combinatorial assignment problem: Approximate competitive equilibrium from equal incomes. Journal of Political Economy 119, 6 (2011), 1061–1103.
  18. Weighted envy-freeness in indivisible item allocation. ACM Transactions on Economics and Computation (TEAC) 9, 3 (2021), 1–39.
  19. Fair Public Decision Making. In Proceedings of the 2017 ACM Conference on Economics and Computation (Cambridge, Massachusetts, USA) (EC ’17). Association for Computing Machinery, New York, NY, USA, 629–646. https://doi.org/10.1145/3033274.3085125
  20. Duncan Karl Foley. 1966. Resource allocation and the public sector. Yale University, Michigan.
  21. Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation. In Proceedings of the 21st ACM Conference on Economics and Computation (Virtual Event, Hungary) (EC ’20). Association for Computing Machinery, New York, NY, USA, 21–22. https://doi.org/10.1145/3391403.3399537
  22. Peter Gardenfors. 1973. Assignment problem based on ordinal preferences. Management Science 20, 3 (1973), 331–340.
  23. Matching for the Israeli: Handling Rich Diversity Requirements. In Proceedings of the 2019 ACM Conference on Economics and Computation, EC 2019, Phoenix, AZ, USA, June 24-28, 2019, Anna Karlin, Nicole Immorlica, and Ramesh Johari (Eds.). ACM, 321.
  24. P. Hall. 1987. On Representatives of Subsets. Birkhäuser Boston, Boston, MA, 58–62. https://doi.org/10.1007/978-0-8176-4842-8_4
  25. Best of Both Worlds: Agents with Entitlements. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (London, United Kingdom) (AAMAS ’23). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 564–572.
  26. John E. Hopcroft and Richard M. Karp. 1973. An n5/2superscript𝑛52n^{5/2}italic_n start_POSTSUPERSCRIPT 5 / 2 end_POSTSUPERSCRIPT Algorithm for Maximum Matchings in Bipartite Graphs. SIAM J. Comput. 2, 4 (1973), 225–231. https://doi.org/10.1137/0202019 arXiv:https://doi.org/10.1137/0202019
  27. Robert W Irving. 2003. Greedy matchings. University of Glasgow, Computing Science Department Research Report, TR-2003-136 (2003).
  28. Rank-maximal matchings. ACM Transactions on Algorithms (TALG) 2, 4 (2006), 602–610.
  29. On an Algorithm of G. Birkhoff Concerning Doubly Stochastic Matrices. Canad. Math. Bull. 3 (1960), 237 – 242. https://api.semanticscholar.org/CorpusID:124014325
  30. N. Karmarkar. 1984. A New Polynomial-Time Algorithm for Linear Programming. In Proceedings of the Sixteenth Annual ACM Symposium on Theory of Computing (STOC ’84). Association for Computing Machinery, New York, NY, USA, 302–311. https://doi.org/10.1145/800057.808695
  31. L.G. Khachiyan. 1980. Polynomial algorithms in linear programming. U. S. S. R. Comput. Math. and Math. Phys. 20, 1 (1980), 53–72. https://doi.org/10.1016/0041-5553(80)90061-0
  32. Almost (Weighted) Proportional Allocations for Indivisible Chores. In Proceedings of the ACM Web Conference 2022. 122–131.
  33. On Approximately Fair Allocations of Indivisible Goods. In Proceedings of the 5th ACM Conference on Electronic Commerce (New York, NY, USA) (EC ’04). Association for Computing Machinery, New York, NY, USA, 125–131. https://doi.org/10.1145/988772.988792
  34. L. Lovász and M.D. Plummer. 2009. Matching Theory. AMS Chelsea Pub., American Mathematical Society, USA.
  35. David Manlove. 2013. Algorithmics of matching under preferences. Vol. 2. World Scientific, Glasgow, UK.
  36. Dimitrios Michail. 2007. Reducing rank-maximal to maximum weight matching. Theoretical Computer Science 389, 1-2 (2007), 125–132.
  37. A survey of approximability and inapproximability results for social welfare optimization in multiagent resource allocation. Annals of Mathematics and Artificial Intelligence 68, 1-3 (2013), 65–90.
  38. Bipartite Matchings with Group Fairness and Individual Fairness Constraints. CoRR abs/2208.09951 (2022).
  39. Kirk Pruhs and Gerhard J. Woeginger. 2012. Divorcing Made Easy. In Fun with Algorithms, Evangelos Kranakis, Danny Krizanc, and Flaminia Luccio (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 305–314.
  40. Matchings with Group Fairness Constraints: Online and Offline Algorithms. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, Zhi-Hua Zhou (Ed.). ijcai.org, 377–383.
  41. Tayfun Sönmez and M. Bumin Yenmez. 2022. Affirmative Action in India via Vertical, Horizontal, and Overlapping Reservations. Econometrica 90, 3 (2022), 1143–1176. https://doi.org/10.3982/ECTA17788 arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.3982/ECTA17788
  42. John von Neumann. 1953. 1. A Certain Zero-sum Two-person Game Equivalent to the Optimal Assignment Problem. Princeton University Press, Princeton, 5–12. https://doi.org/10.1515/9781400881970-002
  43. Leslie Blackett Wilson. 1977. Assignment using choice lists. Journal of the Operational Research Society 28 (1977), 569–578.
  44. Weighted EF1 Allocations for Indivisible Chores. In Proceedings of the 24th ACM Conference on Economics and Computation (London, United Kingdom) (EC ’23). Association for Computing Machinery, New York, NY, USA, 1155. https://doi.org/10.1145/3580507.3597763
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