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Fair division among groups

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22: 698:. Note that, with binary valuations, EF1 is equivalent to EFX, but weaker than EFX0. A unanimously-EFX0 allocation might not exist if the group sizes are (1,2); this is in contrast to the situation with individual agents, that is, group sizes (1,1), where an EFX0 allocation always exists even for monotone valuations. 1299:
mechanism orders agents uniformly at random and awards each their request as long as there is available capacity. This common mechanism might yield arbitrarily unfair and inefficient outcomes. The Weighted Individual Lottery is an alternative mechanism in which the processing order is biased to favor
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requires that, in each group, a certain fraction of the agents agree that the division is fair; preferredly this fraction should be at least 1/2. A practical situation in which such requirement may be useful is when two democratic countries agree to divide a certain disputed land among them, and the
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of agents, rather than among individual agents. After the division, all members in each group consume the same share, but they may have different preferences; therefore, different members in the same group might disagree on whether the allocation is fair or not. Some examples of group fair division
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A practical application of fair division among groups is dividing tickets to parks or other experiences with limited capacity. Often, tickets are divided at random. When people arrive on their own, a simple uniformly-random lottery among all candidates is a fair solution. But people often come in
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for any number of groups. Unanimous-envy-freeness is compatible with Pareto-efficiency for 2 groups, but not for 3 or more groups. 1/2-democratic envy-freeness is compatible with Pareto-efficiency for 2 groups, but not for 5 or more groups. It is open whether they are compatible for 3 or 4
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Some 30 people want to use the local basketball court. Each game involves 10 players with different preferences regarding which time is better. It is required to partition the time of day into 3 parts and partition the players into 3 groups and assign a group to each
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in the paper) may not exist when the cost-sharing policy is equal or proportional, but always exists with free cost-sharing policy. Moreover, a unanimously-envy-free allocation with free cost-sharing that maximizes the total rent can be found in polynomial time.
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is a resource that is consumed simultaneously by all members in a single group ("club"), but is excluded from members of other groups. In the group fair division problem, all allocated goods are club goods in the group they are allocated
556:-1) or (2,2) or (2,3). The positive results are attainable by polynomial-time algorithms. In all other cases, there are instances in which at least one agent with a positive MMS gets a zero value in all allocations. 233:
assigns to each group a certain aggregate function, such as: sum, product, arithmetic mean or geometric mean. It requires that the allocation be considered fair according to this aggregate function. For example:
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is another important criterion that is required in addition to fairness. It is defined in the usual way: no allocation is better for at least one individual agent and at least as good for all individual agents.
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Two neighboring countries want to divide a disputed region among them. The citizens in each country differ on which parts of the region are more important. This is a common obstacle to resolving international
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mechanism orders groups uniformly at random, and processes them sequentially as long as there is available capacity. This natural mechanism might be unfair and inefficient; there are some better alternatives.
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In all the above examples, the groups are fixed in advance. In some settings, the groups can be determined ad-hoc, that is, people can be grouped based on their preferences. An example of such a setting is:
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is true, then a unanimously-EF1 balanced allocation exists also for group sizes (1,4), (2,3) and arbitrary monotone valuations. A unanimously-EFX allocation might not exist if the group sizes are (1,2).
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A partnership is dissolved, and its assets should be divided among the partners. The partners are firms; each firm has several stockholders, who might disagree regarding which asset is more important.
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The university management wants to allocate some meeting-rooms among its departments. In each department there are several faculty members, with differing opinions about which rooms are better.
1226:. If envy-freeness is relaxed to proportionality or maximin-share, then similar guarantees can be attained using a polynomial-time algorithm. For groups with additive valuations, a variant of 138:
Several siblings inherited some houses from their parents and have to divide them. Each sibling has a family, whose members may have different opinions regarding which house is better.
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Unanimous-fairness implies both aggregate-fairness and democratic-fairness. Aggregate-fairness and democratic fairness are independent - none of them implies the other.
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families or groups of friends, who want to enter together. This leads to various considerations in how exactly to design the lottery. The following results are known:
361:>2 groups, connected 1/2-democratic fair allocations might not exist, but the number of required components is smaller than for unanimous-proportional allocations. 1203:
For two groups with general monotone valuations, there always exists a 1/2-democratic envy-free-except-1 allocation, and it can be found by an efficient algorithm.
567:-1 groups contain a single agent; in contrast, if all groups contain 2 agents and one group contains at least 5 agents, then no positive approximation is possible. 1185: 586:, a unanimously-EF1 allocation exists if the group sizes are (1,5) or (2,3), but might not exist if the group sizes are (1,6) or (2,4) or (3,3). In general, an EF 1021:(with any number of agents), there always exists a 1/2-democratic envy-free-except-1 allocation. The constant 1/2 is tight even if we allow envy-free-except- 39: 353:: 1/2-democratic proportional and 1/2-democratic envy-free allocations always exist. With two groups, there exist such allocations that are also 1924: 1878: 253:
if, for each group, the product of agents' values of the group share is at least the product of their values of the share of any other group.
768: 86: 58: 552:, a positive multiplicative approximation to MMS-fairness can be guaranteed if-and-only-if the numbers of agents in the groups are (1, 845: 343:
connected components (that is, each group may get a connected piece). However, they cannot be found using a finite algorithm in the
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for more information). It can be proved that unanimous-proportionality is equivalent to consensus division in the following sense:
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Ghodsi, Mohammad; Latifian, Mohamad; Mohammadi, Arman; Moradian, Sadra; Seddighin, Masoud (2018). "Rent Division Among Groups".
735:, with any number of agents with arbitrary monotone valuations, there exists a unanimously-EF1 allocation. There also exists a 376:
The division problem is easier when the agents can be grouped ad-hoc based on their preferences. In this case, there exists a
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allocation can be improved from 1/2 to 3/5; it is an open question whether the upper bound of 3/4 can always be attained.
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Manurangsi, Pasin; Suksompong, Warut (2022). "Almost envy-freeness for groups: Improved bounds via discrepancy theory".
302:: Unanimous-proportional and unanimous-envy-free allocations always exist. However, they may be disconnected: at least 54: 1227: 1099: 513:-1) cuts, and that finding an approximate unanimous-proportional division is in PPA. The number of cuts is tight for 1361:
is a subset of items that is considered, by all people in a certain group, to be at least as good as its complement.
1327:. Its properties are maximal in the sense that it is impossible to improve one property without harming another one. 1033:. A different fairness notion, that can be guaranteed to more than 1/2 of the agents in each group, is the ordinal 1303:
The Iterative Probability Maximization algorithm finds a lottery that maximizes the smallest utility (based on the
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or different moods. Such people can be represented as a group of agents, each of whom has a different preference.
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Segal-Halevi, Erel; Suksompong, Warut (2 January 2021). "How to Cut a Cake Fairly: A Generalization to Groups".
329:) components are always sufficient for a unanimous-envy-free allocation. It is an open question whether or not 1771:
Manurangsi, Pasin; Suksompong, Warut (1 September 2017). "Asymptotic existence of fair divisions for groups".
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if every agent in every group values his/her group's share at least as much as the share of any other group.
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Segal-Halevi, Erel; Suksompong, Warut (December 2019). "Democratic fair allocation of indivisible goods".
1553: 1411: 724:), a unanimously-EF1 balanced allocation exists if the group sizes are (1,2). If a certain conjecture on 935: 716: 183: 79: 1456: 941: 200:
requires that the allocation be considered fair in the eyes of all agents in all groups. For example:
1210:-democratic envy-free-except-1 allocation; with general monotone valuations, there always exists a 1/ 531: 156: 1106:
inside each group. The upper bound on the fraction of agents that can be guaranteed 1 of their best
1337: 1312: 1044: 750:, with any number of agents with additive valuations, there exists a unanimously-PROP*1 allocation. 191: 1681:
Plaut, Benjamin; Roughgarden, Tim (January 2020). "Almost Envy-Freeness with General Valuations".
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families. In particular, it implies that exact unanimous-proportional division can be done with (
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if, for each group, the arithmetic mean of the agents' values to the group share is at least 1/
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allocation of the goods. The EF1 cannot be strengthened to EFX even with additive valuations.
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to decide if a given instance admits an allocation that gives each agent a positive utility.
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pieces implies a solution to unanimous-proportional division among n+1 agents grouped into
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in the paper) always exists when the cost-sharing policy is equal or proportional or free.
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pieces. In particular, it implies that unanimous-proportional division requires at least
339:: Average-proportional and average-envy-free allocations always exist, and require only 1295:
If agents may request multiple tickets without identifying members of their group, the
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With ad-hoc groups, unanimous envy-freeness exists even with equal cost-sharing policy.
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groups contain the same number of agents, and their valuations are drawn at random, an
431: 390: 160: 478:-1 cuts is FIXP-hard, and finding an approximate unanimous-proportional division with 1988: 1975: 1934: 1847: 1794: 1757: 1712: 1667: 1617: 1594:
Suksompong, Warut (1 March 2018). "Approximate maximin shares for groups of agents".
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Kyropoulou, Maria; Suksompong, Warut; Voudouris, Alexandros A. (12 November 2020).
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agents with smaller requests. It is approximately fair and approximately efficient.
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MMS-fair allocation. These allocations can be found efficiently using a variant of
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For three or more groups with binary additive valuations, there always exists a 1/
325:) components are always sufficient for a unanimous-proportional allocation, and O( 1870: 1839: 976:, and can be attained by a greedy algorithm that maximizes the sum of utilities. 194:. There are several ways to extend these criteria to fair division among groups. 1315:, and attains a 1/2-factor approximation of the maximum utilization. It is also 151:
The "group of agents" may also represent different conflicting preferences of a
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agents. It says that, after each individual agent gets his private share, no
563:, a positive multiplicative approximation to MMS-fairness can be attained if 190:, judge the division from the point-of-view of a single agent, with a single 1916: 1351: 931: 380:
allocation for any number of groups and any number of agents in each group.
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Unanimous fairness is a strong requirement, and often cannot be satisfied.
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For the setting in which all group members are identified in advance, the
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Arnosti, Nick; Bonet, Carlos (2022). "Lotteries for Shared Experiences".
1247:(envy-free division of rooms and rent), the following results are known. 208:
if every agent in every group values his/her group's share as at least 1/
1865:. Lecture Notes in Computer Science. Vol. 11346. pp. 577–591. 1379: 1704: 1195: 702: 1003:, then with high probability, an envy-free allocation does not exist. 1907: 1899:
Proceedings of the 23rd ACM Conference on Economics and Computation
1830: 1785: 1740: 1695: 1608: 1521: 1473: 831:{\displaystyle O({\sqrt {n}})\geq c\geq \Omega ({\sqrt {n/k^{3}}})} 761:
groups, there always exists an allocation that is envy-free up to
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to decide if a given instance admits a unanimously-EF1 allocation.
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cuts is FIXP-hard, and finding an approximate exact division with
901:{\displaystyle O({\sqrt {n}})\geq c\geq \Omega ({\sqrt {n/k}})} 159:, people often change their preferences according to different 15: 1954:
Proceedings of the AAAI Conference on Artificial Intelligence
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components), finding a unanimous-proportional division with
367:: All three variants of proportionality are compatible with 406:
pieces such that all agents value all pieces at exactly 1/
1214:-democratic envy-free-except-2 allocation. The factor 1/ 458:
families implies a solution to consensus division among
691:{\displaystyle ({2c+1 \choose c+1},{2c+1 \choose c+1})} 446:, a solution to unanimous-proportional division among 1167: 1120: 1047: 944: 848: 771: 596: 129:
problems, in which the resources are allocated among
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Segal-Halevi, Erel; Nitzan, Shmuel (December 2019).
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Segal-Halevi, Erel; Nitzan, Shmuel (December 2019).
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of agents envies another coalition of the same size.
1641:"Almost envy-freeness in group resource allocation" 1230:
can be used to find a 1/3-democratic 1-out-of-best-
1029:. The same is true also for proportionality-except- 402:agents, and the goal is to partition the cake into 46:. Unsourced material may be challenged and removed. 1381:Resource allocation and decision making for groups 1179: 1153: 1086: 968: 900: 830: 690: 590:allocation might not exist if the group sizes are 679: 647: 635: 603: 357:, and they can be found in polynomial time. With 295:is the number of agents in all groups together). 1340:is a fairness criterion for fair division among 1455:Bade, Sophie; Segal-Halevi, Erel (2023-09-01). 838:. The same is true for proportionality up to 739:partition of the agents and a unanimously-EF1 842:items. For consensus division the bounds are 8: 1948:Arbiv, Tal; Aumann, Yonatan (28 June 2022). 994:-envy-free allocation with high probability. 384:Unanimous proportionality and exact division 1863:Combinatorial Optimization and Applications 410:. It is known that an exact division with 1965: 1906: 1829: 1784: 1739: 1694: 1607: 1520: 1472: 1166: 1142: 1133: 1119: 1069: 1060: 1046: 943: 885: 880: 855: 847: 817: 808: 803: 778: 770: 678: 646: 644: 634: 602: 600: 595: 287:, the following results are known (where 106:Learn how and when to remove this message 1370: 1110:items (a property weaker than 1-out-of- 999:If the number of goods is in less than 313:components are always sufficient. With 1950:"Fair and Truthful Giveaway Lotteries" 1239:Group fair division of items and money 1892: 1890: 493:, a solution to exact-division among 418:-1) always exists. However, even for 7: 1683:SIAM Journal on Discrete Mathematics 1502: 1500: 1450: 1448: 1405: 1403: 1401: 1399: 1187:, the lower bound for 1-out-of-best- 757:agents partitioned arbitrarily into 309:might be required. With two groups, 44:adding citations to reliable sources 572:Unanimous approximate envy-freeness 534:, the following results are known. 422:=2, finding an exact division with 1554:"Fair cake-cutting among families" 1412:"Fair cake-cutting among families" 945: 874: 797: 651: 607: 261:agreement should be approved by a 182:Common fairness criteria, such as 14: 1509:The American Mathematical Monthly 1279:Fair division of ticket lotteries 1037:approximation. For every integer 333:components are always sufficient. 1795:10.1016/j.mathsocsci.2017.05.006 1618:10.1016/j.mathsocsci.2017.09.004 1457:"Fairness for multi-self agents" 969:{\displaystyle \Omega (n\log n)} 20: 979:The results can be extended to 279:Results for divisible resources 31:needs additional citations for 1218:is tight for envy-free-except- 1148: 1121: 1081: 1048: 963: 948: 895: 877: 862: 852: 825: 800: 785: 775: 685: 597: 1: 1531:10.1080/00029890.2021.1835338 1087:{\displaystyle (1-1/2^{c-1})} 938:if the number of goods is in 526:Results for indivisible items 378:unanimous envy-free connected 291:is the number of groups, and 1871:10.1007/978-3-030-04651-4_39 1840:10.1016/j.artint.2019.103167 1773:Mathematical Social Sciences 1728:Theoretical Computer Science 1648:Theoretical Computer Science 1596:Mathematical Social Sciences 1222:allocation for any constant 1025:allocation for any constant 55:"Fair division among groups" 1461:Games and Economic Behavior 1228:round-robin item allocation 1154:{\displaystyle (1-1/2^{c})} 1100:round-robin item allocation 2016: 1573:10.1007/s00355-019-01210-9 1431:10.1007/s00355-019-01210-9 1378:Suksompong, Warut (2018). 584:binary additive valuations 454:-1)+1 agents grouped into 430:cuts is PPA-complete (see 345:Robertson–Webb query model 212:of the total value, where 119:Fair division among groups 1750:10.1016/j.tcs.2022.07.022 1660:10.1016/j.tcs.2020.07.008 1561:Social Choice and Welfare 1483:10.1016/j.geb.2023.06.004 1419:Social Choice and Welfare 1967:10.1609/aaai.v36i5.20405 517:=2 families but not for 216:is the number of groups. 206:unanimously-proportional 1917:10.1145/3490486.3538312 1818:Artificial Intelligence 1272:aggregate envy-freeness 1252:Unanimous envy-freeness 917:Unanimous envy-freeness 365:Fairness and efficiency 155:person. As observed in 1901:. pp. 1179–1180. 1181: 1155: 1088: 970: 902: 832: 692: 538:Unanimous approximate 1268:Average envy-freeness 1182: 1156: 1094:-democratic 1-out-of- 1089: 983:with different sizes. 971: 936:with high probability 920:with high probability 903: 833: 717:responsive valuations 693: 249:A division is called 238:A division is called 221:unanimously-envy-free 219:A division is called 204:A division is called 1256:strong envy-freeness 1165: 1118: 1045: 1014:For two groups with 942: 846: 769: 594: 561:three or more groups 532:fair item allocation 482:-1 cuts is PPA-hard. 307:connected components 240:average-proportional 157:behavioral economics 40:improve this article 1338:Group envy-freeness 1313:group strategyproof 1180:{\displaystyle c=2} 1018:additive valuations 1008:Democratic fairness 722:additive valuations 351:Democratic fairness 265:in both countries. 258:Democratic fairness 246:of the total value. 192:preference relation 1705:10.1137/19M124397X 1297:Individual Lottery 1243:In the context of 1177: 1151: 1084: 988:truthful mechanism 966: 934:allocation exists 910:discrepancy theory 898: 828: 688: 530:In the context of 396:consensus division 337:Aggregate fairness 300:Unanimous fairness 283:In the context of 231:Aggregate fairness 198:Unanimous fairness 1926:978-1-4503-9150-4 1880:978-3-030-04650-7 1041:, there exists a 893: 860: 823: 783: 733:two ad-hoc groups 677: 633: 369:Pareto-efficiency 285:fair cake-cutting 272:Pareto efficiency 251:product-envy-free 178:Fairness criteria 116: 115: 108: 90: 2007: 1980: 1979: 1969: 1960:(5): 4785–4792. 1945: 1939: 1938: 1910: 1894: 1885: 1884: 1858: 1852: 1851: 1833: 1813: 1807: 1806: 1788: 1768: 1762: 1761: 1743: 1723: 1717: 1716: 1698: 1689:(2): 1039–1068. 1678: 1672: 1671: 1645: 1636: 1630: 1629: 1611: 1591: 1585: 1584: 1558: 1549: 1543: 1542: 1524: 1504: 1495: 1494: 1476: 1452: 1443: 1442: 1416: 1407: 1394: 1393: 1375: 1359:Agreeable subset 1332:Related concepts 1317:Pareto-efficient 1305:egalitarian rule 1186: 1184: 1183: 1178: 1160: 1158: 1157: 1152: 1147: 1146: 1137: 1102:, with weighted 1093: 1091: 1090: 1085: 1080: 1079: 1064: 990:that attains an 986:There is also a 975: 973: 972: 967: 907: 905: 904: 899: 894: 889: 881: 861: 856: 837: 835: 834: 829: 824: 822: 821: 812: 804: 784: 779: 697: 695: 694: 689: 684: 683: 682: 676: 665: 650: 640: 639: 638: 632: 621: 606: 317:>2 groups, O( 125:) is a class of 111: 104: 100: 97: 91: 89: 48: 24: 16: 2015: 2014: 2010: 2009: 2008: 2006: 2005: 2004: 1985: 1984: 1983: 1947: 1946: 1942: 1927: 1896: 1895: 1888: 1881: 1860: 1859: 1855: 1815: 1814: 1810: 1770: 1769: 1765: 1725: 1724: 1720: 1680: 1679: 1675: 1643: 1638: 1637: 1633: 1593: 1592: 1588: 1556: 1551: 1550: 1546: 1506: 1505: 1498: 1454: 1453: 1446: 1414: 1409: 1408: 1397: 1377: 1376: 1372: 1368: 1334: 1281: 1241: 1163: 1162: 1138: 1116: 1115: 1104:approval voting 1065: 1043: 1042: 940: 939: 844: 843: 813: 767: 766: 748:k ad-hoc groups 720:(a superset of 714:of agents with 710:When there are 666: 652: 645: 622: 608: 601: 592: 591: 582:of agents with 578:When there are 559:When there are 548:When there are 528: 386: 281: 184:proportionality 180: 112: 101: 95: 92: 49: 47: 37: 25: 12: 11: 5: 2013: 2011: 2003: 2002: 1997: 1987: 1986: 1982: 1981: 1940: 1925: 1886: 1879: 1853: 1808: 1763: 1718: 1673: 1631: 1586: 1567:(4): 709–740. 1544: 1496: 1444: 1425:(4): 709–740. 1395: 1369: 1367: 1364: 1363: 1362: 1356: 1349: 1333: 1330: 1329: 1328: 1301: 1293: 1280: 1277: 1276: 1275: 1265: 1264: 1263: 1245:rental harmony 1240: 1237: 1236: 1235: 1204: 1201: 1200: 1199: 1176: 1173: 1170: 1150: 1145: 1141: 1136: 1132: 1129: 1126: 1123: 1083: 1078: 1075: 1072: 1068: 1063: 1059: 1056: 1053: 1050: 1005: 1004: 997: 996: 995: 984: 965: 962: 959: 956: 953: 950: 947: 914: 913: 897: 892: 888: 884: 879: 876: 873: 870: 867: 864: 859: 854: 851: 827: 820: 816: 811: 807: 802: 799: 796: 793: 790: 787: 782: 777: 774: 751: 744: 729: 708: 707: 706: 687: 681: 675: 672: 669: 664: 661: 658: 655: 649: 643: 637: 631: 628: 625: 620: 617: 614: 611: 605: 599: 569: 568: 557: 527: 524: 523: 522: 483: 432:exact division 391:exact division 385: 382: 374: 373: 362: 348: 334: 280: 277: 255: 254: 247: 225: 224: 217: 179: 176: 175: 174: 165: 164: 161:frames of mind 149: 145: 142: 139: 134:settings are: 114: 113: 28: 26: 19: 13: 10: 9: 6: 4: 3: 2: 2012: 2001: 1998: 1996: 1995:Fair division 1993: 1992: 1990: 1977: 1973: 1968: 1963: 1959: 1955: 1951: 1944: 1941: 1936: 1932: 1928: 1922: 1918: 1914: 1909: 1904: 1900: 1893: 1891: 1887: 1882: 1876: 1872: 1868: 1864: 1857: 1854: 1849: 1845: 1841: 1837: 1832: 1827: 1823: 1819: 1812: 1809: 1804: 1800: 1796: 1792: 1787: 1782: 1778: 1774: 1767: 1764: 1759: 1755: 1751: 1747: 1742: 1737: 1733: 1729: 1722: 1719: 1714: 1710: 1706: 1702: 1697: 1692: 1688: 1684: 1677: 1674: 1669: 1665: 1661: 1657: 1653: 1649: 1642: 1635: 1632: 1627: 1623: 1619: 1615: 1610: 1605: 1601: 1597: 1590: 1587: 1582: 1578: 1574: 1570: 1566: 1562: 1555: 1548: 1545: 1540: 1536: 1532: 1528: 1523: 1518: 1514: 1510: 1503: 1501: 1497: 1492: 1488: 1484: 1480: 1475: 1470: 1466: 1462: 1458: 1451: 1449: 1445: 1440: 1436: 1432: 1428: 1424: 1420: 1413: 1406: 1404: 1402: 1400: 1396: 1391: 1387: 1383: 1382: 1374: 1371: 1365: 1360: 1357: 1353: 1350: 1347: 1343: 1339: 1336: 1335: 1331: 1326: 1322: 1318: 1314: 1310: 1309:leximin order 1306: 1302: 1298: 1294: 1291: 1290:Group Lottery 1287: 1286: 1285: 1278: 1273: 1269: 1266: 1261: 1260: 1257: 1253: 1250: 1249: 1248: 1246: 1238: 1233: 1229: 1225: 1221: 1217: 1213: 1209: 1205: 1202: 1197: 1193: 1192: 1190: 1174: 1171: 1168: 1143: 1139: 1134: 1130: 1127: 1124: 1113: 1109: 1105: 1101: 1097: 1076: 1073: 1070: 1066: 1061: 1057: 1054: 1051: 1040: 1036: 1035:maximin-share 1032: 1028: 1024: 1020: 1019: 1013: 1012: 1011: 1009: 1002: 998: 993: 992:approximately 989: 985: 982: 978: 977: 960: 957: 954: 951: 937: 933: 929: 925: 924: 923: 921: 918: 911: 890: 886: 882: 871: 868: 865: 857: 849: 841: 818: 814: 809: 805: 794: 791: 788: 780: 772: 765:items, where 764: 760: 756: 752: 749: 745: 742: 738: 734: 730: 727: 726:Kneser graphs 723: 719: 718: 713: 709: 704: 700: 699: 673: 670: 667: 662: 659: 656: 653: 641: 629: 626: 623: 618: 615: 612: 609: 589: 585: 581: 577: 576: 575: 573: 566: 562: 558: 555: 551: 547: 546: 545: 543: 541: 540:maximin-share 535: 533: 525: 520: 516: 512: 508: 504: 500: 496: 492: 488: 484: 481: 477: 473: 469: 465: 461: 457: 453: 449: 445: 441: 437: 436: 435: 433: 429: 425: 421: 417: 413: 409: 405: 401: 398:), there are 397: 394:(also called 393: 392: 383: 381: 379: 370: 366: 363: 360: 356: 352: 349: 346: 342: 338: 335: 332: 328: 324: 320: 316: 312: 308: 305: 301: 298: 297: 296: 294: 290: 286: 278: 276: 273: 269: 266: 264: 259: 252: 248: 245: 241: 237: 236: 235: 232: 228: 222: 218: 215: 211: 207: 203: 202: 201: 199: 195: 193: 189: 188:envy-freeness 185: 177: 171: 170: 169: 162: 158: 154: 150: 146: 143: 140: 137: 136: 135: 132: 128: 127:fair division 124: 120: 110: 107: 99: 96:December 2021 88: 85: 81: 78: 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Index


verification
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"Fair division among groups"
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fair division
behavioral economics
frames of mind
proportionality
envy-freeness
preference relation
referendum
Pareto efficiency
fair cake-cutting
connected components
Robertson–Webb query model
Pareto-efficiency
exact division
exact division
fair item allocation
maximin-share
NP-hard
responsive valuations
additive valuations

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