Truthful cake-cutting

Truthful cake-cutting is the study of algorithms for fair cake-cutting that are also truthful mechanisms, i.e., they incentivize the participants to reveal their true valuations to the various parts of the cake.

The classic divide and choose procedure for cake-cutting is not truthful: if the cutter knows the chooser's preferences, he can get much more than 1/2 by acting strategically. For example, suppose the cutter values a piece by its size while the chooser values a piece by the amount of chocolate in it. So the cutter can cut the cake into two pieces with almost the same amount of chocolate, such that the smaller piece has slightly more chocolate. Then, the chooser will take the smaller piece and the cutter will win the larger piece, which may be worth much more than 1/2 (depending on how the chocolate is distributed).

Randomized mechanisms

There is a trivial randomized truthful mechanism for fair cake-cutting: select a single agent uniformly at random, and give him/her the entire cake. This mechanism is trivially truthful because it asks no questions. Moreover, it is fair in expectation: the expected value of each partner is exactly 1/n. However, the resulting allocation is not fair. The challenge is to develop truthful mechanisms that are fair ex-post and not just ex-ante. Several such mechanisms have been developed.

Exact division mechanism

An exact division (aka consensus division) is a partition of the cake into n pieces such that each agent values each piece at exactly 1/n. The existence of such a division is a corollary of the Dubins–Spanier convexity theorem. Moreover, there exists such a division with at most cuts; this is a corollary of the Stromquist–Woodall theorem and the necklace splitting theorem.

In general, an exact division cannot be found by a finite algorithm. However, it can be found in some special cases, for example when all agents have piecewise-linear valuations. Suppose we have a non-truthful algorithm (or oracle) for finding an exact division. It can be used to construct a randomized mechanism that is truthful in expectation.[1][2] The randomized mechanism is a direct-revelation mechanism - it starts by asking all agents to reveal their entire value-measures:

  1. Ask the agents to report their value measures.
  2. Use the existing algorithm/oracle to generate an exact division.
  3. Perform a random permutation on the consensus partition and give each partner one of the pieces.

Here, the expected value of each agent is always 1/n regardless of the reported value function. Hence, the mechanism is truthful – no agent can gain anything from lying. Moreover, a truthful partner is guaranteed a value of exactly 1/n with probability 1 (not only in expectation). Hence the partners have an incentive to reveal their true value functions.

Super-proportional mechanism

A super-proportional division is a cake-division in which each agent receives strictly more than 1/n by their own value measures. Such a division is known to exist if and only if there are at least two agents that have different valuations to at least one piece of the cake. Any deterministic mechanism that always returns a proportional division, and always returns a super-proportional division when it exists, cannot be truthful.

Mossel and Tamuz present a super-proportional randomized mechanism that is truthful in expectation:[1]

  1. Pick a division from a certain distribution D over divisions.
  2. Ask each agent to evaluate his/her piece.
  3. If all n evaluations are more than 1/n, then implement the allocation and finish.
  4. Otherwise, use the exact-division mechanism.

The distribution D in step 1 should be chosen such that, regardless of the agents' valuations, there is a positive probability that a super-proportional division be selected iff it exists. Then, in step 2 it is optimal for each agent to report the true value: reporting a lower value either has no effect or might cause the agent's value to drop from super-proportional to just proportional (in step 4); reporting a higher value either has no effect or might cause the agent's value to drop from proportional to less than 1/n (in step 3).

Approximate exact division using queries

Suppose that, rather than directly revealing their valuations, the agents reveal their values indirectly by answering mark and eval queries (as in the Robertson-Webb model).

Branzei and Miltersen[3] show that the exact-division mechanism can be "discretized" and executed in the query model. This yields, for any , a randomized query-based protocol, that asks at most queries, is truthful in expectation, and allocates each agent a piece of value between and , by the valuations of all agents.

On the other hand, they prove that, in any deterministic truthful query-based protocol, if all agents value all parts of the cake positively, there is at least one agent who gets the empty piece. This implies that, if there are only two agents, then at least one agent is a "dictator" and gets the entire cake. Obviously, any such mechanism cannot be envy-free.

Randomized mechanism for piecewise-constant valuations

Suppose all agents have piecewise-constant valuations. This means that, for each agent, the cake is partitioned into finitely many subsets, and the agent's value density in each subset is constant. For this case, Aziz and Ye present a randomized algorithm that is more economically-efficient: Constrained Serial Dictatorship is truthful in expectation, robust proportional, and satisfies a property called unanimity: if each agent's most preferred 1/n length of the cake is disjoint from other agents, then each agent gets their most preferred 1/n length of the cake. This is a weak form of efficiency that is not satisfied by the mechanisms based on exact division. When there are only two agents, it is also polynomial-time and robust envy-free.[4]

Deterministic mechanisms: piecewise-constant valuations

For deterministic mechanisms, the results are mostly negative, even when all agents have piecewise-constant valuations.

Kurokawa, Lai and Procaccia prove that there is no deterministic, truthful and envy-free mechanism that requires a bounded number of Robertson-Webb queries.[5]

Aziz and Ye prove that there is no deterministic truthful mechanism that satisfies either one of the following properties:[4]

  • Proportional and Pareto-optimal;
  • Robust-proportional and non-wasteful ("non-wasteful" means that no piece is allocated to an agent who does not want it; it is weaker than Pareto-optimality).

Menon and Larson introduce the notion of ε-truthfulness, which means that no agent gains more than a fraction ε from misreporting, where ε is a positive constant independent of the agents' valuations. They prove that no deterministic mechanism satisfies either one of the following properties:[6]

  • ε-truthful, approximately-proportional and non-wasteful (for approximation constants at most 1/n);
  • Truthful, approximately-proportional and connected (for approximation constant at most 1/n).

They present a minor modification to the Even–Paz protocol and prove that it is ε-truthful with ε = 1 - 3/(2n) when n is even, and ε = 1 - 3/(2n) + 1/n2 when n is odd.

Bei, Chen, Huzhang, Tao and Wu prove that there is no deterministic, truthful and envy-free mechanism, even in the direct-revelation model, that satisfies either one of the following additional properties:[7]

  • Connected pieces;
  • Non-wasteful;
  • Position oblivious - the allocation of a cake-part is based only on the agents' valuations of that part, and not on its relative position on the cake.

Note that these impossibility results hold with or without free disposal.

On the positive side, in a replicate economy, where each agent is replicated k times, there are envy-free mechanisms in which truth-telling is a Nash equilibrium:[7]

  • With connectivity requirement, in any envy-free mechanism, truth-telling converges to a Nash equilibrium when k approaches infinity;
  • Without connectivity requirement, in the mechanism that allocates each homogeneous sub-interval equally among all agents, truth-telling is a Nash equilibrium already when k ≥ 2.

Tao improves the previous impossibility result by Bei, Chen, Huzhang, Tao and Wu and shows that there is no deterministic, truthful and proportional mechanism, even in the direct-revelation model, and even when all of the followings hold:[8]

  • There are only two agents;
  • Agents are hungry: each agent's valuation is positive (i.e., cannot be 0);
  • The mechanism is allowed to leave some part of the cake unallocated.

It is open whether this impossibility result extends to three or more agents.

On the positive side, Tao presents two algorithms that attain a weaker notion called "proportional risk-averse truthfulness" (PRAT). It means that, in any profitable deviation for agent i, there exist valuations of the other agents, for which i gets less than his proportional share. This property is stronger than "risk-averse truthfulness", which means that, in any profitable deviation for i, there exist valuations of the other agents, for which i gets less than his value in a truthful reporting. He presents an algorithm that is PRAT and envy-free, and an algorithm that is PRAT, proportional and connected.[8]

Piecewise-uniform valuations

Suppose all agents have piecewise-uniform valuations. This means that, for each agent, there is a subset of the cake that is desirable for the agent, and the agent's value for each piece is just the amount of desirable cake that it contains. For example, suppose some parts of the cake are covered by a uniform layer of chocolate, while other parts are not. An agent who values each piece only by the amount of chocolate it contains has a piecewise-uniform valuation. This is a special case of piecewise-constant valuations. Several truthful algorithms have been developed for this special case.

Chen, Lai, Parkes and Procaccia present a direct-revelation mechanism that is deterministic, proportional, envy-free, Pareto-optimal, and polynomial-time.[2] It works for any number of agents. Here is an illustration of the CLPP mechanism for two agents (where the cake is an interval).

  1. Ask each agent to report his/her desired intervals.
  2. Each sub-interval, that is desired by no agent, is discarded.
  3. Each sub-interval, that is desired by exactly one agent, is allocated to that agent.
  4. The sub-intervals, that are desired by both agents, are allocated such that both agents get an equal total length.

Now, if an agent says that he wants an interval that he actually does not want, then he may get more useless cake in step 3 and less useful cake in step 4. If he says that he does not want an interval that he actually wants, then he gets less useful cake in step 3 and more useful cake in step 4, however, the amount given in step 4 is shared with the other agent, so all in all, the lying agent is at a loss. The mechanism can be generalized to any number of agents.

The CLPP mechanism relies on the free disposal assumption, i.e., the ability to discard pieces that are not desired by any agent.

Note: Aziz and Ye[4] presented two mechanisms that extend the CLPP mechanism to piecewise-constant valuations - Constrained Cake Eating Algorithm and Market Equilibrium Algorithm. However, both these extensions are no longer truthful when the valuations are not piecewise-uniform.

Maya and Nisan show that the CLPP mechanism is unique in the following sense.[9] Consider the special case of two agents with piecewise-uniform valuations, where the cake is [0,1], Alice wants only the subinterval [0,a] for some a<1, and Bob desires only the subinterval [1-b,1] for some b<1. Consider only non-wasteful mechanisms - mechanisms that allocate each piece desired by at least one player to a player who wants it. Each such mechanism must give Alice a subset [0,c] for some c<1 and Bob a subset [1-d,1] for some d<1. In this model:

  • A non-wasteful determininstic mechanism is truthful iff, for some parameter t in [0,1], it gives Alice the interval [0, min(a, max(1-b,t))] and Bob the interval [1-min(b,max(1-a,1-t)),1]
  • Such mechanism is envy-free iff t=1/2; in this case it is equivalent to the CLPP mechanism

They also show that, even for 2 agents, any truthful mechanism achieves at most 0.93 of the optimal social welfare.

Li, Zhang and Zhang show that the CLPP mechanism works well even when there are externalities (i.e., some agents derive some benefit from the value given to others), as long as the externalities are sufficiently small. On the other hand, if the externalities (either positive or negative) are large, no truthful non-wasteful and position independent mechanism exists.[10]

Alijani, Farhadi, Ghodsi, Seddighin and Tajik present several mechanisms for special cases of piecewise-uniform valuations:[11]

  • The expansion process handles piecewise-uniform valuations where each agent has a single desired interval, and moreover, the agents' desired intervals satisfy an ordering property. It is polynomial-time, truthful, envy-free, and guarantees connected pieces.
  • The expansion process with unlocking handles piecewise-uniform valuations where each agent has a single desired interval, but without the ordering requirement. It is polynomial-time, truthful, envy-free, and not necessarily connected, but it makes at most 2n-2 cuts.

Bei, Huzhang and Suksompong present a mechanism for two agents with piecewise-uniform valuations, that has the same properties of CLPP (truthful, deterministic, proportional, envy-free, Pareto-optimal and runs in polynomial time), but guarantees that the entire cake is allocated:[12]

  1. Find the smallest x in [0,1] such that Alice's desired length in [0,x] equals Bob's desired length in [x,1].
  2. Give Alice the intervals in [0,x] valued by Alice and the intervals in [x,1] not valued by Bob; give the remainder to Bob.

The BHS mechanism works both for cake-cutting and for chore division (where the agents' valuations are negative). Note that BHS does not satisfy some natural desirable properties:

  • It does not guarantee connected pieces, for example when Alice wants [0,1] and Bob wants [0,0.5], then x=0.25, Alice gets [0,0.25] and [0.5,1], and Bob gets [0.25,0.5].
  • It is not anonymous (see symmetric fair cake-cutting): if Alice wants [0,1] and Bob wants [0,0.5], then Alice gets a desired length of 0.75 and Bob gets 0.25, but if the valuations are switched (Alice wants [0,0.5] and Bob wants [0,1]), then x=0.5 and both agents get desired length 0.5.
  • It is not position oblivious: if Alice wants [0,0.5] and Bob wants [0,1] then both agents get value 0.5, but if Alice's desired interval moves to [0.5,1] then x=0.75 and Alice gets 0.25 and Bob gets 0.75.

This is not a problem with the specific mechanism: it is provably impossible to have a truthful and envy-free mechanism that allocates the entire cake and guarantees any of these three properties, even for two agents with piecewise-uniform valuations.[12]

The BHS mechanism was extended to any number of agents, but only for a special case of piecewise-uniform valuations, in which each agent desires only a single interval of the form [0, xi].

Ianovsky[13] proves that no truthful mechanism can attain a utilitarian-optimal cake-cutting, even when all agents have piecewise-uniform valuations. Moreover, no truthful mechanism can attain an allocation with utilitarian welfare at least as large as any other mechanism. However, there is a simple truthful mechanism (denoted Lex Order) that is non-wasteful: give to agent 1 all pieces that he likes; then, give to agent 2 all pieces that he likes and were not yet given to agent 1; etc. A variant of this mechanism is the Length Game, in which the agents are renamed by the total length of their desired intervals, such that the agent with the shortest interval is called 1, the agent with the next-shortest interval is called 2, etc. This is not a truthful mechanism, however:

  • If all agents are truthful, then it produces a utilitarian-optimal allocation.
  • If the agents are strategic, then all its well-behaved Nash equilibria are Pareto-efficient and envy-free, and yield the same payoffs as the CLPP mechanism.

Summary of truthful mechanisms and impossibility results
Name Type Deterministic? #agents(n) Valuations[14] Chores?[15] Run time All?[16] PO?[17] EF?[18] Anon?[19] Conn?[20] Pos.Ob.?[21] No Waste?[22]
Exact division[1][2]DirectNoManyGeneralYes Unbounded[23]YesNoYesYesNo ? ?
Super-proportional[1] DirectNoManyGeneralYes UnboundedYesNoNoYesNo ? ?
Discrete exact division[3] QueriesNoMany GeneralYes YesNo -EFYesNo ? ?
Constrained Serial Dictatorship[4] DirectNoMany PWC ? ?No Unanimity Prop. ?No ? ?
CLPP[2] DirectYesManyPWUNo PolynomialNoYesYesYesNo ?Yes
BHS 1, 2 DirectYes2PWUYes PolynomialYesYesYesNoNoNoYes
BHS 3, 4 DirectYesMany PWU1Yes PolynomialYesYes Yes (for cakes) ? ? ?Yes
Expansion[11] DirectYesMany PWU1+order ? Polynomial ? ?Yes ?Yes ? ?
Expansion+ Unlocking DirectYesMany PWU1 ? Polynomial ? ?Yes ? 2n-2 cuts ? ?
IMPOSSIBLE COMBINATIONS:
[BM][3] QueriesYes 2+ Any
[BHS][12] DirectYes 2+ PWU Yes YesYes
[BHS] DirectYes 2+ PWU Yes Yes Yes
[BHS] DirectYes 2+ PWU Yes Yes Yes
[T][8] DirectYes 2+ PWC Yes(even for Prop.)
[BCHTW][7] DirectYes 2+ PWC Yes Yes Yes
[BCHTW] DirectYes 2+ PWC Yes Yes Yes
[BCHTW] DirectYes 2+ PWC Yes Yes Yes
[BCHTW] SequentialYes 2+ PWC Yes Yes


See also

References
  1. Mossel, Elchanan; Tamuz, Omer (2010). "Truthful Fair Division". Algorithmic Game Theory. Lecture Notes in Computer Science. Springer Berlin Heidelberg. 6386: 288–299. arXiv:1003.5480. Bibcode:2010LNCS.6386..288M. doi:10.1007/978-3-642-16170-4_25. ISBN 9783642161704. S2CID 11732339.
  2. Chen, Yiling; Lai, John K.; Parkes, David C.; Procaccia, Ariel D. (2013-01-01). "Truth, justice, and cake cutting". Games and Economic Behavior. 77 (1): 284–297. doi:10.1016/j.geb.2012.10.009. ISSN 0899-8256. S2CID 2096977.
  3. Brânzei, Simina; Miltersen, Peter Bro (2015-06-22). "A Dictatorship Theorem for Cake Cutting". Twenty-Fourth International Joint Conference on Artificial Intelligence.
  4. Aziz, Haris; Ye, Chun (2014). Liu, Tie-Yan; Qi, Qi; Ye, Yinyu (eds.). "Cake Cutting Algorithms for Piecewise Constant and Piecewise Uniform Valuations". Web and Internet Economics. Lecture Notes in Computer Science. Springer International Publishing. 8877: 1–14. doi:10.1007/978-3-319-13129-0_1. ISBN 9783319131290. S2CID 18365892.
  5. Kurokawa, David; Lai, John K.; Procaccia, Ariel D. (2013-06-30). "How to Cut a Cake Before the Party Ends". Twenty-Seventh AAAI Conference on Artificial Intelligence. 27: 555–561. doi:10.1609/aaai.v27i1.8629. S2CID 12638556.
  6. Menon, Vijay; Larson, Kate (2017-05-17). "Deterministic, Strategyproof, and Fair Cake Cutting". arXiv:1705.06306 [cs.GT].
  7. Bei, Xiaohui; Chen, Ning; Huzhang, Guangda; Tao, Biaoshuai; Wu, Jiajun (2017). "Cake Cutting: Envy and Truth". Proceedings of the 26th International Joint Conference on Artificial Intelligence. IJCAI'17. AAAI Press: 3625–3631. ISBN 9780999241103.
  8. Tao, Biaoshuai (2022-07-13). "On Existence of Truthful Fair Cake Cutting Mechanisms". Proceedings of the 23rd ACM Conference on Economics and Computation. pp. 404–434. arXiv:2104.07387. doi:10.1145/3490486.3538321. ISBN 9781450391504. S2CID 233241229.
  9. Maya, Avishay; Nisan, Noam (2012). Goldberg, Paul W. (ed.). "Incentive Compatible Two Player Cake Cutting". Internet and Network Economics. Lecture Notes in Computer Science. Springer Berlin Heidelberg. 7695: 170–183. arXiv:1210.0155. Bibcode:2012arXiv1210.0155M. doi:10.1007/978-3-642-35311-6_13. ISBN 9783642353116. S2CID 1927798.
  10. Li, Minming; Zhang, Jialin; Zhang, Qiang (2015-06-22). "Truthful Cake Cutting Mechanisms with Externalities: Do Not Make Them Care for Others Too Much!". Twenty-Fourth International Joint Conference on Artificial Intelligence.
  11. Alijani, Reza; Farhadi, Majid; Ghodsi, Mohammad; Seddighin, Masoud; Tajik, Ahmad S. (2017-02-10). "Envy-Free Mechanisms with Minimum Number of Cuts". Thirty-First AAAI Conference on Artificial Intelligence. 31. doi:10.1609/aaai.v31i1.10584. S2CID 789550.
  12. Bei, Xiaohui; Huzhang, Guangda; Suksompong, Warut (2020). "Truthful fair division without free disposal". Social Choice and Welfare. 55 (3): 523–545. arXiv:1804.06923. doi:10.1007/s00355-020-01256-0. PMC 7497335. PMID 33005068.
  13. Ianovski, Egor (2012-03-01). "Cake Cutting Mechanisms". arXiv:1203.0100 [cs.GT].
  14. PWC = piecewise-constant, PWU = piecewise-uniform, PWU1 = piecewise-uniform with a single desired interval.
  15. Whether the algorithm can handle also cakes with negative utilities (chores).
  16. Whether the entire cake is divided, with no disposal.
  17. Whether the resulting allocation is always Pareto optimal.
  18. Whether the resulting allocation is always envy-free.
  19. Whether the mechanismn is anonymous.
  20. Whether the resulting pieces are always connected.
  21. Whether the mechanism is position oblivious.
  22. Whether the algorithm guarantees non-wastefulness.
  23. The run-time is dominated by calculating an exact division. In general it is unbounded, but in special cases it may be polynomial.
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