Chore division
Chore division is a fair division problem in which the divided resource is undesirable, so that each participant wants to get as little as possible. It is the mirror-image of the fair cake-cutting problem, in which the divided resource is desirable so that each participant wants to get as much as possible. Both problems have heterogeneous resources, meaning that the resources are nonuniform. In cake division, cakes can have edge, corner, and middle pieces along with different amounts of frosting. Whereas in chore division, there are different chore types and different amounts of time needed to finish each chore. Similarly, both problems assume that the resources are divisible. Chores can be infinitely divisible, because the finite set of chores can be partitioned by chore or by time. For example, a load of laundry could be partitioned by the number of articles of clothing and/or by the amount of time spent loading the machine. The problems differ, however, in the desirability of the resources. The chore division problem was introduced by Martin Gardner in 1978.
Chore division is often called fair division of bads, in contrast to the more common problem called "fair division of goods". Another name is dirty work problem. The same resource can be either good or bad, depending on the situation. For example, suppose the resource to be divided is the back-yard of a house. In a situation of dividing inheritance, this yard would be considered good, since each heir would like to have as much land as possible, so it is a cake-cutting problem. But in a situation of dividing house-chores such as lawn-mowing, this yard would be considered bad, since each child would probably like to have as little land as possible to mow, so it is a chore-cutting problem.
Some results from fair cake-cutting can be easily translated to the chore-cutting scenario. For example, the divide and choose procedure works equally well in both problems: one of the partners divides the resource to two parts that are equal in his eyes, and the other partner chooses the part that is "better" in his eyes. The only difference is that "better" means "larger" in cake-cutting and "smaller" in chore-cutting. However, not all results are so easy to translate. More details are given below.
Proportional chore-cutting
The definition of proportional division in chore-cutting is the mirror-image of its definition in cake-cutting: each partner should receive a piece that is worth, according to his own personal disutility function, at most of the total value :Most protocols for proportional cake-cutting can be easily translated to the chore-cutting. For example:
- To use the last diminisher protocol: ask an agent to cut a piece worth exactly for him. If any other agent feels that this piece is too small, then he can enlarge it until it is worth exactly for him, and so on. The "last enlarger" receives the piece, which is worth exactly for him and at least for the others.
- To use the Even-Paz protocol: ask each agent to mark the half-value line, making sure all lines are parallel. Cut the cake in the median of the lines, divide the agents to two groups of agents, and let each half recursively divide the piece that does NOT contain its line.
Equitable and exact chore-cutting
Envy-free chore-cutting
The definition of envy-freeness in chore-cutting is the mirror-image of its definition in cake-cutting: each partner should receive a piece that is worth, according to his own personal disutility function, at most as much as any other piece:For two partners, divide and choose produces an envy-free chore-cutting. However, for three or more partners, the situation is much more complicated. The main difficulty is in the trimming – the action of trimming a piece to make it equal to another piece. This action cannot be easily translated to the chore-cutting scenario.
Oskui's discrete procedure for three partners
Reza Oskui was the first who suggested a chore-cutting procedure for three partners. His work was never formally published; It is described in pages 73–75. It is similar to the Selfridge–Conway protocol, but more complicated: it requires 9 cuts instead of 5 cuts.Below, the partners are called Alice, Bob and Carl.
Step one. Alice cuts the chore to three pieces equal in her eyes. Bob and Carl specify their smallest piece. The easy case is that they disagree, since then we can give each partner a smallest piece and we are done. The hard case is that they agree. Let's call the piece, that both Bob and Carl view as smallest, X1, and the other two pieces, X2 and X3.
Step two. Ask Bob and Carl to mark, on each of the pieces X2 and X3, where the piece has to be cut in order to make it equal to X1. We consider several cases.
Case 1. Bob's trims are weaker. I.e, if Bob trims X2 to X2' and X3 to X3', such that both X2' and X3' are for him as small as X1, then Carl thinks X1 is still a smallest piece – weakly smaller than X2' and X3'. Then, the following partial division is envy-free:
- Carl gets X1;
- Alice gets the smaller of X2' and X3' ;
- Bob gets the piece not taken by Alice.
- Bob cuts it to three equal pieces.
- The agent choose pieces in the order: Carl, Alice, Bob.
Alice is not envious since she had a advantage over Carl:
in the first step, Carl took X1, while Alice took a piece that is smaller than X1 by max, while in the last step, Alice took two pieces that are worth at most /2.
Case 2. Carl's trims are weaker. I.e, if Carl trims X2 to X2' and X3 to X3', such that both X2' and X3' are for him as small as X1, then Bob thinks X1 is still a smallest piece – weakly smaller than X2' and X3'. Then, we proceed as in Case 1, with the roles of Bob and Carl switched.
Case 3. Bob's trim is weaker in X2, and Carl's trim is weaker in X3. I.e, if Bob trims X2 to X2' which is equal to X1 for him, and Carl trims X3 to X3' which is equal to X1 for him, then:
- For Carl: X2' >= X1 = X3'
- For Bob: X3' >= X1 = X2'
- Alice gets the smaller of X2' and X3' ;
- Bob gets either X2' or X1 ;
- Carl gets either X3' or X1.
Oskui also showed how to convert the following moving-knife procedures from cake-cutting to chore-cutting:
- Stromquist moving-knives procedure
- The rotating-knife procedure.
Peterson and Su's continuous procedures for three and four partners
Step One. Divide the chores into 3 pieces using any envy-free cake cutting method and assign each piece to the player that finds it the largest.
Step Two.
- Using Austin moving-knife procedure, divide piece 1 to two slices that partners 1 and 2 consider equal. Let partner 3 choose the slice that is smaller in his eyes, and give the other slice to partner 2.
- Similarly, divide piece 2 to two slices that partners 2 and 3 consider equal, let partner 1 choose the smallest slice and give the other slice to partner 3.
- Similarly, divide piece 3 to two slices that partners 3 and 1 consider equal, let partner 2 choose the smallest slice and give the other slice to partner 1.
Peterson and Su extend their continuous procedure to four partners.
Peterson and Su's discrete procedure for any number of partners
The existence of a discrete procedure for five or more partners remained an open question, until in 2009 Peterson and Su published a procedure for n partners. It is analogous to the Brams–Taylor procedure and uses the same idea of irrevocable advantage. Instead of trimming, they use adding from reserve.Dehghani et al.'s discrete and bounded procedure for any number of partners
Peterson and Su gave a moving knife procedure for 4-person chore division. Dehghani et al. provided the first discrete and bounded envy-free protocol for chore division among any number of agents.Procedures for connected pieces
The following procedures can be adapted to divide a bad cake with disconnected pieces:- Robertson–Webb rotating-knife procedure
- Stromquist moving-knives procedure
- Simmons–Su protocols. Simmons originally developed a protocol for approximate envy-free cake-cutting with connected pieces, based on Sperner's lemma. Su showed, using a dual lemma, that a similar protocol can be used for approximate envy-free chore division. In particular, it shows that there always exists an envy-free chore division with connected pieces.
Price-of-fairness
Applications
It may be possible to use chore division procedures to divide up the work and cost of reducing climate change among nations. Problems occur with morals and getting cooperation between nations. However, using chore division procedures reduces the need for a supra-national authority to partition and oversee work by those nations.Another use for chore division would be in the rental harmony problem.