TY - GEN
T1 - When Dividing Mixed Manna Is Easier Than Dividing Goods
T2 - 14th International Symposium on Algorithmic Game Theory, SAGT 2021
AU - Garg, Jugal
AU - Hoefer, Martin
AU - McGlaughlin, Peter
AU - Schmalhofer, Marco
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - We study markets with mixed manna, where m divisible goods and chores shall be divided among n agents to obtain a competitive equilibrium. Equilibrium allocations are known to satisfy many fairness and efficiency conditions. While a lot of recent work in fair division is restricted to linear utilities, we focus on a substantial generalization to separable piecewise-linear and concave (SPLC) utilities. We first derive polynomial-time algorithms for markets with a constant number of items or a constant number of agents. Our main result is a polynomial-time algorithm for instances with a constant number of chores (as well as any number of goods and agents) under the condition that chores dominate the utility of the agents. Interestingly, this stands in contrast to the case when the goods dominate the agents utility in equilibrium, where the problem is known to be PPAD-hard even without chores.
AB - We study markets with mixed manna, where m divisible goods and chores shall be divided among n agents to obtain a competitive equilibrium. Equilibrium allocations are known to satisfy many fairness and efficiency conditions. While a lot of recent work in fair division is restricted to linear utilities, we focus on a substantial generalization to separable piecewise-linear and concave (SPLC) utilities. We first derive polynomial-time algorithms for markets with a constant number of items or a constant number of agents. Our main result is a polynomial-time algorithm for instances with a constant number of chores (as well as any number of goods and agents) under the condition that chores dominate the utility of the agents. Interestingly, this stands in contrast to the case when the goods dominate the agents utility in equilibrium, where the problem is known to be PPAD-hard even without chores.
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U2 - 10.1007/978-3-030-85947-3_22
DO - 10.1007/978-3-030-85947-3_22
M3 - Conference contribution
AN - SCOPUS:85115875835
SN - 9783030859466
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 329
EP - 344
BT - Algorithmic Game Theory - 14th International Symposium, SAGT 2021, Proceedings
A2 - Caragiannis, Ioannis
A2 - Hansen, Kristoffer Arnsfelt
PB - Springer
Y2 - 21 September 2021 through 24 September 2021
ER -