New Algorithms for the Fair and Efficient Allocation of Indivisible Chores

Garg, Jugal, Murhekar, Aniket, Qin, John

arXiv.org Artificial Intelligence 

Discrete fair division has recently received significant attention due to its applications in a wide variety of multi-agent settings; see recent surveys [2, 27, 4]. Given a set of indivisible items and a set of n agents with diverse preferences, the goal is to find an allocation that is fair (i.e., acceptable by all agents) and efficient (i.e., non-wasteful). We assume that agents have additive valuations. The standard economic efficiency notion is Pareto-optimality (PO) and its strengthening fractional Pareto-optimality (fPO). Fairness notions based on envy [15] are most popular, where an allocation is said to be envy-free (EF) if every agent weakly prefers her bundle to any other agent's bundle. Since EF allocations need not exist (e.g., dividing one item among two agents), its relaxations envy-free up to any item (EFX) [10] and envy-free up to one item (EF1) [23, 9] are most widely used, where EF EFX EF1.

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