2026 AAAI AAAI 2026

Exact and Approximate Maximin Share Allocations in Multi-Graphs

Abstract

Abstract We study the problem of (approximate) maximin share (MMS) allocation of indivisible items among a set of agents. We focus on the graphical valuation model, in which the input is given by a graph where edges correspond to items, and vertices correspond to agents. An edge may have non-zero marginal value only for its incident vertices. We study additive, XOS and subadditive valuations and we present positive and negative results for (approximate) MMS fairness, and also for (approximate) pair-wise maximin share (PMMS) fairness.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Mathematics & Optimization
🧭 Keyword Pioneer — graphical valuation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Data Science & Analytics, Machine Learning, Mathematics & Optimization, Reinforcement Learning