Strongly budget balanced auctions for multi-sided markets

Rica Gonen, Erel Segal-Halevi

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

In two-sided markets, Myerson and Satterthwaite's impossibility theorem states that one can not maximize the gain-from-trade while also satisfying truthfulness, individual-rationality and no deficit. Attempts have been made to circumvent Myerson and Satterthwaite's result by attaining approximately-maximum gain-from-trade: the double-sided auctions of McAfee (1992) is truthful and has no deficit, and the one by Segal-Halevi et al. (2016) additionally has no surplus - it is strongly-budget-balanced. They consider two categories of agents - buyers and sellers, where each trade set is composed of a single buyer and a single seller. The practical complexity of applications such as supply chain require one to look beyond two-sided markets. Common requirements are for: buyers trading with multiple sellers of different or identical items, buyers trading with sellers through transporters and mediators, and sellers trading with multiple buyers. We attempt to address these settings. We generalize Segal-Halevi et al. (2016)'s strongly-budget-balanced double-sided auction setting to a multilateral market where each trade set is composed of any number of agent categories. Our generalization refines the notion of competition in multi-sided auctions by introducing the concepts of external competition and trade reduction. We also show an obviously-truthful implementation of our auction using multiple ascending prices. Full version, including omitted proofs and simulation experiments, is available at https://arxiv.org/abs/1911.08094.

שפה מקוריתאנגלית
כותר פרסום המארחAAAI 2020 - 34th AAAI Conference on Artificial Intelligence
מוציא לאורAAAI press
עמודים1998-2005
מספר עמודים8
מסת"ב (אלקטרוני)9781577358350
סטטוס פרסוםפורסם - 2020
אירוע34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, ארצות הברית
משך הזמן: 7 פבר׳ 202012 פבר׳ 2020

סדרות פרסומים

שםAAAI 2020 - 34th AAAI Conference on Artificial Intelligence

כנס

כנס34th AAAI Conference on Artificial Intelligence, AAAI 2020
מדינה/אזורארצות הברית
עירNew York
תקופה7/02/2012/02/20

הערה ביבליוגרפית

Publisher Copyright:
Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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