Strongly budget balanced auctions for multi-sided markets

Rica Gonen, Erel Segal-Halevi

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

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.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفAAAI 2020 - 34th AAAI Conference on Artificial Intelligence
ناشرAAAI press
الصفحات1998-2005
عدد الصفحات8
رقم المعيار الدولي للكتب (الإلكتروني)9781577358350
حالة النشرنُشِر - 2020
الحدث34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, الولايات المتّحدة
المدة: ٧ فبراير ٢٠٢٠١٢ فبراير ٢٠٢٠

سلسلة المنشورات

الاسمAAAI 2020 - 34th AAAI Conference on Artificial Intelligence

!!Conference

!!Conference34th AAAI Conference on Artificial Intelligence, AAAI 2020
الدولة/الإقليمالولايات المتّحدة
المدينةNew York
المدة٧/٠٢/٢٠١٢/٠٢/٢٠

ملاحظة ببليوغرافية

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

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