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Open AccessJournal ArticleDOI

Algorithm for optimal winner determination in combinatorial auctions

Tuomas Sandholm
- 01 Feb 2002 - 
- Vol. 135, Iss: 1, pp 1-54
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TLDR
The algorithm allows combinatorial auctions to scale up to significantly larger numbers of items and bids than prior approaches to optimal winner determination by capitalizing on the fact that the space of bids is sparsely populated in practice.
About
This article is published in Artificial Intelligence.The article was published on 2002-02-01 and is currently open access. It has received 1045 citations till now. The article focuses on the topics: Combinatorial auction & Common value auction.

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Citations
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Book

Algorithmic Game Theory

TL;DR: A new era of theoretical computer science addresses fundamental problems about auctions, networks, and human behavior in a bid to solve the challenges of 21st Century finance.
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Combinatorial Auctions

TL;DR: It's important for you to start having that hobby that will lead you to join in better concept of life and reading will be a positive activity to do every time.
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Combinatorial Auctions: A Survey

TL;DR: The state of knowledge about the design of combinatorial auctions is surveyed and some new insights are presented.
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Market-Based Multirobot Coordination: A Survey and Analysis

TL;DR: An introduction to market-based multirobot coordination is provided, a review and analysis of the state of the art in the field, and a discussion of remaining research challenges are discussed.
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Consensus-Based Decentralized Auctions for Robust Task Allocation

TL;DR: This paper addresses task allocation to coordinate a fleet of autonomous vehicles by presenting two decentralized algorithms: the consensus-based auction algorithm (CBAA) and its generalization to the multi-assignment problem, i.e., theensus-based bundle algorithm ( CBBA).
References
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eMediator: A Next Generation Electronic Commerce Server

TL;DR: This paper presents eMediator, an electronic commerce server prototype that demonstrates ways in which algorithmic support and game–theoretic incentive engineering can jointly improve the efficiency of e–commerce.
Proceedings Article

Greedy local improvement and weighted set packing approximation

TL;DR: In this paper, the authors present an approximation algorithm for the weighted k-set packing problem that combines the two paradigms by starting with an initial greedy solution and then repeatedly choosing the best possible local improvement.
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Leveled Commitment Contracts and Strategic Breach

TL;DR: It is shown that, despite such strategic breach, leveled commitment increases the expected payoff to both contract parties and can enable deals that are impossible under full commitment.
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Issues in computational Vickrey auctions

TL;DR: Methods for determining winners and prices in combinatorial"second-price” auctions are treated, together with the implications for truth dominance.
Book ChapterDOI

Approximations of weighted independent set and hereditary subset problems

TL;DR: Improved performance ratios for the Independent Set problem in weighted general graphs, weighted bounded-degree graphs, and in sparse graphs are reported.