Results 21 to 30 of about 5,289 (138)
A New Lower Bound for Deterministic Truthful Scheduling
, 2020 We study the problem of truthfully scheduling $m$ tasks to $n$ selfish unrelated machines, under the objective of makespan minimization, as was introduced in the seminal work of Nisan and Ronen [STOC'99].
A Filos-Ratsikas +22 more
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Algorithmic pricing and market coordination – toward a notion of “collusive risk”
Thēmis, 2020 Over the past couple of years, many competition and antitrust scholars have feared the dawn of ‘algorithmic collusion’. Some have thus suggested expanding the notions of ‘collusion’ and ‘agreement’ in order to capture such coordination.
Juliane K. Mendelsohn
doaj
Sustainable and Unchallenged Algorithmic Tacit Collusion
SSRN Electronic Journal, 2018 Algorithmic collusion is a hot topic within antitrust circles in Europe, US and beyond. But some economists downplay algorithmic collusion as unlikely, if not impossible. This paper responds to these criticisms by pointing to new emerging evidence and the gap between law and this particular economic theory.
Ezrachi, Ariel, Stucke, Maurice E.
openaire +3 more sources
The Quality of Equilibria for Set Packing Games [PDF]
, 2017 We introduce set packing games as an abstraction of situations in which $n$ selfish players select subsets of a finite set of indivisible items, and analyze the quality of several equilibria for this class of games.
de Jong, Jasper, Uetz, Marc
core +2 more sources
Indonesian Comparative Law ReviewThis article explores the implications of artificial intelligence (AI) for antitrust regulation through a comparative analysis of the European Union, the United States, and China.
Reni Budi Setianingrum
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Collusion in Peer-to-Peer Systems [PDF]
, 2009 Peer-to-peer systems have reached a widespread use, ranging from academic and industrial applications to home entertainment. The key advantage of this paradigm lies in its scalability and flexibility, consequences of the participants sharing their ...
Ciccarelli, Gianluca, Lo Cigno, Renato
core
Algorithmic Price Recommendations and Collusion: Experimental Evidence
SSRN Electronic Journal, 2023 AbstractThis paper investigates the collusive and competitive effects of algorithmic price recommendations on market outcomes. These recommendations are often non-binding and common in many markets. We develop a theoretical framework and derive two algorithms that recommend collusive pricing strategies.
Matthias Hunold, Tobias Werner
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Horizontal Restraint Regulations in the EU and the US in the Era of Algorithmic Tacit Collusion [PDF]
, 2018 The fast development and improvement of e-commerce through various tools such as data mining, artificial intelligence and complex pricing algorithms has not gone unnoticed. Concerns about how new technologies can impact competition law have started to be
Verdugo, Catalina González
core
Algorithmic Collusion: Corporate Accountability and the Application of Art. 101 TFEU
European Papers(Series Information) European Papers - A Journal on Law and Integration, 2024 9(3), 1048-1061 | European Forum Insight of 21 January 2025 | (Table of Contents) I. Introduction. - II. Corporate accountability for algorithmic behaviour. - ii.1. Predictable
Maria Giacalone
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Interception in Distance-Vector Routing Networks
, 2016 Despite the large effort devoted to cybersecurity research over the last decades, cyber intrusions and attacks are still increasing. With respect to routing networks, route hijacking has highlighted the need to reexamine the existing protocols that ...
Burstein, David +3 more
core +1 more source