AlgorithmsArtificial IntelligenceMachine LearningTacit CollusionCompetition LawThis paper discusses the question whether self-learning price-setting algorithms are able to coordinate their pricing behaviour to achieve a collusive outcome tSocial Science Electronic Publishing
Functional Re-encryption and Collusion-Resistant Obfuscation Nishanth Chandran,Melissa Chase, Vinod Vaikuntanathan Theory of Cryptography – 9th Theory of Cryptography Conference, TCC 2012, Taormina, Sicily, Italy, March 19-21, 2012. Proceedings| March 2012 ...
Joseph Harrington:So I'm Joe Harrington. I'm professor of business, economics and public policy at the Wharton School, University of Pennsylvania. My research is in the area of collusion and cartels. Jennifer:The case involving the Amazon poster sellers is something that’s pretty close to tra...
and machine learning is carried out in the following sequence: factors (economic, political, legal, scientific) that affect the development of the are identified; the market is estimated by endogenous and exogenous variables; the influence of certain factors on the growth of endogenous and exogenous...
Abstract Natural Language Processing (NLP) has become essential in text classification, sentiment analysis, machine translation, and speech recognition applications. As these tasks become complex, traditional machine learning and deep learning models encounter challenges with optimization, parameter tuning, and...
But as long as the algorithms are programmed to deliver the greatest profit possible, and can learn how to do this independently, it may not be possible for programmers to overcome this collusion. Even with some restrictions put in place, the algorithms may well learn ways to overcome them a...
Espeland and Hui (1987, Biometrics 43, 1001-1012) propose a methodology for analysing epidemiologic data contaminated by misclassification. They explicate their algorithm by a data set concerning cervical cancer and circumcision. We reanalyse these data using a conditional independence assumption different...
But as long as the algorithms are programmed to deliver the greatest profit possible, and can learn how to do this independently, it may not be possible for programmers to overcome this collusion. Even with some restrictions put in place, the algorithms may well learn ways to overcome them as...
The future is now: machine learning pricing algorithms and tacit collusionOtt, LeonieWirtschaft und Wettbewerb
Algorithmic collusionAlgorithmic pricingThis article undertakes a critical review of the prospect that reinforced-learning, or more loosely described machine-based, pricing algorithms will lead to widespread collusion without human involvement. There is no evidence, no antitrust case, and no strong ...