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Product Rankings Ai Pricing Algorithms And Collusion
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Book Synopsis Product Rankings, AI Pricing Algorithms, and Collusion by : Liying Qiu
Download or read book Product Rankings, AI Pricing Algorithms, and Collusion written by Liying Qiu and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) based pricing algorithms have been shown to tacitly collude to set supra-competitive prices in oligopoly models of repeated price competition. We investigate the impact of ranking systems, a common feature of online marketplaces, on algorithmic collusion in prices. We study experimentally the behavior of algorithms powered by Artificial Intelligence (deep Q-learning) in a workhorse duopoly model of repeated price competition in the presence of product rankings. Through extensive experiments, we find that the introduction of the ranking system significantly mitigates the tacit collusion that stems from RL based pricing. The ranking system increases the incentives for the RL agents to deviate from a collusive price which in turn requires more complicated punishment strategies to prevent deviation and sustain collusive prices. These punishment strategies are harder to learn for RL algorithms in non stationary environments and the high collusive prices are not sustained as a result. The ranking system's mitigation effect is moderated by the horizontal differentiation between the products offered by the firms and the stickiness of product ranks. In particular, when products are more horizontally differentiated from each other and when past sales have a larger influence on product ranks (sticky ranking), the prices charged by the two firms are higher and the ranking system's mitigation effect is weaker. However, in both cases, prices in the presence of ranking are lower than that in the absence of ranking. Our analysis sheds light on the impact of ranking systems on consumer welfare and on design of ranking systems to prevent algorithmic pricing collusion.
Book Synopsis Artificial Intelligence, Algorithmic Pricing and Collusion by : Emilio Calvano
Download or read book Artificial Intelligence, Algorithmic Pricing and Collusion written by Emilio Calvano and published by . This book was released on 2018 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pricing algorithms are increasingly replacing human decision making in real marketplaces. To inform the competition policy debate on possible consequences, we run experiments with pricing algorithms powered by Artificial Intelligence in controlled environments (computer simulations). In particular, we study the interaction among a number of Q-learning algorithms in the context of a workhorse oligopoly model of price competition with Logit demand and constant marginal costs. We show that the algorithms consistently learn to charge supra-competitive prices, without communicating with each other. The high prices are sustained by classical collusive strategies with a finite punishment phase followed by a gradual return to cooperation. This finding is robust to asymmetries in cost or demand and to changes in the number of players.
Book Synopsis Virtual Competition by : Ariel Ezrachi
Download or read book Virtual Competition written by Ariel Ezrachi and published by Harvard University Press. This book was released on 2016-11-14 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A fascinating book about how platform internet companies (Amazon, Facebook, and so on) are changing the norms of economic competition.” —Fast Company Shoppers with a bargain-hunting impulse and internet access can find a universe of products at their fingertips. But is there a dark side to internet commerce? This thought-provoking exposé invites us to explore how sophisticated algorithms and data-crunching are changing the nature of market competition, and not always for the better. Introducing into the policy lexicon terms such as algorithmic collusion, behavioral discrimination, and super-platforms, Ariel Ezrachi and Maurice E. Stucke explore the resulting impact on competition, our democratic ideals, our wallets, and our well-being. “We owe the authors our deep gratitude for anticipating and explaining the consequences of living in a world in which black boxes collude and leave no trails behind. They make it clear that in a world of big data and algorithmic pricing, consumers are outgunned and antitrust laws are outdated, especially in the United States.” —Science “A convincing argument that there can be a darker side to the growth of digital commerce. The replacement of the invisible hand of competition by the digitized hand of internet commerce can give rise to anticompetitive behavior that the competition authorities are ill equipped to deal with.” —Burton G. Malkiel, Wall Street Journal “A convincing case for the need to rethink competition law to cope with algorithmic capitalism’s potential for malfeasance.” —John Naughton, The Observer
Book Synopsis The Cambridge Handbook of the Law of Algorithms by : Woodrow Barfield
Download or read book The Cambridge Handbook of the Law of Algorithms written by Woodrow Barfield and published by Cambridge University Press. This book was released on 2020-11-05 with total page 1327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.
Book Synopsis Big Data and Competition Policy by : Maurice E. Stucke
Download or read book Big Data and Competition Policy written by Maurice E. Stucke and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The first text to provide understanding of the important new issue of Big Data and how it relates to competition laws and policy, both in the EU and US.
Book Synopsis Consumer Search, Collusion, and Artificial Intelligence by : Mike P. Vo
Download or read book Consumer Search, Collusion, and Artificial Intelligence written by Mike P. Vo and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use both economic theory and experiments with Artificial Intelligence (AI) pricing agents to study the roles of consumer search friction on collusion and implications on market prices and consumer welfare. By developing an oligopoly model in which consumers sequentially search for the best product with advertised prices, we find that collusion is easier to sustain with lower search costs. On the other hand, increasing search costs can reduce the collusive price. However, the price reduction is insufficient to increase the consumer surplus if the collusion sustains. Our experiments show that simple reinforcement learning algorithms (Q-learning) manage to adopt a trigger-price strategy to keep prices above the competitive level in a frictional market.
Book Synopsis The Theory of Collusion and Competition Policy by : Joseph E. Harrington, Jr.
Download or read book The Theory of Collusion and Competition Policy written by Joseph E. Harrington, Jr. and published by MIT Press. This book was released on 2017-11-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of the theoretical research on unlawful collusion, focusing on the impact and optimal design of competition law and enforcement. Collusion occurs when firms in a market coordinate their behavior for the purpose of producing a supracompetitive outcome. The literature on the theory of collusion is deep and broad but most of that work does not take account of the possible illegality of collusion. Recently, there has been a growing body of research that explicitly focuses on collusion that runs afoul of competition law and thereby makes firms potentially liable for penalties. This book, by an expert on the subject, reviews the theoretical research on unlawful collusion, with a focus on two issues: the impact of competition law and enforcement on whether, how long, and how much firms collude; and the optimal design of competition law and enforcement. The book begins by discussing general issues that arise when models of collusion take into account competition law and enforcement. It goes on to consider game-theoretic models that encompass the probability of detection and penalties incurred when convicted, and examines how these policy instruments affect the frequency of cartels, cartel duration, cartel participation, and collusive prices. The book then considers the design of competition law and enforcement, examining such topics as the formula for penalties and leniency programs. The book concludes with suggested future lines of inquiry into illegal collusion.
Book Synopsis Hub-and-Spoke Cartels by : Luke Garrod
Download or read book Hub-and-Spoke Cartels written by Luke Garrod and published by MIT Press. This book was released on 2021-11-16 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive economic and legal analysis of hub-and-spoke cartels, with detailed case studies. A cartel forms when competitors conspire to limit competition through coordinated actions. Most cartels are composed exclusively of firms that would otherwise be in competition, but in a hub-and-spoke cartel, those competitors (“spokes”) conspire with the assistance of an upstream supplier or a downstream buyer (“hub”). This book provides the first comprehensive economic and legal analysis of hub-and-spoke cartels, explaining their formation and how they operate to create and sustain a collusive environment. Sixteen detailed case studies, including cases brought against toy manufacturer Hasbro and the Apple ebook case, illustrate the economic framework and legal strategies discussed. The authors identify three types of hub-and-spoke cartels: when an upstream firm facilitates downstream firms to coordinate on higher prices; when a downstream intermediary facilitates upstream suppliers to coordinate on higher prices; and when a downstream firm facilitates upstream suppliers to exclude a downstream rival. They devote a chapter to each type, discussing the formation, coordination, enforcement, efficacy, and prosecution of these cartels, and consider general lessons that can be drawn from the case studies. Finally, they present strategies for prosecuting hub-and-spoke collusion. The book is written to be accessible to both economists and lawyers, and is intended for both scholars and practitioners.
Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa
Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Book Synopsis Platform Design when Sellers Use Pricing Algorithms by : Justin P. Johnson
Download or read book Platform Design when Sellers Use Pricing Algorithms written by Justin P. Johnson and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Understanding Artificial Intelligence by : Ralf T. Kreutzer
Download or read book Understanding Artificial Intelligence written by Ralf T. Kreutzer and published by Springer Nature. This book was released on 2019-09-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey. No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss! Professor Dr. Harley Krohmer University of Bern "Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.” Avo Schönbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business Punk
Book Synopsis Algorithms and Law by : Martin Ebers
Download or read book Algorithms and Law written by Martin Ebers and published by Cambridge University Press. This book was released on 2020-07-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.
Book Synopsis Algorithmic Antitrust by : Aurelien Portuese
Download or read book Algorithmic Antitrust written by Aurelien Portuese and published by Springer Nature. This book was released on 2022-01-21 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are ubiquitous in our daily lives. They affect the way we shop, interact, and make exchanges on the marketplace. In this regard, algorithms can also shape competition on the marketplace. Companies employ algorithms as technologically innovative tools in an effort to edge out competitors. Antitrust agencies have increasingly recognized the competitive benefits, but also competitive risks that algorithms entail. Over the last few years, many algorithm-driven companies in the digital economy have been investigated, prosecuted and fined, mostly for allegedly unfair algorithm design. Legislative proposals aim at regulating the way algorithms shape competition. Consequently, a so-called “algorithmic antitrust” theory and practice have also emerged. This book provides a more innovation-driven perspective on the way antitrust agencies should approach algorithmic antitrust. To date, the analysis of algorithmic antitrust has predominantly been shaped by pessimistic approaches to the risks of algorithms on the competitive environment. With the benefit of the lessons learned over the last few years, this book assesses whether these risks have actually materialized and whether antitrust laws need to be adapted accordingly. Effective algorithmic antitrust requires to adequately assess the pro- and anti-competitive effects of algorithms on the basis of concrete evidence and innovation-related concerns. With a particular emphasis on the European perspective, this book brings together experts and scrutinizes on the implications of algorithmic antitrust for regulation and innovation.
Book Synopsis Pricing Via Artificial Intelligence by : Weipeng Zhang
Download or read book Pricing Via Artificial Intelligence written by Weipeng Zhang and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic artificial intelligence (Q-learning) algorithms have been capable of consistently learning supra-competitive pricing strategies in infinitely repeated Nash-Bertrand pricing games without human communication. Such algorithms have been able to converge due to the temporal correlation of consecutive states and actions in the learning process, which restores stationarity in an otherwise highly non-stationary setting. It is difficult for more realistic AI algorithms to converge, as the necessary training processes breaks the aforementioned temporal correlation, rendering the algorithms ineffective in learning reward-punishment strategies that result in collusive market outcomes. We adapt several widely used neural network architectures to the framework of model-free reinforcement learning and experimentally explore how the structure of AI algorithms affects market outcomes in a workhorse oligopolistic model of repeated price competition. While it is possible to train advance AI algorithms to always best respond in environments where the rival exercises a fixed strategy, it is unlikely that such algorithms can learn to coordinate in setting supra-competitive prices due to the non-stationarity of multi-agent learning processes, suggesting that algorithmic collusion may not be an immediate concern for antitrust authorities.
Book Synopsis Foundations of Data Science by : Avrim Blum
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Book Synopsis The Making of a Fly by : P. A. Lawrence
Download or read book The Making of a Fly written by P. A. Lawrence and published by Wiley-Blackwell. This book was released on 1992-04-15 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding how a multicellular animal develops from a single cell (the fertilized egg) poses one of the greatest challenges in biology today. Development from egg to adult involves the sequential expression of virtually the whole of an organism's genetic instructions both in the mother as she lays down developmental cues in the egg, and in the embryo itself. Most of our present information on the role of genes in development comes from the invertebrate fruit fly, Drosophila. The two authors of this text (amongst the foremost authorities in the world) follow the developmental process from fertilization through the primitive structural development of the body plan of the fly after cleavage into the differentiation of the variety of tissues, organs and body parts that together define the fly. The developmental processes are fully explained throughout the text in the modern language of molecular biology and genetics. This text represents the vital synthesis of the subject that many have been waiting for and it will enable many specific courses in developmental biology and molecular genetics to focus on it. It will appeali to 2nd and 3rd year students in these disciplines as well as in biochemistry, neurobiology and zoology. It will also have widespread appeal among researchers. Authored by one of the foremost authorities in the world. A unique synthesis of the developmental cycle of Drosophila - our major source of information on the role of genes in development. Designed to provide the basis of new courses in developmental biology and molecular genetics at senior undergraduate level. A lucid explanation in the modern language of the science.
Book Synopsis Algorithms, Collusion and Competition Law by : Steven Van Uytsel
Download or read book Algorithms, Collusion and Competition Law written by Steven Van Uytsel and published by Edward Elgar Publishing. This book was released on 2023-01-20 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is algorithmic collusion? This evaluative book provides an insight into tackling this important question for competition law, with contrasting critical perspectives, including theoretical, empirical, and doctrinal – the latter frequently from a comparative perspective. Bringing together scholarly discussion on algorithmic collusion, the book questions whether competition law is adeptly equipped to deal with its various facets.
