Spectrum Trading: An Abstracted Bibliography

This document contains a bibliographic list of major papers on spectrum trading and their abstracts. The aim of the list is to offer researchers entering this field a fast panorama of the current literature. The list is continually updated on the webpage \url{http://www.disp.uniroma2.it/users/naldi/Ricspt.html}. Omissions and papers suggested for inclusion may be pointed out to the authors through e-mail (\textit{[email protected]})

An Investigation Report on Auction Mechanism Design

Auctions are markets with strict regulations governing the information available to traders in the market and the possible actions they can take. Since well designed auctions achieve desirable economic outcomes, they have been widely used in solving real-world optimization problems, and in structuring stock or futures exchanges. Auctions also provide a very valuable testing-ground for economic theory, and they play an important role in computer-based control systems. Auction mechanism design aims to manipulate the rules of an auction in order to achieve specific goals. Economists traditionally use mathematical methods, mainly game theory, to analyze auctions and design new auction forms. However, due to the high complexity of auctions, the mathematical models are typically simplified to obtain results, and this makes it difficult to apply results derived from such models to market environments in the real world. As a result, researchers are turning to empirical approaches. This report aims to survey the theoretical and empirical approaches to designing auction mechanisms and trading strategies with more weights on empirical ones, and build the foundation for further research in the field

A Careful Examination of the Live Nation-Ticketmaster Merger

As great admirers of The Boss and as fans of live entertainment, we share in the popular dismay over rising ticket prices for live performances. But we have been asked as antitrust scholars to examine the proposed merger of Live Nation and Ticketmaster, and we do so with the objectivity and honesty called for by The Boss’s quotes above. The proposed merger has been the target of aggressive attacks from several industry commentators and popular figures, but the legal and policy question is whether the transaction is at odds with the nation’s antitrust laws. One primary source of concern to critics is that Ticketmaster and Live Nation are two leading providers of ticket distribution services, and these critics argue that the merged entity would have a combined market share that is presumptively anticompetitive. We observe, however, that this transaction is taking place within a rapidly changing industry. The spread of Internet technologies has transformed the entertainment industry, and along with it the ticket distribution business such that a reliance on market shares based on historical sales is misleading. A growing number of venues, aided by a competitive bidding process that creates moments of focused competition, can now acquire the requisite capabilities to distribute tickets to their own events and can thus easily forgo reliance upon providers of outsourced distribution services. If self-distribution is an available and attractive option for venues, as it appears to be, then it is unlikely that even a monopolist provider of fully outsourced ticketing services could exercise market power. Ultimately, a proper assessment of the horizontal effects of this merger would have to weigh heavily the emerging role of Internet technologies in this dynamic business and the industry-wide trend towards self-distribution. The second category of arguments by critics opposing the merger rests on claims that vertical aspects of the transaction would produce anticompetitive effects. Indeed, Ticketmaster’s and Live Nation’s core businesses are in successive markets, and thus the proposed transaction is primarily a vertical merger, but there is broad agreement among economists and antitrust authorities that vertical mergers rarely introduce competitive concerns and are usually driven by efficiency motivations. This wealth of academic scholarship, which is reflected in current antitrust law, has not - from our vantage point - been properly incorporated into the public dialogue concerning the proposed merger. To the contrary, critics articulate concerns, including the fears that the merger would lead to the leveraging of market power and the foreclosure of downstream competition, that are refuted by accepted scholarship. Moreover, there are a number of specific efficiencies that, consistent with economic and organizational theory, are likely to emerge from a Live Nation-Ticketmaster merger and would be unlikely but for the companies’ integration. For these reasons, we submit this analysis in an effort to inform the debate with current economic and legal scholarship

Ontology acquisition and exchange of evolutionary product-brokering agents

Agent-based electronic commerce (e-commerce) has been booming with the development of the Internet and agent technologies. However, little effort has been devoted to exploring the learning and evolving capabilities of software agents. This paper addresses issues of evolving software agents in e-commerce applications. An agent structure with evolution features is proposed with a focus on internal hierarchical knowledge. We argue that knowledge base of agents should be the cornerstone for their evolution capabilities, and agents can enhance their knowledge bases by exchanging knowledge with other agents. In this paper, product ontology is chosen as an instance of knowledge base. We propose a new approach to facilitate ontology exchange among e-commerce agents. The ontology exchange model and its formalities are elaborated. Product-brokering agents have been designed and implemented, which accomplish the ontology exchange process from request to integration

Evolving game theory based decision making systems for NETA power market modelling, analysis and trading strategy development

In this thesis, current work carried out on analyzing the strategic behaviours in electricity trading is first reviewed. An intelligent decision-making and support technique, game theory, is often used in the market practice. Game theory is a discipline concerned with how individuals make decisions when they are partly aware of how their action might affect each other and when each individual might take this into account. Deficiencies and limitations of traditional game theory based methods developed for decision-making in electricity trading are also investigated. This research then explores to discover the impact of intelligent systems based trading strategies in the UK power markets. To model these behaviours and the New Electricity Trading Arrangements (NETA) system of the UK, traditional competitive and cooperative game theory strategies are taken into account in the work reported in this thesis. An improved methodology, “trigger price strategy”, is introduced to simulate power generation companies’ enhanced gaming strategies. Such modelling problem is, however, intractable and hence an extra-numerical search technique, Evolutionary Computation, is employed to solve the game theory based system modelling problem. An encoded Genetic Algorithm based technique is developed to search for an effective model for the complex decision-making process and to help decision-makers evaluate their strategies and bidding parameters. A novel and effective electricity trading simulation model is thus developed, where its design features are close to the NETA. The model scale is as close as possible to NETA. A complex and more realistic two-sided transaction mechanism with demand fully incorporated is incorporated in this model. These are a world first in this research area

From supply chains to demand networks. Agents in retailing: the electrical bazaar

A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

Agent-Based Computational Economics

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Starting from initial conditions, specified by the modeler, the computational economy evolves over time as its constituent agents repeatedly interact with each other and learn from these interactions. ACE is therefore a bottom-up culture-dish approach to the study of economic systems. This study discusses the key characteristics and goals of the ACE methodology. Eight currently active research areas are highlighted for concrete illustration. Potential advantages and disadvantages of the ACE methodology are considered, along with open questions and possible directions for future research.Agent-based computational economics; Autonomous agents; Interaction networks; Learning; Evolution; Mechanism design; Computational economics; Object-oriented programming.

The Evolving Agricultural Marketplace: Selected Results and Implications for the West from the Laboratory

Marketing,