A Methodological Toolkit to Reform Payment Systems: An Example of Applied Cost-Benefit Analysis

In principle, a careful evaluation of costs and benefits should be a wise rule for everyone who has to take any important decision. In particular, it is very important when a payment system reform is at stake. Since many stakeholders are involved in a payment system reform, the final decisions are going to be the result of several cost-benefit analyses and of “negotiation” among economic agents, in particular system providers, system participants, and end users. In this paper we will only focus on cost-benefit analysis, providing both theoretical guidelines and numerical examples. We conclude that past evaluations of payment system reforms mainly focused on qualitative assessments, hence overlooking quantitative ones. So, we suggest that it would be worthy for international institutions to spend some efforts to build, manage and make available to all countries a database on payments systems, with both relevant data and methods to assess costs and benefits

Lightweight Blockchain Framework for Location-aware Peer-to-Peer Energy Trading

Peer-to-Peer (P2P) energy trading can facilitate integration of a large number of small-scale producers and consumers into energy markets. Decentralized management of these new market participants is challenging in terms of market settlement, participant reputation and consideration of grid constraints. This paper proposes a blockchain-enabled framework for P2P energy trading among producer and consumer agents in a smart grid. A fully decentralized market settlement mechanism is designed, which does not rely on a centralized entity to settle the market and encourages producers and consumers to negotiate on energy trading with their nearby agents truthfully. To this end, the electrical distance of agents is considered in the pricing mechanism to encourage agents to trade with their neighboring agents. In addition, a reputation factor is considered for each agent, reflecting its past performance in delivering the committed energy. Before starting the negotiation, agents select their trading partners based on their preferences over the reputation and proximity of the trading partners. An Anonymous Proof of Location (A-PoL) algorithm is proposed that allows agents to prove their location without revealing their real identity. The practicality of the proposed framework is illustrated through several case studies, and its security and privacy are analyzed in detail

Game Theoretic Approaches to Massive Data Processing in Wireless Networks

Wireless communication networks are becoming highly virtualized with two-layer hierarchies, in which controllers at the upper layer with tasks to achieve can ask a large number of agents at the lower layer to help realize computation, storage, and transmission functions. Through offloading data processing to the agents, the controllers can accomplish otherwise prohibitive big data processing. Incentive mechanisms are needed for the agents to perform the controllers' tasks in order to satisfy the corresponding objectives of controllers and agents. In this article, a hierarchical game framework with fast convergence and scalability is proposed to meet the demand for real-time processing for such situations. Possible future research directions in this emerging area are also discussed

Human-Agent Decision-making: Combining Theory and Practice

Extensive work has been conducted both in game theory and logic to model strategic interaction. An important question is whether we can use these theories to design agents for interacting with people? On the one hand, they provide a formal design specification for agent strategies. On the other hand, people do not necessarily adhere to playing in accordance with these strategies, and their behavior is affected by a multitude of social and psychological factors. In this paper we will consider the question of whether strategies implied by theories of strategic behavior can be used by automated agents that interact proficiently with people. We will focus on automated agents that we built that need to interact with people in two negotiation settings: bargaining and deliberation. For bargaining we will study game-theory based equilibrium agents and for argumentation we will discuss logic-based argumentation theory. We will also consider security games and persuasion games and will discuss the benefits of using equilibrium based agents.Comment: In Proceedings TARK 2015, arXiv:1606.0729

Consensus-based approach to peer-to-peer electricity markets with product differentiation

With the sustained deployment of distributed generation capacities and the more proactive role of consumers, power systems and their operation are drifting away from a conventional top-down hierarchical structure. Electricity market structures, however, have not yet embraced that evolution. Respecting the high-dimensional, distributed and dynamic nature of modern power systems would translate to designing peer-to-peer markets or, at least, to using such an underlying decentralized structure to enable a bottom-up approach to future electricity markets. A peer-to-peer market structure based on a Multi-Bilateral Economic Dispatch (MBED) formulation is introduced, allowing for multi-bilateral trading with product differentiation, for instance based on consumer preferences. A Relaxed Consensus+Innovation (RCI) approach is described to solve the MBED in fully decentralized manner. A set of realistic case studies and their analysis allow us showing that such peer-to-peer market structures can effectively yield market outcomes that are different from centralized market structures and optimal in terms of respecting consumers preferences while maximizing social welfare. Additionally, the RCI solving approach allows for a fully decentralized market clearing which converges with a negligible optimality gap, with a limited amount of information being shared.Comment: Accepted for publication in IEEE Transactions on Power System

Law Firm Selection and the Value of Transactional Lawyering

Following the contraction in demand for law firms’ services during the Great Recession, “Big Law” was widely diagnosed as suffering from several maladies that would spell its ultimate demise, including excessive fees, excessive size, increased competition from in-house counsel, the commoditization of legal work, and the decline in demand for “relationship firms.” While each of these market pressures is only too real for certain segments of the law-firm population, their threat to the most elite U.S. law firms has been largely misunderstood. Even as many firms reduce their fees and contract in size, we should expect certain firms to continue to charge more and grow bigger. The current prescriptions for fixing Big Law fail to recognize that the top-tier firms within the group serve a unique market function. Focusing on a particular type of legal work – major corporate transactions – this Article proposes a novel theory of the value created by elite law firms: their private information about “market” deal terms, acquired through repeated exposure to the same types of transactions, provides clients with a significant bargaining advantage in deal negotiations. By aggregating expertise in the ever-changing and ever-increasing set of deal terms for certain transactions, law firms help their clients price such terms more accurately and thereby maximize their surplus from the deal. This pricing function – traditionally thought to be limited to investment banks – is one that cannot be replicated or subsumed by in-house counsel, other service providers, or commoditized contracts