Simple “Market Value” Bargaining Model for Weighted Voting Games: Characterization and Limit Theorems

Feld, Grofman and Ray (2003) offer a bargaining model for weighted voting games that is a close relative of the nucleolus and the kernel. They look for a set of weights that preserves winning coalitions that has the property of minimizing the difference between the weight of the smallest and the weight of the largest Minimum Winning Coalition. They claim that such a set of weights provides an a priori measure of a weighted voter’s bribeworthiness or market value. Here, after reviewing the basic elements of their model, we provide a characterization result for this model and show its links to other bargaining model approaches in the literature. Then we offer some limit results showing that, with certain reasonable conditions on the distributions of weights, as the size of the voting body increases, the values of bribeworthiness we calculate will approach both the weights themselves and the Banzhaf scores for the weighted voting game. We also show that, even for relatively small groups using weighted voting, such as the membership of the European Council of Ministers (and its precedessors) 1958-2003, similarities among the usual a priori power scores, bribeworthiness/market value, and the weights themselves, will be quite strong

Bayesian Surprise in Indoor Environments

This paper proposes a novel method to identify unexpected structures in 2D floor plans using the concept of Bayesian Surprise. Taking into account that a person's expectation is an important aspect of the perception of space, we exploit the theory of Bayesian Surprise to robustly model expectation and thus surprise in the context of building structures. We use Isovist Analysis, which is a popular space syntax technique, to turn qualitative object attributes into quantitative environmental information. Since isovists are location-specific patterns of visibility, a sequence of isovists describes the spatial perception during a movement along multiple points in space. We then use Bayesian Surprise in a feature space consisting of these isovist readings. To demonstrate the suitability of our approach, we take "snapshots" of an agent's local environment to provide a short list of images that characterize a traversed trajectory through a 2D indoor environment. Those fingerprints represent surprising regions of a tour, characterize the traversed map and enable indoor LBS to focus more on important regions. Given this idea, we propose to use "surprise" as a new dimension of context in indoor location-based services (LBS). Agents of LBS, such as mobile robots or non-player characters in computer games, may use the context surprise to focus more on important regions of a map for a better use or understanding of the floor plan.Comment: 10 pages, 16 figure

Efficient Immunization Strategies for Computer Networks and Populations

We present an effective immunization strategy for computer networks and populations with broad and, in particular, scale-free degree distributions. The proposed strategy, acquaintance immunization, calls for the immunization of random acquaintances of random nodes (individuals). The strategy requires no knowledge of the node degrees or any other global knowledge, as do targeted immunization strategies. We study analytically the critical threshold for complete immunization. We also study the strategy with respect to the susceptible-infected-removed epidemiological model. We show that the immunization threshold is dramatically reduced with the suggested strategy, for all studied cases.Comment: Revtex, 5 pages, 4 ps fig

Decentralization in Bitcoin and Ethereum Networks

Blockchain-based cryptocurrencies have demonstrated how to securely implement traditionally centralized systems, such as currencies, in a decentralized fashion. However, there have been few measurement studies on the level of decentralization they achieve in practice. We present a measurement study on various decentralization metrics of two of the leading cryptocurrencies with the largest market capitalization and user base, Bitcoin and Ethereum. We investigate the extent of decentralization by measuring the network resources of nodes and the interconnection among them, the protocol requirements affecting the operation of nodes, and the robustness of the two systems against attacks. In particular, we adapted existing internet measurement techniques and used the Falcon Relay Network as a novel measurement tool to obtain our data. We discovered that neither Bitcoin nor Ethereum has strictly better properties than the other. We also provide concrete suggestions for improving both systems.Comment: Financial Cryptography and Data Security 201

Implications of Minority Interest and Stock Restrictions In Valuing Closely-Held Shares

The federal estate and gift taxes levy on the gratuitous transfer of wealth by both testamentary and lifetime disposition. The amount of the tax depends on the value placed on the property transferred by the decedent or donor. When the property transferred consists of shares of stock in a closely held corporation, there often exists no ready market to help in valuation. As a result, the value of the shares used to compute the federal estate or gift tax must be determined first by appraising the value of the enterprise, and then by allocating some portion of that value to the shares in question. Occasionally, the value placed on these shares will differ from the proportionate value of the enterprise represented by them. This article deals with two instances of such variation in value from the proportionate interest of the shares in the closely held enterprise. One concerns the minority position of the recipient relative to other stockholders. The other concerns shares which are not freely transferable. Since both of these factors limit the shareholder\u27s ability to realize fully on the value of the shares, a discount is frequently applied to such stock when computing gift and estate taxes

Divorce, Tax-Style

In response to the sham divorce tactic, the IRS recently issued Revenue Ruling 76-255. The author, professor of law at Boston University School of Law, although sympathetic with the IRS\u27s position in the Ruling, poin4s out situations where the divorce-remarriage may possibly be considered valid because of the existence of nontax effects