Individuals with antisocial behavior place a great physical and economic burden on society. Deficits in emotional processing have been recognized as a fundamental cause of antisocial behavior. Emerging evidence also highlights a significant contribution of attention allocation deficits to such behavior. A comprehensive literature search identified 12 studies that were eligible for inclusion in ...

Prosocial behavior requires expenditure of personal resources for the benefit of others, a fact that creates a "problem" when considering the evolution of prosociality. Models that address this problem have been developed, with emphasis typically placed on reciprocity. One model considers the advantages of being selective in terms of one's allocation of prosocial behavior so as to improve the c...

Equity issues have led many economists to re-consider their preference for conducting efficiency analyses with aggregated estimates of the benefits and costs of changes in environmental resource allocations. For instance, there is evidence that health risks due to hazardous wastes disproportionately affects the poor and non-white. Policies that lead to these disproportionate effects are not nec...

This paper investigates whether certain individuals are prone to behavioral biases in their 401(k) investments. Using demographic data and allocation information for over 73,000 employees, the biases examined include two “allocation biases” and a “participation bias.” The findings suggest that higher salaried employees tend to make significantly better choices. Participants earning $100,000 hol...

Motivated by recent findings that human mobility is proxy for crime behavior in big cities and that there is a superlinear relationship between the people’s movement and crime, this article aims to evaluate the impact of how these findings influence police allocation. More precisely, we shed light on the differences between an allocation strategy, in which the resources are distributed by clust...

The allocation of resources in networks is studied in the context of the influence model, a stochastic network model composed of interacting Markov chains. First, some new results regarding the influence model are presented. Next, a specific resource allocation problem is posed, and three different methods for allocating resource are described and analyzed. Both the structure of the resource al...

We propose a message-passing paradigm for resource allocation problems. This is a framework for decentralized management that generalizes price-based systems by allowing incentives to vary across activities and consumption levels. Message-based incentives are defined through a new equilibrium concept. We demonstrate that message-based incentives lead to systemoptimal behavior for convex resourc...

Bandwidth Allocation Models (BAMs) are used in order to define Bandwidth Constraints (BCs) in a perclass basis for MPLS/DS-TE networks and effectively define how network resources like bandwidth are obtained and shared by applications. The BAMs proposed (MAM – Maximum Allocation Model, RDM – Russian Dolls Model, G-RDM – Generic RDM and AllocTC-Sharing) attempt to optimize the use of bandwidth r...

Space allocation is a fundamental operation performed by a database management system (DBMS) when it inserts a record into a table. A good space allocation algorithm quickly locates and reserves enough space for a record, places it closer to its related records, and utilizes the available space. Satisfying these conflicting requirements is challenging and trade-offs are carefully balanced by we...

Bandwidth Allocation Models (BAMs) configure and handle resource allocation (bandwidth, LSPs, fibre) in networks in general (IP/MPLS/DS-TE, optical domain, other). BAMs currently available for IP/MPLS/DS-TE networks (MAM, RDM, G-RDM and AllocTC-Sharing) basically define resource restrictions (bandwidth) by “class” (traffic class, application ś class, user ś class or other grouping criteria) and...