Education, Utilitarianism, and Equality of Opportunity

We analyze in this paper the impact of different policies on the investment of the families in the education of their children. Families make decisions on the level of human capital of their offsprings regarding the future income that this capital entails (under the assumption that higher education levels yield higher expected income). The families' optimal investment in education depends on their preferences (summarized by their time discount and risk aversion parameters) and their circumstances (initial wealth, parents' education, and children' natural abilities). The public authority designs a balanced tax/subsidy scheme in order to maximize aggregate welfare. We compare the case of a purely utilitarian planner with one that cares about the equality of opportunity.Equality of Opportunity, Investment in Education, Policy design

Hybrid classical-quantum computing: are we forgetting the classical part in the binomial?

The expectations arising from the latest achievements in the quantum computing field are causing that researchers coming from classical artificial intelligence to be fascinated by this new paradigm. In turn, quantum computing, on the road towards usability, needs classical procedures. Hybridization is, in these circumstances, an indispensable step but can also be seen as a promising new avenue to get the most from both computational worlds. Nonetheless, hybrid approaches have now and will have in the future many challenges to face, which, if ignored, will threaten the viability or attractiveness of quantum computing for real-world applications. To identify them and pose pertinent questions, a proper characterization of the hybrid quantum computing field, and especially hybrid solvers, is compulsory. With this motivation in mind, the main purpose of this work is to propose a preliminary taxonomy for classifying hybrid schemes, and bring to the fore some questions to stir up researchers minds about the real challenges regarding the application of quantum computing.Comment: 2 pages, 1 figure, paper accepted for being presented in the upcoming IEEE International Conference on Quantum Computing and Engineering - IEEE QCE 202

Education, Utilitarianism, and Equality of Opportunity

We analyze in this paper the impact of different policies on the investment of the families in the education of their children. Families make decisions on the level of human capital of their offsprings regarding the future income that this capital entails (under the assumption that higher education levels yield higher expected income). The families' optimal investment in education depends on their preferences (summarized by their time discount and risk aversion parameters) and their circumstances (initial wealth, parents' education, and children' natural abilities). The public authority designs a balanced tax/subsidy scheme in order to maximize aggregate welfare. We compare the case of a purely utilitarian planner with one that cares about the equality of opportunity

Education, Utilitarianism, and Equality of Opportunity

We analyze in this paper the impact of different policies on the investment of the families in the education of their children. Families make decisions on the level of human capital of their offsprings regarding the future income that this capital entails (under the assumption that higher education levels yield higher expected income). The families' optimal investment in education depends on their preferences (summarized by their time discount and risk aversion parameters) and their circumstances (initial wealth, parents' education, and children' natural abilities). The public authority designs a balanced tax/subsidy scheme in order to maximize aggregate welfare. We compare the case of a purely utilitarian planner with one that cares about the equality of opportunity

Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems

The nature of wireless propagation may reduce the QoS of the applications, such that some packages can be delayed or lost. For this reason, the design of wireless control applications must be faced in a holistic way to avoid degrading the performance of the control algorithms. This paper is aimed at improving the reliability of wireless control applications in the event of communication degradation or temporary loss at the wireless links. Two controller levels are used: sophisticated algorithms providing better performance are executed in a central node, whereas local independent controllers, implemented as back-up controllers, are executed next to the process in case of QoS degradation. This work presents a reliable strategy for switching between central and local controllers avoiding that plants may become uncontrolled. For validation purposes, the presented approach was used to control a planar robot. A Fuzzy Logic control algorithm was implemented as a main controller at a high performance computing platform. A back-up controller was implemented on an edge device. This approach avoids the robot becoming uncontrolled in case of communication failure. Although a planar robot was chosen in this work, the presented approach may be extended to other processes. XBee 900 MHz communication technology was selected for control tasks, leaving the 2.4 GHz band for integration with cloud services. Several experiments are presented to analyze the behavior of the control application under different circumstances. The results proved that our approach allows the use of wireless communications, even in critical control applications.This research was funded by the Basque Government through the project EKOHEGAZ (ELKARTEK KK-2021/00092), by Diputación Foral de Álava (DFA) through the project CONAVANTER, and by UPV/EHU through the project GIU20/063