Evaluation of the effectiveness of an organization in the field of brand perception using a computer agent-based simulation system

Este proyecto de investigación busca usar un sistema de cómputo basado en modelación por agentes para medir la percepción de marca de una organización en una población heterogénea. Se espera proporcionar información que permita dar soluciones a una organización acerca del comportamiento de sus consumidores y la asociada percepción de marca. El propósito de este sistema es el de modelar el proceso de percepción-razonamiento-acción para simular un proceso de razonamiento como el resultado de una acumulación de percepciones que resultan en las acciones del consumidor. Este resultado definirá la aceptación de marca o el rechazo del consumidor hacia la empresa. Se realizó un proceso de recolección información acerca de una organización específica en el campo de marketing. Después de compilar y procesar la información obtenida de la empresa, el análisis de la percepción de marca es aplicado mediante procesos de simulación. Los resultados del experimento son emitidos a la organización mediante un informe basado en conclusiones y recomendaciones a nivel de marketing para mejorar la percepción de marca por parte de los consumidores.

Application of agent-based modeling to the study of gender stereotypes

Gender stereotypes are sets of characteristics that people believe to be typically true of a man or woman. We report an agent-based model (ABM) that simulates how stereotypes disseminate in a group through associative mechanisms. The model consists of agents that carry one of several different versions of a stereotype, which share part of their conceptual content. When an agent acts according to his/her stereotype, and that stereotype is shared by an observer, then the latter’s stereotype strengthens. Contrarily, if the agent does not act according to his/ her stereotype, then the observer’s stereotype weakens. In successive interactions, agents develop preferences, such that there will be a higher probability of interaction with agents that confirm their stereotypes. Depending on the proportion of shared conceptual content in the stereotype’s different versions, three dynamics emerge: all stereotypes in the population strengthen, all weaken, or a bifurcation occurs, i.e., some strengthen and some weaken. Additionally, we discuss the use of agent-based modeling to study social phenomena and the practical consequences that the model’s results might have on stereotype research and their effects on a community

Preliminary Study on Safety Conditions in Health Workers Exposed to Antineoplastic Drugs

A study was done to establish work practices and preventive measures for nurses handling antineoplasticdrugs (AND) and to determine the risk of developing AND-related symptoms. A descriptive cross sectional study was made. Workers from 5 health centers in Valencia, Venezuela, were selected. Demography, occupational and clinical history, shift, work practices, safety precautions, antineoplastic drugs used, residues disposal and life styles were obtained via a questionnaire. Most prevalent symptoms were adjusted for age, shift, and smoking. Age was significant for cough and dizziness; smoking was significant for abdomipo seleccionado de trabajadores que manejan FAN en cinco centros de salud de la ciudad de Valencia, Venezuela, con el propósito de evaluar de forma preliminar su riesgo potencial de desarrollar signos-síntomas derivados de este oficio; a su vez, establecer si existe la necesidad de continuar con una evaluación más profunda que permita hacer recomendaciones concluyentes para evitar sus efectos adversos. Metodología La población estuvo constituida por el personal de las unidades de oncología de cinco centros de salud de la ciudad de Valencia, Venezuela. La muestra la conformaron veinte trabajadores que pertenecen a dichos centros. La participación fue voluntaria y mediante firma de una carta de consentimiento. Recolección de datos Se realizó una entrevista a cada participante con información que hizo referencia a datos demográficos, historia ocupacional, turnos de trabajo, entrenamiento en medidas de seguridad para el manejo de este tipo de fármacos, actividades que realizan, uso de equipos de protección personal (EPP), sitio de manipulación de nal pain and shift was significant for nausea and cough. Nauseas were the most prevalent symptom (55%). Dizziness was directly associated with use of gowns and inversely half-face respirator. None of the studied centers had satisfactory working conditions. A follow up study should be made including physical exam and environmental and biological monitoring.

The High Education Teacher, an Agent of Moral Development

The article shows the classroom like an workplace to move moral development, from the relationship between students and professors in the university atmosphere. It proposes elements to take to the practice the ethics education a transverse curriculum line. It assumes the ethics, from a plural perspective, founded on the knowledge and the human action. It joins the integral formation with the conceptions of education, curriculum, pedagogical models and methodologies of education. It proposes actions to demonstrate the commitment of the professor with the integral formation. Finally, concludes that the professor is agent of moral development and that in the classroom is constructed: identity, autonomy and responsibility, from open and plural relation between professors and students and between these and the knowledge.

An artificial economy based on reinforcement learning and agent based modeling

In this paper, we employ techniques from artificial intelligence such as reinforcement learning and agent based modeling as building blocks of a computational model for an economy based on conventions. First we model the interaction among firms in the private sector. These firms behave in an information environment based on conventions, meaning that a firm is likely to behave as its neighbors if it observes that their actions lead to a good pay off. On the other hand, we propose the use of reinforcement learning as a computational model for the role of the government in the economy, as the agent that determines the fiscal policy, and whose objective is to maximize the growth of the economy. We present the implementation of a simulator of the proposed model based on SWARM, that employs the SARSA(λ) algorithm combined with a multilayer perceptron as the function approximation for the action value function.