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.

Estudio Costo-Efectividad de Lidocaína tópica como adyuvante a Pregabalina y Gabapentina en dolor neuropático periférico en una I.P.S de Bogotá 2011.

Introducción: el dolor neuropático es una patología de considerable prevalencia e impacto socio-económico en la población latinoamericana, la evidencia clínica sugiere que los ligandos de canales de calcio y el parche de Lidocaína pueden tratar exitosamente el dolor neuropático periférico y localizado. Metodología: se realizo una evaluación económica tipo costo-efectividad, observacional y retrospectiva con datos extraídos de las historias clínicas de pacientes atendidos en la clínica de dolor de la IPS. La variable primaria de efectividad fue la mejoría del dolor medida mediante escala visual análoga. Resultados: se estudiaron 94 pacientes tratados con: Gabapentina (G) 21, Pregabalina (P) 24, Gabapentina+ lidocaína (G/P) 24, Pregabalina + Lidocaína (P/L) 25, los costos asociados al tratamiento son los siguientes COP$114.070.835, COP$105.855.920, COP$88.717.481 COP$89.854.712 respectivamente, el número de pacientes con mejoría significativa de dolor fue: 8,10,9 y 21 pacientes respectivamente. El ICER de G/L con respecto a G fue: COP$ -25.353.354. El ICER de P/L con respecto a P fue: COP$ -1.454.655. Conclusiones: la adición del parche de lidocaína a la terapia regular con P/L represento una disminución de consumo de recursos en salud como uso de medicamentos co-analgésicos, analgésicos de rescate y fármacos para controlar reacciones adversas, de la misma forma que consultas a profesionales de la salud. Cada paciente manejado con P/L representa un ahorro de COP $1.454.655 al contrario si se manejase con el anticonvulsivante de manera exclusiva, en el caso de G/L este ahorro es de COP $ 25.353.354 frente a G sola.

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

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.

New Generation Antidepressants in Painful Diabetic Neuropathy

The incidence of diabetic neuropathy increases with the duration of diabetes and the degree of hyperglycaemia. Pain is one of the most common and incapacitating symptoms of diabetic neuropathy and its pharmacological control is complex. The effectiveness of antidepressive agents has been described in different types of neuropathic pain, but their effectiveness, when used as analgesics in painful diabetic neuropathy, still remains controversial. Objective: To review the possible role of new-generation antidepressive agents in the treatment of pain in diabetic peripheral neuropathy. This work has thus consisted of a meta-analysis for determining which antidepressive agent had the best analgesic potential in managing pain in patients suffering from painful diabetic neuropathy. Methods: This search covered the Cochrane, MEDLINE, EMBASE and LILACS databases, between January 2000 and August 2007. The following information was obtained from each article: criteria for diagnosing diabetic neuropathy, patients' age average, antidepressant drug received and dose, sample size, duration of the disease and treatment follow-up, outcome measurement, evaluation of pain and rescue medication. Results: A combined RR: 1.67 (95% CI 1.38 - 2.02) was obtained; this result indicated that the antidepressive agent duloxetine, was effective for controlling pain in diabetic neuropathy. The corresponding NNT for Duloxetine was established, according to our interests; NNT = 6 (95% CI 5- 8) for achieving greater than 50% analgesia in patients suffering from painful diabetic neuropathy. Discussion: Antidepressive agents are frequently employed in the specific case of diabetic neuropathy; their analgesic benefit has been demonstrated.

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.