Este trabajo, parte la hipótesis de que mejores niveles de inteligencia emocional, están asociados a mejores patrones de comunicación de tipo afectivo y a la adopción de un estilo parental eficiente. Se aplicó a una muestra de 468 padres de familia mexicanos, un cuestionario con preguntas de tipo sociodemográfico, el Trait Meta Mood Scale (TMMS-24) para evaluar la Inteligencia emocional percibida, la Escala de Normas y Exigencias (ENE-P) para identificar el estilo parental ejercido y la Escala de Afecto versión para padres (EA-P) que genera información sobre el tipo de comunicación que se establece entre padres e hijos. Los resultados muestran una sólida asociación entre las variables y una validez predictiva tanto de las habilidades emocionales como del tipo de comunicación en el ejercicio de un estilo parental inductivo. This paper tries the hypothesis that higher levels of emotional intelligence are associated with better patterns of affective communication and the adoption of effective parenting styles. Participants were 468 Mexican parents who answered a demographic questionnaire, the Trait Meta Mood Scale (TMMS-24) to assess perceived emotional intelligence. The same participants also took the Scale of Standards and Requirements to identify the parental style and the Scale of Affection to assess the communication style established between parents and children. The results indicate a strong association between the variables and the predictive validity of both emotional skills and communication styles in the adoption of inductive parenting styles.

The development of computational models that emulate human cognitive functions is challenging. Nevertheless, we think that cognitive systems will allow to correct several problems of behavior like credibility, or wrong behavior that occur in some areas such as: virtual reality, artificial life, autonomous agents, humanoid robots, human-computer interaction. In this paper we propose a biological inspired computational model for motor planning applied to virtual creatures. We present the results of a case study taken from Neurosciences to validate our model. Also, the flow of information in our model emulating the flow of information of the human brain is presented.