Emotions and the Engineering of Adaptiveness in Complex Systems

A major challenge in the engineering of complex and critical systems is the management of change, both in the system and in its operational environment. Due to the growing of complexity in systems, new approaches on autonomy must be able to detect critical changes and avoid their progress towards undesirable states. We are searching for methods to build systems that can tune the adaptability protocols. New mechanisms that use system-wellness requirements to reduce the influence of the outer domain and transfer the control of uncertainly to the inner one. Under the view of cognitive systems, biological emotions suggests a strategy to configure value-based systems to use semantic self-representations of the state. A method inspired by emotion theories to causally connect to the inner domain of the system and its objectives of wellness, focusing on dynamically adapting the system to avoid the progress of critical states. This method shall endow the system with a transversal mechanism to monitor its inner processes, detecting critical states and managing its adaptivity in order to maintain the wellness goals. The paper describes the current vision produced by this work-in-progress.

Emotions and the Engineering of Adaptiveness in Complex Systems

A major challenge in the engineering of complex and critical systems is the management of change, both in the system and in its operational environment. Due to the growing of complexity in systems, new approaches on autonomy must be able to detect critical changes and avoid their progress towards undesirable states. We are searching for methods to build systems that can tune the adaptability protocols. New mechanisms that use system-wellness requirements to reduce the influence of the outer domain and transfer the control of uncertainly to the inner one. Under the view of cognitive systems, biological emotions suggests a strategy to configure value-based systems to use semantic self-representations of the state. A method inspired by emotion theories to causally connect to the inner domain of the system and its objectives of wellness, focusing on dynamically adapting the system to avoid the progress of critical states. This method shall endow the system with a transversal mechanism to monitor its inner processes, detecting critical states and managing its adaptivity in order to maintain the wellness goals. The paper describes the current vision produced by this work-in-progress.

Las mujeres adultas en España como mercado potencial de clientas y usuarias de servicios deportivos

Antes del inicio de la actual crisis económica, en Europa y España, se constataba la existencia de 2 mundos deportivos diferentes (EC, 2011): las mujeres practican principalmente en organizaciones privado-comerciales actividades dirigidas (EC, 2011) dentro de un modelo de práctica wellness (Martínez del Castillo et al., 2005), mientras que los hombres preferían la práctica auto-organizada de deportes de resistencia, equipo o extremos (EC, 2011). Sin embargo, en España, durante la actual crisis económica, la práctica autónoma es mayoritaria en ambos sexos. Esta se ha incrementado en hombres y mujeres, pero de manera más importante entre las mujeres adultas entre 30 y 64 años (Martín, 2014).

Modelización del ruido de ocio: terrazas y veladores

El ruido de ocio que se produce hoy en día, es un problema de salud y de bienestar en la vida de las personas. Sin embargo, no existen modelos que ayuden a prever los problemas que puedan ocasionar. Este proyecto es el primer paso en la creación de estos modelos, centrándose en terrazas y veladores. Los objetivos principales del proyecto son la creación de una base de datos de ruidos de terrazas y la definición de una metodología para la estimación de la potencia que emiten. Para alcanzar estos objetivos, será necesario, en primer lugar, seleccionar una serie de terrazas en las que llevar a cabo las mediciones, definir el método de cálculo y llevar a cabo las mismas. Cuando se alcanza este punto, llega el momento de estudiar los distintos escenarios que han tenido lugar durante la etapa de medidas para poder simularlos en un software de estimación acústica que sea capaz de recrearlos. Si se siguen estos pasos, se podrá saber cuáles son los valores de potencia acústica de las terrazas estudiadas así como las características de emisión de ruido. Creada la base de datos y definida la metodología para la estimación de potencia acústica emitida por terrazas, se analizan los resultados llegando a la conclusión de que el nivel de potencia acústica depende del número de personas en la terraza y las mesas ocupadas, aunque es difícil ver la relación exacta. También se llega a la conclusión de que las terrazas suelen tener un nivel estable de potencia acústica que tiene un valor promedio de entre 76dBA y 78dBA. ABSTRACT. Nowadays, leisure noise is a health and wellness problem in the lives of people. However, there are no models that help anticipate problems that may arise. This project is the first step to creating these models, focusing on terraces. The main objectives are the creation of a database of noise made by terraces and the definition of a methodology for estimating the noise level. To achieve these objectives, it is necessary, first, selecting a series of terraces where measure, define the calculation method and perform the measures. When this point is reached, it is time to study the different scenarios that have taken place during the period of measures to simulate them with an acoustic estimation software that is able to recreate them. If you follow these steps, you will know the values of sound power of the terraces studied as well as noise emission characteristics. Created the database and defined the methodology for estimation of acoustic power emitted by terraces, you can see that the sound power level depends on the number of people on the terrace and tables occupied, although it is difficult see the exact relationship. You also can conclude that the terraces usually have a stable sound power level which has an average value of between 76 dBA and 78dBA.