Publicado en Lecture Notes in Computer Science Abstract Goal-oriented human-machine situation-awareness systems focus on the challenges related to perception of the elements of an environment and their state, within a time-space window, the comprehension of their meaning and the estimation of their state in the future. Present computer-supported situation awareness systems provide real-time information fusion from different sources, basic data analysis and recognition, and presentation of the corresponding data using some augmented reality principles. However, a still open research challenge is to develop advanced supervisory systems, platforms and frameworks that support higher-level cognitive activities, integrate domain specific associated knowledge, learning capabilities and decision support. To address these challenges, a novel cognitive architecture framework is presented in this paper, which emphasizes the role of the Associated Reality as a new cognitive lay
GAVAB es un grupo multidisciplinar formado por profesores de la Universidad Rey Juan Carlos que recoge diferentes líneas de investigación encuadradas en el área de conocimiento de las Ciencias de la Computación y de la Inteligencia Artificial.