This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
Navigation in computer generated information spaces may be difficult, resulting in users getting “lost in hyperspace.” This work aims to build on research from the area of ci...
In the paper the idea is presented that emotions are the result of a high dimensional optimization process happening in the unconscious mapped onto the low dimensional conscious. I...
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
In mostcases natural languageprocessingis seen as an isolated cognitive capability of a system. Languageunderstandingis often restricted to the mappingof natural languageexpressio...