Theory

How could one model anything at all without the grasp of pre-specificity? This thesis holds the question and brings contribution with both theoretical arguments and its technical implementations by exploring BCI for architectural design in an interactive and generative fashion. The term ‘neural potential‘ used in the title conveys the idea by characterizing both a modality of information and its capacity for communication across natural and artificial modes. The thesis starts by synthesizing a sum of knowledge spanning the multiple fields of cognitive science and architecture to reveal how intimately linked they are by the duplicitous picture of computation and compositionality. It then develops arguments about the human mind’s untapped potential in composing under uncertainty from a ‘thing-in-the-world‘ to an ‘object-in-the-mind‘ and back to an ‘object-in-the-world‘.