Towards Distributed Statistical Processing — Aquarium: A Query and Reflection Interaction Using Magic: Mathematical Algorithms Generating Interdependent Confidences

The examination of inherent defects in classical computing structures leads to the proposition of an intuitive computational machine based on distributed statistical processing. The implications of distributed processing and inter-model statistics are considered, and the usual fundamental requirement for computational inversion is discounted. A possible form of primary relational database is proposed, and the possibilities of differential model-fit mapping and the auto-generation of model rules are suggested. The desirable decomposition of computation into interrelational and decision-making processes presupposes an intermediate structure capable of linking the two in a bi-directional communicative manner. We propose a query-reflection architecture to achieve this and describe its required characteristics. The pseudo-implementation of such a structure demands a statistical treatment of the combination of counter-propagating data and knowledge, which suggests a new approach to the design of fast optical computers.