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3D SpaceQuantumIndexation and Computation via VoxelNET to Enhance 3D Cognitive Systemisation

Authors:
Charlotte Sennersten
Craig Lindley

Keywords: Spatial Cognition; Voxelisation; Computation; Sensor Integration.

Abstract:
A global recursive equal-volume spatial quantization and indexation system can unify access to, use and volumetric computations across diverse fields to provide a volumetric evolution from the current 2D internet. A unifying spatial framework has been developed to demonstrate this alternative. The framework supports cognitive spatial analytics incorporating different datasets, advanced AI systems, human decision support, robotic and autonomous systems, and many other applications for which three-dimensional spatial structure is important. Domains in question can include a variety of sensor inputs, including environmental, physiological, neural, material, chemical, optical, locational (e.g. GPS and lidar), etc. Sensor data in diverse domains is used to create domain-specific models for analytics and decision support, and for models of human cognitive performance amenable to automated, machine implementations. The system includes a unified, hierarchical spatial quantization system with time series data and fixed, locational, and mobile volumetric structures. The framework supports data, information and knowledge management and can also be used to manage the distribution of computational loads. It can also support new computing paradigms, e.g. tracking the spatial locations of geographically dispersed computations linked by quantum entanglement.

Pages: 34 to 43

Copyright: Copyright (c) IARIA, 2020

Publication date: April 26, 2020

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-780-1

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020