Presentation + Paper
13 November 2024 The transformative potential of vector symbolic architecture for cognitive processing at the network edge
Graham Bent, Cai Davies, Marc Roig Vilamala, Yuhua Li, Alun Preece, Alex Vicente Sola, Gaetano Di Caterina, Paul Kirkland, Benomy Tutcher, Gavin Pearson
Author Affiliations +
Abstract
Vector Symbolic Architecture (VSA), a.k.a. Hyperdimensional Computing (HDC) has transformative potential for advancing cognitive processing capabilities at the network edge. This paper examines how this paradigm offers robust solutions for AI and Autonomy within a future command, control, communications, computers, cyber, intelligence, surveillance and reconnaissance (C5ISR) enterprise by effectively modelling the cognitive processes required to perform Observe, Orient, Decide and Act (OODA) loop processing. The paper summarises the theoretical underpinnings, operational efficiencies, and synergy between VSA and current AI methodologies, such as neural-symbolic integration and learning. It also addresses major research challenges and opportunities for future exploration, underscoring the potential for VSA to facilitate intelligent decision-making processes and maintain information superiority in complex environments. The paper intends to serve as a cornerstone for researchers and practitioners to harness the power of VSA in creating next-generation AI applications, especially in scenarios that demand rapid, adaptive, and autonomous responses.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Graham Bent, Cai Davies, Marc Roig Vilamala, Yuhua Li, Alun Preece, Alex Vicente Sola, Gaetano Di Caterina, Paul Kirkland, Benomy Tutcher, and Gavin Pearson "The transformative potential of vector symbolic architecture for cognitive processing at the network edge", Proc. SPIE 13206, Artificial Intelligence for Security and Defence Applications II, 1320612 (13 November 2024); https://doi.org/10.1117/12.3030949
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KEYWORDS
Machine learning

Artificial intelligence

Vector spaces

Semantics

Sensors

Data processing

Decision making

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