The transformative potential of vector symbolic architecture for cognitive processing at the network edge

Bent, Graham A., Davies, Cai, Roig Vilamala, Marc, Li, Yuhua ORCID: https://orcid.org/0000-0003-2913-4478, Preece, Alun D. ORCID: https://orcid.org/0000-0003-0349-9057, Sola, Alex V., Di Caterina, Gaetano, Kirkland, Paul, Tutcher, Benomy, Pearson, Gavin, Bouma, Henri, Yitzhaky, Yitzhak, Prabhu, Radhakrishna and Kuijf, Hugo J. 2024. The transformative potential of vector symbolic architecture for cognitive processing at the network edge. Presented at: Security and Defence 2024, Edinburgh, Scotland, 16-20 September 2024. Proceedings Artificial Intelligence for Security and Defence Applications II. , vol.13206 SPIE, 10.1117/12.3030949

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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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics Research Institutes & Centres > Crime and Security Research Institute (CSURI)
Publisher:	SPIE
ISBN:	9781510681200
Funders:	Dstl
Date of First Compliant Deposit:	4 March 2025
Date of Acceptance:	1 July 2024
Last Modified:	06 Apr 2025 01:45
URI:	https://orca.cardiff.ac.uk/id/eprint/175868

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