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

Research output: Contribution to journalConference articlepeer-review

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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.
Original languageEnglish
Article number1320612
Number of pages17
JournalProceedings of SPIE: The International Society for Optical Engineering
Volume13206
Publication statusPublished - 13 Nov 2024
EventArtificial Intelligence for Security and Defence Applications II - , United Kingdom
Duration: 17 Sept 202419 Sept 2024

Funding

This work was funded by Dstl under project number U129, contract number DSTL0000022661.

Keywords

  • vector symbolic architecture
  • hyperdimensional computing
  • edge intelligence
  • C5ISR
  • OODA

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