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

Bent, Graham and Davies, Cai and Roig Vilamala, Marc and Li, Yuhua and Preece, Alun and Vicente Sola, Alex and Di Caterina, Gaetano and Kirkland, Paul and Tutcher, Benomy and Pearson, Gavin; (2024) The transformative potential of vector symbolic architecture for cognitive processing at the network edge. In: SPIE Sensors + Imaging. SPIE, GBR. (In Press)

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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.

ORCID iDs

Bent, Graham, Davies, Cai, Roig Vilamala, Marc, Li, Yuhua, Preece, Alun, Vicente Sola, Alex ORCID logoORCID: https://orcid.org/0000-0002-2370-6562, Di Caterina, Gaetano ORCID logoORCID: https://orcid.org/0000-0002-7256-0897, Kirkland, Paul ORCID logoORCID: https://orcid.org/0000-0001-5905-6816, Tutcher, Benomy and Pearson, Gavin;
CORE (COnnecting REpositories)