Publication briefs
Publication type: Report
Authors: Rui A. P. Perdigão, and Julia Hall
Date: 2024, March 26th
Title: Synergistic Manifolds System-of-Systems Intelligence
DOI: https://doi.org/10.46337/240326
Indexed: Yes (Crossref)
Cite as: Perdigão, R.A.P.; Hall, J. (2024): Synergistic Manifolds System-of-Systems Intelligence. https://doi.org/10.46337/240326
Methodological Keywords: Systems Intelligence, Information Physics, Information Theory, Complex Systems, Mathematical Physics, Quantum Thermodynamics, Quantum Electrodynamics, Quantum Technologies, Quantum Gravitation.
Applied Keywords: Multi-Hazards, Risk, Resilience, Aerospace Engineering, Big Data Analytics, Artificial Intelligence, Physical Intelligence, Machine Learning, Natural Hazards, Extreme Events, Quantum Information Technologies, Quantum Satellites, Quantum Constellation, Quantum Interferometry, Quantum Sensing.
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Part of this work, ranging from methodological foundations and technological developments to geophysical applications, is presented at the European Geosciences Union (EGU) General Assembly 2024 in Vienna, Austria. There, after providing an overview on our Synergistic Manifolds SoS Intelligence, we focus on one of its key components, termed Information Physical Quantum Technological Intelligence (IPQuTI), further empowering next-generation innovation and service workflows from sensing to computing, communications and security across multissectorial theatres of operation.
As noted in our EGU abstract (Perdigão and Hall 2024), methodologically, we build a novel synergistic dynamic interface among the novel augmented sensing technologies in our Quantum Aerospace Systems Intelligence (QuASI), the enhanced complex system dynamic analytics and model design methodologies in our latest Information Physical Artificial Intelligence (IPAI, Perdigão 2020A) and Earth System Dynamic Intelligence (ESDI, Perdigão 2021), and the latest computational developments in our Synergistic Nonlinear Quantum Wave Intelligence Networks (SynQ-WIN, Perdigão and Hall 2023).
With multi-hazard system dynamic complexity across diverse interacting geospheres and space in mind, we leverage and further build on our Meteoceanics QITES Constellation (Perdigão 2020B) to tackle critical intelligence and security challenges to improve crucial awareness, understanding, preparedness and resilience in the face of pressing challenges facing our environment and society.
Operationally, our technologies are developed in-house and deployed across an infrastructural ecosystem on Earth and in Space. In doing so, we produce an integrated synergistic platform to support scientific, technical, management and security forces across challenging theaters of operation. From prediction and detection of early warning signs of hazards and multi-hazards, to processing and relaying complex sensitive information in a swift, secure manner across environmental and security value chains.
- Perdigão R.A.P. (2021): Earth System Dynamic Intelligence – ESDI. https://doi.org/10.46337/esdi.210414
- Perdigão R.A.P. (2020A): Information Physical Artificial Intelligence in Complex System Dynamics: Breaking Frontiers in Nonlinear Analytics, Model Design and Socio-Environmental Decision Support in a Coevolutionary World. https://doi.org/10.46337/200930
- Perdigão R.A.P. (2020B): QITES – Quantum Information Technologies in the Earth Sciences. https://doi.org/10.46337/qites.200628
- Perdigão R.A.P. (2024): Strengthening Multi-Hazard Resilience with Quantum Aerospace Systems Intelligence. https://doi.org/10.46337/240301
- Perdigão R.A.P., and Hall J. (2023): Synergistic Nonlinear Quantum Wave Intelligence Networks (SyNQ-WIN). https://doi.org/10.46337/240118
- Rui A. P. Perdigão; Julia Hall (2024) Information Physical Quantum Technological Intelligence (IPQuTI) for Global High-Resolution Anticipatory Multi-Hazard Sensing, Modelling and Decision Support. https://doi.org/10.5194/egusphere-egu24-5308
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