Abstract: The current disclosure provides methods and systems that can manage the dynamic-uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time.

Abstract: A hydrodynamic drag-modulation system for six-degrees-of-freedom (6-DoF) dynamic positioning (DP) of deep-sea payloads—including station-keeping and controlled translation of very large, submerged bodies—is introduced, wherein a distributed underwater swarm of vector-drag generating drones (tethered autonomous underwater vehicles or T-AUVs) leverages coordinated multi-agent control, independent of surface DP vessels and surface conditions. By commanding tether-retraction velocity and geometry of the drag-inducing elements, each drone agent functions as a virtual, relocatable bollard in three dimensions. Collectively, the swarm forms a virtual, dynamic dock around the payload, enabling both precision DP operations and long-range deep-sea transport missions. Furthermore, due to the non-propulsive, drag-modulation-based actuation principle, the system is inherently configurable for cavitation-free operation, thus suitable for industrial or scientific operations requiring low-acoustic-signature.

Abstract: The current disclosure provides methods and systems that can manage dynamic uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time.

Abstract: An adaptive web resource interaction system based on analogue referencing includes a computer implemented method, a computer system, and a non-transitory computer readable medium to provide an autonomous infrastructure that enables an automatically controlled interaction environment on web resources for both human and machine users, where the system dynamically adapts itself to contextual and/or structural alterations of each interacted web resource according to each rendering of a client individually.

Abstract: The current disclosure provides methods and systems that can manage the dynamic-uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time.