Publication | Open Access
Comprehending distributed worlds with the Spatial Grasp Paradigm
31
Citations
10
References
2022
Year
EngineeringSg PhilosophySpatial TechnologySocial SciencesSpatialtemporal ReasoningData ScienceVirtual RealityDistributed EnvironmentSystems EngineeringRobot LearningDistributed ObjectSpatial GraspCognitive ScienceDistributed Space SystemsDistributed SystemsComputer ScienceWorld ModelSpatial ComputingSpatial Grasp ParadigmSpatial Grasp LanguageSpatial Cognition
This paper relates to the developed Spatial Grasp (SG) Paradigm for solving complex problems in a holistic and fully distributed way. It presents the results of its further development in two interlinked directions: philosophical-conceptual and technological-implementational. In the first direction, there are discussed the details of how SG develops in distributed spaces as waves or even viruses and how grasps at the same time solutions of spatial problems, also how it fundamentally differs from traditional representations of systems and their solutions as parts exchanging messages. The SG philosophy also resembles higher concepts like perception, awareness, consciousness, and even soul. In the other direction, the resultant Spatial Grasp Technology details are briefed where its Spatial Grasp Language (SGL) interpreters can be networked as spatial computers covering any terrestrial and celestial environments. Distributed interpretation mechanisms of basic SGL constructs are discussed in detail, allowing for the implementation of spatial functionality without centralized resources. The paper also provides examples of fully distributed SGL solutions for observing and evaluating very large phenomena, such as hurricanes, forest fires, even galaxies, as well as discovering images in distributed networks, which can be perceived as a whole in line with the conceptual orientation of SG. The developed paradigm allows direct expression of top semantics and holistic methods for solving complex problems, dynamic creation and composition of the needed implementation environment, thus providing the strictest way from problem definition to a practical solution.
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