Hybrid Knowledge Graphs provide a technology foundation

Which creates a shared working memory for a set of agents to understand and act upon a single shared situation. By sharing the knowledge graph as a common entity, the agents can ‘see’ the actions, processes, and state being influenced by the other agents and can, as appropriate, both trigger and be triggered by those changes.  In this configuration, the human operator is just another ‘agent’ of the system operating on the shared knowledge graph.  Hybrid Knowledge Graphs combine objects, semantic knowledge, formal ontologies, and typed graph structures. This approach provides a powerful engine to perform advanced reasoning using combinations of data, semantic reasoning, objects, digital twin models, and graph relationships resulting in deeper situational understanding of the real world and supports dynamic adaptive planning capabilities.  Further, CSI’s hybrid knowledge graph technology has a rich representation and support services for temporal reasoning, spatial reasoning, state reasoning and integrated AI planning and plan execution monitoring.

CSI has developed and refined a military domain model, which includes both logistics and operations, secondary concepts like information, terrain, environment, as well as force structure elements like units, equipment, personnel, facilities, and supplies and of course plans through the digital living plan.

CSI has been moving many of its key planning and reasoning capabilities from classical database models to hybrid knowledge graph models. The combinations of Agentic AI, hybrid knowledge graphs, and a rich domain model allows faster development and more powerful decision support solutions to a wide range of problem areas.