Building a coherent world view from sensory data

The number of sensors mounted on unmanned vehicles, satellites, surveillance cameras, etc. continues to grow. These sensors offer a wealth of data, but converting these sensors into a coherent, symbolic world view that is relevant to the task-at-hand is a challenge. TRACLabs Inc. is proposing to integrate the Polyscheme cognitive architecture with an agent-oriented architecture to produce a complete system for providing task-relevant, symbolic data to human stakeholders. Polyscheme is a cognitive architecture for implementing more robust intelligent systems by combining multiple kinds of data structures and algorithms. TRACLabs' agent-oriented architecture is called DCI and was developed via NASA funding to aid distributed human teams in working with autonomous systems. Our integrated system will have the capability to combine a variety of sensory data into a coherent, symbolic world view that is made available to human stakeholders and is defined by a ontology. The symbolic world view is flexible and the cognitive aspects of our system allow for new symbols and categories of symbols to be created with minimal human involvement. The result is a system that easily ties multiple human stakeholders into the cognitive system while at the same time relieving these human stakeholders of routine cognitive tasks.