Situation-Aware BDI Agents in Support of Autonomous Intelligence, Surveillance, and Reconnaissance (ISR) Analysis

摘要

We discuss the problem of making sense of very large amounts of multi-sensor data in terms of information fusion and situation awareness. Our focus is on the application layer of the GIG in support of ISR analysis, sometimes referred to as level 2 fusion or cognitive fusion. We discuss an approach where the key ontological constructs are events, event correlation, situations, and situation assessment. We extend classic Belief-Desire-Intention (BDI) agents with situation awareness, as a result of which the actions of BDI agents are triggered by situations rather than single events. We discuss our reasoning mechanism against the background of ontology and knowledge base development and provide a simple illustration of the concept towards opportunistic reasoning.