Abstract: A system can predict potential future locations of maritime vessels given historical maritime vessel trajectory data using abductive reasoning strategies. The system includes a learning component and reasoning component. The learning component creates a rule-based model that maps partial trajectory information to potential new locations, which the reasoning component can use to predict areas where a vessel may be based on partial trajectory information. This can be either area-based or trajectory based. The rule-based model also enables the system to learn normal trajectory behavior and characterize why such behavior is normal. The system can also infer multiple geospatial areas where a vessel may be located.