Automatic Course of Action Generation Using Soft Data for Maritime Domain Awareness
Title | Automatic Course of Action Generation Using Soft Data for Maritime Domain Awareness |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Plachkov, Alex, Abielmona, Rami, Harb, Moufid, Falcon, Rafael, Inkpen, Diana, Groza, Voicu, Petriu, Emil |
Conference Name | Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4323-7 |
Keywords | course of action recommendation, Decision support systems, high-level information fusion, Human Behavior, Metrics, multicriteria decision making, natural language processing, pubcrawl, Resiliency, soft data |
Abstract | Information Fusion (IF) systems have long exploited data provided by hard (physics-based) sensors with the aspiration of making sense of the environment they are monitoring. In recent times, the IF community has recognized the potential of utilizing data generated by people, also known as soft data. In this study, we demonstrate how course of action (CoA) generation, one of the key elements of Level 3 High-Level Information Fusion and a vital component for security and defense decision support systems, can be augmented using soft (human-derived) data for improved mission effectiveness. This conceptualization is validated through an elaborate experiment situated in the maritime world. To the best of the authors' knowledge, this is the first study to apply soft data to automatic CoA generation in the maritime domain. |
URL | http://doi.acm.org/10.1145/2908961.2931678 |
DOI | 10.1145/2908961.2931678 |
Citation Key | plachkov_automatic_2016 |