Abstract
This paper presents a computational approach to intelligence analysis which is viewed as mixed-initiative discovery of evidence, hypotheses and arguments by an intelligence analyst and a cognitive assistant. The approach is illustrated with the analysis of wide area motion imagery of fixed geographic locations where the goal is to discover threat events such as an ambush or a rocket launch. This example is used to show how the Disciple cognitive assistants developed in the Learning Agents Center can help the analysts in coping with the astonishing complexity of intelligence analysis.
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Tecuci, G., Schum, D., Boicu, M., Marcu, D., Hamilton, B. (2010). Intelligence Analysis as Agent-Assisted Discovery of Evidence, Hypotheses and Arguments. In: Phillips-Wren, G., Jain, L.C., Nakamatsu, K., Howlett, R.J. (eds) Advances in Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14616-9_1
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DOI: https://doi.org/10.1007/978-3-642-14616-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14615-2
Online ISBN: 978-3-642-14616-9
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