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Computational Creativity for Intelligence Analysis

  • Robert Forsgren
  • Peter HammarEmail author
  • Magnus Jändel
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 416)

Abstract

We describe a decision support system for hypothesis assessment in which exploration is supported by computational creativity. A software tool for morphological hypothesis analysis and evidence handling is extended with a creative assistant that on demand suggests hypotheses that the analyst should consider. Suggested hypotheses are chosen so that they are far from hypotheses that the analyst previously has paid attention to but nevertheless are supported by evidence in an interesting way. For the purpose of providing thought-provoking suggestions, the creative assistant employs ensembles of novelty and value assessment methods and proposes hypotheses that stand out in this multi-ensemble analysis. Preliminary experiments investigate the system’s potential for infusing novel and valid ideas into the decision making process.

Keywords

Decision support system Hypothesis assessment Situation assessment Computational creativity 

Notes

Acknowledgments

Christian Mårtensson suggested that we should consider how to apply computational creativity in morphological analysis. We thank Tove Gustavi, Maja Karasalo and Christian Mårtensson for making the MHMA tool available for our research. This research is commissioned by FMV, the Swedish Defence Materiel Administration.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Swedish Defence Research AgencyStockholmSweden

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