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)


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.


Decision support system Hypothesis assessment Situation assessment Computational creativity 



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.


  1. 1.
    Cole, L.A.: The Anthrax Letters. Skyhorse Publishing (2009)Google Scholar
  2. 2.
    Colton, S., Wiggins, G.A.: Computational Creativity: The Final Frontier? In: Proceedings 20th European Conference on Artificial Intelligence (2012)Google Scholar
  3. 3.
    Ehrgott, M.: Multiobjective Optimization. AI Mag. 29(4), 47–57 (2009)MathSciNetGoogle Scholar
  4. 4.
    Gustavi, T., Karasalo, M., Mårtenson, C.: A tool for generating, structuring, and analyzing multiple hypotheses in intelligence work. In: Intelligence and Security Informatics Conference (EISIC), pp. 23–30 (2013)Google Scholar
  5. 5.
    Hamming, R.W.: Error detecting and error correcting codes. Bell Syst. Tech. J. 29, 147–160 (1950)CrossRefMathSciNetGoogle Scholar
  6. 6.
    Heuer, R.J.: Psychology of Intelligence Analysis. US Gov. Printing Office (1999)Google Scholar
  7. 7.
    Jändel, M.: Computational creativity in naturalistic decision-making. In: Proceedings of the Fourth International Conference on Computational Creativity, pp. 118–122 (2013)Google Scholar
  8. 8.
    Ritchey, T.: Wicked Problems—Social Messes: Decision Support Modelling with Morphological Analysis. Springer (2011)Google Scholar
  9. 9.
    Varshney, L.R.: Surprise in computational creativity and machine science. Decision Analysis Today 32, 25–28 (2013)Google Scholar
  10. 10.
    Wixted, J.T., Ebbesen, E.B.: Genuine power curves in forgetting: a quantitative analysis of individual subject forgetting functions. Memory Cogn. 25(5), 731–739 (1997)CrossRefGoogle Scholar
  11. 11.
    Zwicky, F.: Discovery, Invention, Research Through the Morphological Approach. The Macmillan Company, Toronto (1969)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Swedish Defence Research AgencyStockholmSweden

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