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Enhancing Creativity in Risk Assessment of Complex Sociotechnical Systems

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10405))

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Abstract

We propose the CREAM (CREAtivity Machine) software system to enhance the creativity of experts during vulnerability and risk assessment of complex sociotechnical systems. Our assumption is that a new idea related to a risk can be represented as a fragment of a conceptual model, here named risk mini-model, that can be generated by means of an ontology-based approach for computational creativity. In our solution risk mini-models activate a creative process for stakeholders to identify and understand risks. The whole set of risk mini-models for a specific risk constitutes a risk conceptual model. Such models are included in a knowledge base together with a domain ontology and a set of rules.

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Notes

  1. 1.

    The VUM ontology is available at https://tinyurl.com/VUM-ontologyICCSA2017.

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Acknowledgements

The work of Alex Coletti was conducted at SMRC, with partial funding from a NOAA-CPO research grant. The work of Antonio De Nicola and Maria Luisa was conducted at ENEA and was partially supported by the Italian Project ROMA (Resilience enhancement Of Metropolitan Area) (SCN_00064). We kindly acknowledge Bálint Bálazs and Michele Melchiori for stimulating discussions.

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Authors and Affiliations

  1. SMRC, Ashburn, VA, USA

    Alex Coletti

  2. ENEA-CR Casaccia, Via Anguillarese 301, 00123, Rome, Italy

    Antonio De Nicola & Maria Luisa Villani

Authors
  1. Alex Coletti
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  2. Antonio De Nicola
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  3. Maria Luisa Villani
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Corresponding author

Correspondence to Antonio De Nicola .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Coletti, A., De Nicola, A., Villani, M.L. (2017). Enhancing Creativity in Risk Assessment of Complex Sociotechnical Systems. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10405. Springer, Cham. https://doi.org/10.1007/978-3-319-62395-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-62395-5_21

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