Models & Solutions for Strategic Decision Makers during CBRN Crises in Industrial & Urban Environments

  • Agostino G. Bruzzone  ,
  • Marina Massei,
  • Andrea Reverberi, 
  • Alberto De Paoli, 
  • Antonio Giovannetti, 
  • Massimo Pedemonte , 
  • Riccardo Rovelli 
  • a,b,d STRATEGOS Genoa University, via Opera Pia 15, Genoa, 16145, Italy 
  • a,b,c,e,f Simulation Team, via Cadorna 2, Savona, 17100, Italy 
  • DCCI, Genoa University, via Dodecaneso 31, Genova, 16145, Italy 
  • ST Engineering Antycip SAS, via L. V. dell'Orto, 17, Saronno, 21047, Italy 
Cite as
Bruzzone A.G.,Massei M., Giovannetti A., Pedemonte M., Rovelli R. (2022).,Models for strategic decision makers during CBRN crysis in industrial and urban environment . Proceedings of the 12th International Defense and Homeland Security Simulation Workshop (DHSS 2022). , 005 . DOI: https://doi.org/10.46354/i3m.2022.dhss.005
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Abstract

This paper proposes an architecture to deal Strategic Decision Making within Urban Area and Industrial Plants due to Risks related to TIC/TIM (Toxic Industrial Chemical, Toxic Industrial Material) that nowadays represent a major issues in our Society due to their diffusion and potential impact. The problem is addressed by comprehensive models in order to provide an effective support to high level Decision Makers thanks to the use of the innovative architecture proposed, based on Strategic Engineering approach. A case study and related Models and AI Solutions are presented to validate the proposed concepts in a specific case study. It is proposed an innovative architecture where the use of IA (Intelligent Agents) and M&S (Modeling and Simulation) are combined to process Big Data arriving from sensor networks and digital systems and to support decision by evaluating alternative COAs (Courses of Actions) were population, countermeasures as well as potential antagonists are simulated by IA together with physical models of critical phenomena (e.g. hazardous material spills, explosions, contamination, fires). 

References

  1. Antoni, N., Adriaensen, M., & Giannopapa, C. (2020). Institutional space security programs in Europe. Handbook of space security: policies, applications and programs, 1191-1224. 
  2. Bruzzone, A. G., Massei, M., Tremori, A., Camponeschi, M., Nicoletti, L., Di Matteo, R., & Franzinetti, G. (2015). Distributed Virtual Simulation Supporting Defense Against Terrorism. Proceedings of DHSS2015, Bergeggi, Italy, September. 
  3. Bruzzone, A. G., & Massei, M. (2017a). Simulation based military training. In Guide to Simulation Based Disciplines (pp. 315-361). Springer, Cham. 
  4. Bruzzone, A. G., Di Matteo, R., & Sinelshchikov, K. (2017b). Strategic Engineering & Innovative Modeling Paradigms. In Workshop on Applied Modelling & Simulation 
  5. Bruzzone, A. G., Sinelshchikov, K., & Massei, M. (2020). Epidemic Simulation based on Intelligent Agents. Proceedings of I_WISH, September. 
  6. Coleman, C. N., Bader, J. L., Koerner, J. F., Hrdina, C., Cliffer, K. D., Hick, J. L., ... & Hatchett, R. (2019). Chemical, biological, radiological, nuclear, and explosive (CBRNE) science and the CBRNE science medical operations science support expert (CMOSSE). Disaster medicine and public health preparedness, 13(5-6), 995-1010. 
  7. Ivanova, K., & Sandler, T. (2006). CBRN incidents: Political regimes, perpetrators, and targets. Terrorism and Political Violence, 18(3), 423-448. 
  8. Johnson, D., & Ali, A. (2015). Modeling and simulation of landmine and improvised explosive device detection with multiple loops. The Journal of Defense Modeling and Simulation, 12(3), 257- 271.Powers, M. J. (2001). Deterring terrorism with CBRN weapons: Developing a conceptual framework. CBACI, Office of Justice Programs, Washington DC. 
  9. Longo, F., Nicoletti, L., Padovano, A. (2019). Emergency preparedness in industrial plants: A forward looking solution based on industry 4.0 enabling technologies. Computer in Industry, Volume 105, Pages 99 – 122. 
  10. Regal, G., Murtinger, M., & Schrom-Feiertag, H. (2022, May). Augmented CBRNE Responder-Directions for Future Research. In 13th Augmented Human International Conference (pp. 1-4). 
  11. Ruiz, J., Behner, H., Herzog, R., Hodicky, J., Lofstrand, B., & Vrieler, S. (2016). Towards a new NATO certification capability for HLA interoperability. In SISO Simulation Innovation Workshop, Orlando, USA. 
  12. Wilner, A., & Babb, C. (2021). New Technologies and Deterrence: Artificial Intelligence and Adversarial Behaviour. In NL ARMS Netherlands Annual Review of Military Studies 2020 (pp. 401-417). TMC Asser Press, The Hague. 
  13. Wilson, C. (2007, November). Improvised explosive devices (IEDs) in Iraq and Afghanistan: effects and countermeasures. LIBRARY OF CONGRESS WASHINGTON DC CONGRESSIONAL RESEARCH SERVICE.
  14. Winkler, M., Street, M., Tuchs, K. D., & Wrona, K. (2012). Wireless sensor networks for military purposes. Autonomous sensor networks, 365-394.