A comparison of multiple behavior models in a simulation of the aftermath of an improvised nuclear detonation

Author:

Parikh Nidhi,Hayatnagarkar Harshal G.,Beckman Richard J.,Marathe Madhav V.,Swarup Samarth

Funder

Defense Threat Reduction Agency

NIH MIDAS

National Institutes of Health

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference40 articles.

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2. Adiga, A., Agashe, A., Arifuzzaman, S., Barrett, C.L., Beckman, R.J., Bisset, K.R., Chen, J., Chungbaek, Y., Eubank, S.G., Gupta, S., Khan, M., Kuhlman, C.J., Lofgren, E., Lewis, B.L., Marathe, A., Marathe, M.V., Mortveit, H.S., Nordberg, E., Rivers, C., Stretz, P., Swarup, S., Wilson, A., & Xie, D. (2015). Generating a synthetic population of the United States. Tech. Rep. NDSSL 15-009, Network Dynamics and Simulation Science Laboratory.

3. Adiga, A., Marathe, M., Mortveit, H., Wu, S., & Swarup, S. (2013). Modeling urban transportation in the aftermath of a nuclear disaster: The role of human behavioral responses. In: The Conference on Agent-Based Modeling in Transportation Planning and Operations. Blacksburg, VA.

4. Adiga, A., Mortveit, H.S., & Wu, S.(2013). Route stability in large-scale transportation systems. In: The Workshop on Multiagent Interaction Networks (MAIN), held in conjunction with AAMAS 2013. St. Paul, MN, USA.

5. Atun, F. (2014). Understanding effects of complexity in cities during disasters. In C. Walloth, J. M. Gurr, & J. A. Schmidt (Eds.), Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling (pp. 51–66). Cham: Springer.

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