| Title |
A comparison of multiple behavior models in a simulation of the aftermath of an improvised nuclear detonation
|
|---|---|
| Published in |
Autonomous Agents and Multi-Agent Systems, March 2016
|
| DOI | 10.1007/s10458-016-9331-y |
| Pubmed ID | |
| Authors |
Nidhi Parikh, Harshal G. Hayatnagarkar, Richard J. Beckman, Madhav V. Marathe, Samarth Swarup |
| Abstract |
We describe a large-scale simulation of the aftermath of a hypothetical 10kT improvised nuclear detonation at ground level, near the White House in Washington DC. We take a synthetic information approach, where multiple data sets are combined to construct a synthesized representation of the population of the region with accurate demographics, as well as four infrastructures: transportation, healthcare, communication, and power. In this article, we focus on the model of agents and their behavior, which is represented using the options framework. Six different behavioral options are modeled: household reconstitution, evacuation, healthcare-seeking, worry, shelter-seeking, and aiding & assisting others. Agent decision-making takes into account their health status, information about family members, information about the event, and their local environment. We combine these behavioral options into five different behavior models of increasing complexity and do a number of simulations to compare the models. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Doctoral Student | 4 | 15% |
| Student > Bachelor | 4 | 15% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 22% |
| Social Sciences | 3 | 11% |
| Unspecified | 2 | 7% |
| Engineering | 2 | 7% |
| Economics, Econometrics and Finance | 2 | 7% |
| Other | 7 | 26% |
| Unknown | 5 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 April 2018.
All research outputs
#1,805,553
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#3
of 246 outputs
Outputs of similar age
#32,914
of 329,385 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#1
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them