Frontiers of Engineering Reports on Leading-Edge Engineering from the 2005 Symposium (2006) / Chapter Skim
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Agent-Based Modeling as a Decision-Making Tool
Agent-Based Modeling as a Decision-Making Tool
Pages 99-108
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From page 99... ...
Ultimately, a quantitative understanding can be a basis for designing agent systems, like robots or rovers that can perform tasks collectively that would be prohibitive for humans. Examples include deep-water rescue missions, minefield mapping, distributed sensor networks (for civil and military uses)
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From page 100... ...
validation, which normally means comparing the output of the model with additional observations of the real system. The agent models described in this paper took about nine years to develop at Los Alamos National Laboratory.
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In the following sections, we briefly describe two large-scale agent-based models developed at Los Alamos National Laboratory, a traffic simulator (TRANSIMS) and an epidemics simulator (EPISIMS)
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From page 102... ...
The simulation, which resolved distances down to 7.5 meters and times down to 1 second, in effect resolved the traffic congestion caused by everyone trying to execute plans simultaneously by providing updated estimates of time-dependent travel times for each edge in the network, including the effects of congestion. These estimates were fed to a router and location estimation algorithms that produced new plans.
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From page 103... ...
of downtown Portland, Oregon.
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From page 104... ...
If two people nodes, p1 and p2, had an incident edge in the same location node, l, the common intersection of the two time stamps told us the total time the two people spent in proximity to each other during the day, thus enabling us to determine the possibility of transmission of an airborne infection. Using Portland as an example, there were about 1.6 million people nodes, 181,000 location nodes, and more than 6 million edges between them.
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From page 105... ...
must be a last resort. After studying the projection of the bipartite graph onto people nodes, however, we found very high expansion properties, and the only way to avoid mass spread of the disease would be to vaccinate everyone who had 10 or more contacts during the day, which effectively meant mass vaccination.
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From page 106... ...
. The bars represent the number infected at each location, and the light color represents the fraction of infected people who are infectious.
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From page 107... ...
: 1093510940. LANL (Los Alamos National Laboratory)
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