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Density Functional Theory as a New Mathematical Framework for Predicting Population Flows.
| 题名： | Density Functional Theory as a New Mathematical Framework for Predicting Population Flows. |
| 作者： | Arias, T. A.; Cohen, I. |
| 关键词： | Density functional theory, Statistical sampling, Probability, Agent-based simulations, Distribution functions, Human population, Measurement, Algorithms, Sampling, Population flow, Human crowds |
| 摘要： | World events are at a critical juncture where predictive, quantitative models of the flow of human beings from crowds at concerts to international human migration would greatly improve responses to developing crises. Current agent-based models of population dynamics can reproduce many behaviors, ranging from random milling to flocking and schooling, but often must postulate difficult to validate rules for agent interactions with each other and their environment |
| 报告类型： | 科技报告 |
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