Density Functional Theory as a New Mathematical Framework for Predicting Population Flows

Abstract

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

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2017
Accession Number
AD1059367

Entities

People

  • Itai Cohen
  • Tomás A. Arias

Organizations

  • Cornell University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agent-Based Simulations
  • Agreements
  • Algorithms
  • Contracts
  • Data Set
  • Density Functional Theory
  • Department Of Defense
  • Digital Data
  • Diptera
  • Distribution Functions
  • Drosophila
  • Engineering
  • Environment
  • Equations
  • Fish
  • Free Energy
  • Frustration
  • High Temperature
  • Human Population
  • Mathematics
  • Measurement
  • Numbers
  • Physics
  • Probability
  • Sampling
  • Simulations
  • Statistical Sampling
  • Statistics

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Fluid Dynamics (CFD)
  • Strategic Security Studies