The GeoGraph 3D Computational Laboratory

Abstract

Human interactions of all kinds, both friendly and unfriendly, are increasingly structured by networks of transportation and communication spatial technologies. Yet our tools to model, understand, and predict dynamic human interactions and behavior on spatial networks and geographic landscapes have lagged far behind. Even recent progress in social network modeling has not yet offered us any capability to model dynamic processes among mobile agents who interact at all scales on small-world and scale-free geographic networks. Computational laboratory modeling of dynamic human interactions on richly structured landscapes is important for understanding the sometimes counter-intuitive dynamics of such loosely coupled systems of non-linear interactions. Deeper understanding is more important than ever not only because the stakes are so much higher, but because we now have greater strategic control over the structural design and therefore the effects of our networks of organizational and spatial technologies.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA467457

Entities

People

  • Catherine Dibble
  • Philip G. Feldman

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agent-Based Simulations
  • Aircrafts
  • Buildings And Structures
  • Climate Change
  • Command And Control
  • Control Systems
  • Game Theory
  • Genetic Algorithms
  • Hierarchies
  • Organizational Structure
  • Remotely Piloted Vehicles
  • Simulations
  • Social Networks
  • Social Sciences
  • Universities
  • Vehicles

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Networking
  • Systems Analysis and Design