The GeoGraph 3D Computational Laboratory: Network and Terrain Landscapes for RePast

Our GeoGraph 3D extensions to the RePast agent-based simulation platform support models in which mobile agents travel & interact on rugged terrain or on network landscapes such as social networks of established organizational teams or spatial networks at any scale from rooms within buildings to...

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Veröffentlicht in:Journal of artificial societies and social simulation 2004-01, Vol.7 (1)
Hauptverfasser: Dibble, Catherine, Feldman, Philip G
Format: Artikel
Sprache:eng
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Zusammenfassung:Our GeoGraph 3D extensions to the RePast agent-based simulation platform support models in which mobile agents travel & interact on rugged terrain or on network landscapes such as social networks of established organizational teams or spatial networks at any scale from rooms within buildings to urban neighborhoods to large geographic networks of cities. Interactive GeoGraph 3D visualizations allow researchers to zoom & pan within the simulation landscape as the model runs. Model-specific 3D representations of agents flock together on terrain landscapes, & teleport or travel along links on network landscapes. Agents may be displayed on network nodes either as individual agents or as dynamic 3D bar charts that reflect the composition of each node's population. Batch modes support scientific control via fully separated random number series, customized parameter combinations, & automatic data collection for many thousands of simulation runs. This paper introduces the GeoGraph 3D computational laboratory & briefly describes three representative GeoGraph models along with basic GeoGraph 3D capabilities & components. 5 Figures. Adapted from the source document.
ISSN:1460-7425
1460-7425