DocumentCode :
145646
Title :
Agent-Based Model with Visualization Tool to Study Boundless Connectivity Threshold
Author :
Paizen, Bruce ; Kraut, Joshua ; Friesen, Marcia R. ; McLeod, Robert D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnip, MB, Canada
Volume :
2
fYear :
2014
fDate :
10-13 March 2014
Firstpage :
305
Lastpage :
306
Abstract :
Mobility on a traditionally static percolation theory model was investigated. The modification of the percolation theory model to incorporate mobility on the model grid enabled the creation of a simple agent-based model (ABM). This resulted in statistically significant findings that the impact of agent density is inversely related to agent mobility. An interactive graphical user interface (GUI) was developed to provide a visual illustration to convey an intuitive comprehension of the ABM simulation dynamics and processes. The association between mobility and density is visually illustrated by the interactive GUI, which emphasizes patterns that can provide guidance for research into connectedness or connectivity involving percolation models. One application is epizootic modeling. Visualization is an increasingly desired method used by industry and academia. Visualization is employed in many percolation model studies as it quickly narrows down regions of interest that can be further explored using conventional analysis.
Keywords :
data visualisation; graphical user interfaces; interactive systems; mobile agents; percolation; ABM simulation dynamics; GUI; agent density; agent mobility; agent-based model; boundless connectivity threshold; epizootic modeling; interactive graphical user interface; model grid; static percolation theory model; visual illustration; visualization tool; Computational modeling; Graphical user interfaces; Lattices; Sociology; Statistics; Tracking; Visualization; Visualization; agent-based model (ABM); epizootic; percolation theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/CSCI.2014.146
Filename :
6822357
Link To Document :
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