Presentation 2014-03-05
An Examination of 7 Billion Agent Based Simulation
Shofuku KIN, Hidenori KAWAMURA, Keiji SUZUKI,
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Abstract(in English) Multi-Agent Simulation (MAS) is efficient for analysis of various social mechanisms. Recently, there are many studies on massive agent model to explain more complex social phenomena. Then, we aim for implementation of large scale simulation model using Repast HPC toolkit, a platform for massive agent model. In this article, we build "Schelling Segregation Model" for spatial model using geospatial data provided OpenStreetMap, an open source project creating a free editable map. In this model, agents are located continuous space , not grid in original. When an agent is "unhappy" and migrate to new location, it costs agents some simulation time depending on distance between old location and new one. This article reports simulation results using Japanese cities and verification result about execution time.
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Keyword(in English) Multi Agent Simulation / Geo-Spatial Information System / Distributed and Parallel Computing
Paper # AI2013-50
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Conference Information
Committee AI
Conference Date 2014/2/24(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Examination of 7 Billion Agent Based Simulation
Sub Title (in English)
Keyword(1) Multi Agent Simulation
Keyword(2) Geo-Spatial Information System
Keyword(3) Distributed and Parallel Computing
1st Author's Name Shofuku KIN
1st Author's Affiliation ()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation
3rd Author's Name Keiji SUZUKI
3rd Author's Affiliation
Date 2014-03-05
Paper # AI2013-50
Volume (vol) vol.113
Number (no) 459
Page pp.pp.-
#Pages 5
Date of Issue