Social and Group Simulation Based on Real Data Analysis | Zendy

Kiyoshi Izumi | Zendy; Keiki Takadama | Zendy; Hiromitsu Hattori | Zendy; Nariaki Nishino | Zendy; Itsuki Noda | Zendy

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Social and Group Simulation Based on Real Data Analysis

Author(s) -

Kiyoshi Izumi,

Keiki Takadama,

Hiromitsu Hattori,

Nariaki Nishino,

Itsuki Noda

Publication year - 2011

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2011.p0166

Subject(s) - computer science , categorization , data science , group (periodic table) , field (mathematics) , data mining , machine learning , artificial intelligence , chemistry , organic chemistry , mathematics , pure mathematics

Recently, social simulation research based on real data has appeared in various fields. This paper introduces studies of Agent-Based Simulation (ABSs) based on real data, focusing on introducing studies in the fields of financial marketing, traffic, pedestrians, and a sustainable society. We also introduce some approaches to establish a general method and/or theory about linking social simulation to real data. Finally, we categorize ABS research for understanding ABS research features.

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