Roadmap and research issues of multiagent social simulation using high-performance computing

Itsuki Noda (), Nobuyasu Ito, Kiyoshi Izumi, Hideki Mizuta, Tomio Kamada and Hiromitsu Hattori
Additional contact information
Itsuki Noda: Artificial Intelligence Research Center, AIST
Nobuyasu Ito: The University of Tokyo
Kiyoshi Izumi: The University of Tokyo
Hideki Mizuta: IBM Japan, Ltd.
Tomio Kamada: Kobe University
Hiromitsu Hattori: Ritsumeikan University

Journal of Computational Social Science, 2018, vol. 1, issue 1, No 10, 155-166

Abstract: Abstract In this article, we present roadmaps and research issues pertaining to multiagent social simulation to illustrate the directions of technological achievements in that domain. Compared with physical simulation, social simulation is still in the phase of establishing simulation models. We focus on four issues, namely “undetermined model”, “awareness effects”, “obscure boundary”, and “incomplete data”, and consider ways to overcome these issues using the massive computational power of high-performance computing. We select three applications, namely evacuation, road traffic, and market, and estimate the required computational cost of real applications. Moreover, we investigate research issues on the application side and categorize possible future works on multiagent social simulations.

Keywords: Multiagent social simulation; High-performance computing; Technical roadmap; Computation cost; Scalability (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s42001-017-0011-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jcsosc:v:1:y:2018:i:1:d:10.1007_s42001-017-0011-8

Ordering information: This journal article can be ordered from
http://www.springer. ... iences/journal/42001

DOI: 10.1007/s42001-017-0011-8

Access Statistics for this article

Journal of Computational Social Science is currently edited by Takashi Kamihigashi

More articles in Journal of Computational Social Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().