Large scale social simulation with more than a hundred million agents

Tadahiko Murata, Takuya Harada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose a coding method for enabling a huge number of agents in a social simulation such as minority game. The minority game is a game when participants (or agents) win when they select a group with a smaller number of participants. Using our coding method, we successfully implements the minority game with more than a hundred million agents. From our simulation results, we observed a cycle that varies according to the size of memory of each agent that can not be observed with a smaller number of agents. We show some simulation results showing those cycles.

Original languageEnglish
Title of host publicationProceedings - 2013 6th International Conference on Emerging Trends in Engineering and Technology, ICETET 2013
PublisherIEEE Computer Society
Pages159-163
Number of pages5
ISBN (Print)9781479925605
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 6th International Conference on Emerging Trends in Engineering and Technology, ICETET 2013 - Nagpur, Maharashtra, India
Duration: 2013 Dec 162013 Dec 18

Publication series

NameInternational Conference on Emerging Trends in Engineering and Technology, ICETET
ISSN (Print)2157-0477
ISSN (Electronic)2157-0485

Conference

Conference2013 6th International Conference on Emerging Trends in Engineering and Technology, ICETET 2013
Country/TerritoryIndia
CityNagpur, Maharashtra
Period13/12/1613/12/18

Keywords

  • agent-based simulation
  • large scale social simulation
  • minority game

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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