Multiagent simulation

Toru Ishida, Hiromitsu Hattori, Yuu Nakajima

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

How can we predict ICT-driven innovations that will emerge in society and daily life? Multiagent simulations can be used to predict the changes in society and daily life caused by human interaction with new technologies. Multiagent simulations have become increasingly popular as a type of micro-simulation that can represent diversity and heterogeneity of human behaviors. In contrast to traditional micro-simulations, multiagent simulations can represent individual decision-making in detail, so they can reproduce the complex phenomena that arise from the outcome of interactions between different agents. In this chapter, we introduce three cases where multiagent simulations are used to reproduce and analyze complex collective behavior; evacuation simulation, traffic simulation, and economic simulation. Furthermore, we discuss the participatory approach for realizing practical and reliable multiagent simulations.

Original languageEnglish
Title of host publicationField Informatics
Subtitle of host publicationKyoto University Field Informatics Research Group
PublisherSpringer Berlin Heidelberg
Pages89-105
Number of pages17
ISBN (Electronic)9783642290060
ISBN (Print)9783642290053
DOIs
Publication statusPublished - 2012 Jan 1
Externally publishedYes

Fingerprint

Innovation
Decision making
Economics

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Ishida, T., Hattori, H., & Nakajima, Y. (2012). Multiagent simulation. In Field Informatics: Kyoto University Field Informatics Research Group (pp. 89-105). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-29006-0_6

Multiagent simulation. / Ishida, Toru; Hattori, Hiromitsu; Nakajima, Yuu.

Field Informatics: Kyoto University Field Informatics Research Group. Springer Berlin Heidelberg, 2012. p. 89-105.

Research output: Chapter in Book/Report/Conference proceedingChapter

Ishida, T, Hattori, H & Nakajima, Y 2012, Multiagent simulation. in Field Informatics: Kyoto University Field Informatics Research Group. Springer Berlin Heidelberg, pp. 89-105. https://doi.org/10.1007/978-3-642-29006-0_6
Ishida T, Hattori H, Nakajima Y. Multiagent simulation. In Field Informatics: Kyoto University Field Informatics Research Group. Springer Berlin Heidelberg. 2012. p. 89-105 https://doi.org/10.1007/978-3-642-29006-0_6
Ishida, Toru ; Hattori, Hiromitsu ; Nakajima, Yuu. / Multiagent simulation. Field Informatics: Kyoto University Field Informatics Research Group. Springer Berlin Heidelberg, 2012. pp. 89-105
@inbook{db521074af05409c9052173f6b1acbc5,
title = "Multiagent simulation",
abstract = "How can we predict ICT-driven innovations that will emerge in society and daily life? Multiagent simulations can be used to predict the changes in society and daily life caused by human interaction with new technologies. Multiagent simulations have become increasingly popular as a type of micro-simulation that can represent diversity and heterogeneity of human behaviors. In contrast to traditional micro-simulations, multiagent simulations can represent individual decision-making in detail, so they can reproduce the complex phenomena that arise from the outcome of interactions between different agents. In this chapter, we introduce three cases where multiagent simulations are used to reproduce and analyze complex collective behavior; evacuation simulation, traffic simulation, and economic simulation. Furthermore, we discuss the participatory approach for realizing practical and reliable multiagent simulations.",
author = "Toru Ishida and Hiromitsu Hattori and Yuu Nakajima",
year = "2012",
month = "1",
day = "1",
doi = "10.1007/978-3-642-29006-0_6",
language = "English",
isbn = "9783642290053",
pages = "89--105",
booktitle = "Field Informatics",
publisher = "Springer Berlin Heidelberg",

}

TY - CHAP

T1 - Multiagent simulation

AU - Ishida, Toru

AU - Hattori, Hiromitsu

AU - Nakajima, Yuu

PY - 2012/1/1

Y1 - 2012/1/1

N2 - How can we predict ICT-driven innovations that will emerge in society and daily life? Multiagent simulations can be used to predict the changes in society and daily life caused by human interaction with new technologies. Multiagent simulations have become increasingly popular as a type of micro-simulation that can represent diversity and heterogeneity of human behaviors. In contrast to traditional micro-simulations, multiagent simulations can represent individual decision-making in detail, so they can reproduce the complex phenomena that arise from the outcome of interactions between different agents. In this chapter, we introduce three cases where multiagent simulations are used to reproduce and analyze complex collective behavior; evacuation simulation, traffic simulation, and economic simulation. Furthermore, we discuss the participatory approach for realizing practical and reliable multiagent simulations.

AB - How can we predict ICT-driven innovations that will emerge in society and daily life? Multiagent simulations can be used to predict the changes in society and daily life caused by human interaction with new technologies. Multiagent simulations have become increasingly popular as a type of micro-simulation that can represent diversity and heterogeneity of human behaviors. In contrast to traditional micro-simulations, multiagent simulations can represent individual decision-making in detail, so they can reproduce the complex phenomena that arise from the outcome of interactions between different agents. In this chapter, we introduce three cases where multiagent simulations are used to reproduce and analyze complex collective behavior; evacuation simulation, traffic simulation, and economic simulation. Furthermore, we discuss the participatory approach for realizing practical and reliable multiagent simulations.

UR - http://www.scopus.com/inward/record.url?scp=84956523966&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84956523966&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-29006-0_6

DO - 10.1007/978-3-642-29006-0_6

M3 - Chapter

SN - 9783642290053

SP - 89

EP - 105

BT - Field Informatics

PB - Springer Berlin Heidelberg

ER -