Multiagent simulation meets the real world

Toru Ishida*

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

To realize large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of steps called 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in virtual space and jointly perform simulations, and 2) augmented experiment, where an experiment is performed in real space by human subjects and scenario-guided extras. In this methodology, we use production rules to describe agent models for approximating users, and multiagent scenarios to describe interaction models among services and their users. To learn agent and interaction models incrementally from simulations and experiments, we establish the participatory design loop with deductive machine learning technologies.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
Pages123-125
Number of pages3
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: 2006 May 82006 May 12

Publication series

NameProceedings of the International Conference on Autonomous Agents
Volume2006

Conference

ConferenceFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Country/TerritoryJapan
CityHakodate
Period06/5/806/5/12

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Multiagent simulation meets the real world'. Together they form a unique fingerprint.

Cite this