Learning from human behavior in participatory simulation

Toru Ishida, Yohei Murakami, Yuu Nakajima

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

Abstract

To design socially embedded systems, this paper proposes to learn from human behavior in participatory simulation, where scenario-guided agents and human-controlled avatars coexist in a shared virtual space and jointly perform simulations. To create agent models incrementally, we use machine learning technologies. We characterize agents by using a various combinations of behavior rules instantiated by the user operating his/her avatar. We apply hypothetical reasoning, which offers consistent selection of hypotheses and allows us to start with incompatible behavior rules, for incrementally improving the agent models. Using data obtained during the participatory simulation and the hypotheses including known behavior rules, we can generate an explanation for human behavior.

Original languageEnglish
Title of host publicationAmbient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009
Pages147-157
Number of pages11
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
EventAmbient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009 - Hradec Kralove, Czech Republic
Duration: 2009 Sep 162009 Sep 17

Publication series

NameAmbient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009
Volume5

Conference

ConferenceAmbient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009
CountryCzech Republic
CityHradec Kralove
Period09/9/1609/9/17

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Keywords

  • Agent modeling
  • Machine learning
  • Multiagent simulation
  • Participatory simulation

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Ishida, T., Murakami, Y., & Nakajima, Y. (2009). Learning from human behavior in participatory simulation. In Ambient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009 (pp. 147-157). (Ambient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009; Vol. 5). https://doi.org/10.3233/978-1-60750-481-8-147