A multi-agent model for emotion generation

Nair*, Dong Hwa Kim, Yutaka Hatakeyama, Kaoru Hirota

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

We propose a method for the conversion of the perceived emotion into an understandable form and also propose a new algorithm for generation of response emotions in order to capture the feelings of human and adjust machines accordingly. We discuss our efforts to model a Multi Agent based Dynamic Emotion Emulator (MADEE) to be used in conjunction with mobile robots. We are currently using a Lego robot running the freely downloadable leJOS to carry out the method. The proposed algorithms make the communication to be more meaningful and interactive and the machines should not just provide mere answers to queries but respond with an understanding of the emotions of the human being interacting.

Original languageEnglish
Publication statusPublished - 2009
Externally publishedYes
EventInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009 - Tokyo, Japan
Duration: 7 Nov 20097 Nov 2009

Conference

ConferenceInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009
Country/TerritoryJapan
CityTokyo
Period7/11/097/11/09

Keywords

  • Communication robot
  • Emotion generation
  • Multi agent

Fingerprint

Dive into the research topics of 'A multi-agent model for emotion generation'. Together they form a unique fingerprint.

Cite this