Modelling group behaviour in autonomous synthetic characters

Naziya Hussaini, Ruth Aylett

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

Abstract

This paper discusses the process of creating agents that are capable of socially interacting with each other and forming groups in a similar way to humans, without losing their autonomy. Our approach is to model group behaviour in autonomous agents by using FIRO (Fundamental Interpersonal Relationship Orientation) theory to add interpersonal drives to the existing FAtiMA- PSI architecture. This extends it for social agents that act as a collective group, and thus increasing their believability in-group situations.

Original languageEnglish
Title of host publicationIntelligent Virtual Agents
Subtitle of host publication15th International Conference, IVA 2015, Delft, The Netherlands, August 26-28, 2015, Proceedings
PublisherSpringer
Pages128-131
Number of pages4
Volume9238
ISBN (Electronic)9783319219967
ISBN (Print)9783319219950
DOIs
Publication statusPublished - 2015
Event15th International Conference on Intelligent Virtual Agents - Delft, Netherlands
Duration: 26 Aug 201528 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9238
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference15th International Conference on Intelligent Virtual Agents
Abbreviated titleIVA 2015
CountryNetherlands
CityDelft
Period26/08/1528/08/15

Keywords

  • Autonomous agents
  • FAtiMA-PSI
  • Group dynamics

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Hussaini, N., & Aylett, R. (2015). Modelling group behaviour in autonomous synthetic characters. In Intelligent Virtual Agents: 15th International Conference, IVA 2015, Delft, The Netherlands, August 26-28, 2015, Proceedings (Vol. 9238, pp. 128-131). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9238). Springer. https://doi.org/10.1007/978-3-319-21996-7_14