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A hybrid approach to model a Bayesian network of culture-specific behavior

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Abstract

Cultural background can crucially influence human behavior. For virtual characters, that are supposed to imitate human behavior in a natural manner, integrating cultural background came into focus the recent years. Unlike earlier approaches, this paper presents a hybrid approach of modeling a Bayesian network that generates culture-specific behaviors for virtual characters. For the hybrid approach, the structure of the network is designed based on social science theories, while its parameters are derived from a video corpus.

Original languageEnglish
Title of host publication13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1395-1396
Number of pages2
ISBN (Electronic)9781634391313
Publication statusPublished - 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
Duration: 5 May 20149 May 2014

Publication series

Name13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Volume2

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Country/TerritoryFrance
CityParis
Period5/05/149/05/14

Bibliographical note

Publisher Copyright:
Copyright © 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

Keywords

  • Bayesian networks
  • Culture
  • Nonverbal behavior
  • Virtual agents

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