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Towards Learning ‘Self' and Emotional Knowledge in Social and Cultural Human-Agent Interactions

Towards Learning ‘Self' and Emotional Knowledge in Social and Cultural Human-Agent Interactions
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Author(s): Wan Ching Ho (University of Hertfordshire, UK), Kerstin Dautenhahn (University of Hertfordshire, UK), Meiyii Lim (Heriot-Watt University, UK), Sibylle Enz (Otto-Friedrich-Universitaet Bamberg, Germany), Carsten Zoll (Otto-Friedrich-Universitaet Bamberg, Germany) and Scott Watson (University of Hertfordshire, UK)
Copyright: 2009
Volume: 1
Issue: 3
Pages: 28
Source title: International Journal of Agent Technologies and Systems (IJATS)
DOI: 10.4018/jats.2009070104

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Abstract

This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modeling a scenario of inter-cultural interactions. The ultimate aim of this VLE is to allow users to reflect upon and learn about intercultural communication and collaboration. Rather than predefining the interactions among the virtual agents and scripting the possible interactions afforded by this environment, we pursue a bottomup approach whereby inter-cultural communication emerges from interactions with and among autonomous agents and the user(s). The intelligent virtual agents that are inhabiting this environment are expected to be able to broaden their knowledge about the world and other agents, which may be of different cultural backgrounds, through interactions. This work is part of a collaborative effort within a European research project called eCIRCUS. Specifically, this article focuses on our continuing research concerned with emotional knowledge learning in autobiographic social agents.

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