Multimodal training between agents

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

In the system Locator1, agents are treated as individual and autonomous subjects that are able to adapt to heterogenous user groups. Applying multimodal information from their surroundings (visual and linguistic), they acquire the necessary concepts for a successful interaction. This approach has proven successful in a domain that exhibits a remarkable variety of possible (often language-specific) structurings: the spatial domain. In this paper, the further development is described (Locator2) that allows for agent-agent interactions such that an agent is instructed by another agent that plays the role of a teacher.
Original languageEnglish
Title of host publicationIntelligent Virtual Agents
Number of pages6
PublisherSpringer
Publication date2003
Pages348-353
Publication statusPublished - 2003

Keywords

  • Virtual Agents
  • concept development
  • Adaptive systems

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