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  • 标题:An Affective-Motivational Interface for a Pedagogical Agent
  • 本地全文:下载
  • 作者:Martha Mora-Torres ; Ana Lilia Laureano-Cruces ; Fernando Gamboa-Rodríguez
  • 期刊名称:International Journal of Intelligence Science
  • 印刷版ISSN:2163-0283
  • 电子版ISSN:2163-0356
  • 出版年度:2014
  • 卷号:4
  • 期号:1
  • 页码:17-23
  • DOI:10.4236/ijis.2014.41003
  • 出版社:Scientific Research Publishing
  • 摘要:This research is framed within the affective computing, which explains the importance of emotions in human cognition (decision making, perception, interaction and human intelligence). Applying this approach to a pedagogical agent is an essential part to enhance the effectiveness of the teaching-learning process of an intelligent learning system. This work focuses on the design of the inference engine that will give life to the interface, where the latter is represented by a pedagogical agent. The inference engine is based on an affective-motivational model. This model is implemented by using artificial intelligence technique called fuzzy cognitive maps.
  • 关键词:Affective-Motivational Model; Intelligent Learning System; Pedagogical Agent; Affective Computing; Simulation of Emotions
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