A. L. Laureano-Cruces, M. Mora-Torres, J. Ramírez-Rodríguez and F. De Arriaga-Gómez, “Operative Strategies Related to an Affective-Motivational Architecture to Achieve Instructional Objectives,” ICGST-Artificial Intelligence Machine Learning Journal, Vol. 11, No. 2, 2011, pp. 15-20.
http://www.icgst.com/paper.aspx?pid=P1121139825

has been cited by the following article:

• TITLE: An Affective-Motivational Interface for a Pedagogical Agent

  AUTHORS: Martha Mora-Torres, Ana Lilia Laureano-Cruces, Fernando Gamboa-Rodríguez, Javier Ramírez-Rodríguez, Lourdes Sánchez-Guerrero

  KEYWORDS: Affective-Motivational Model; Intelligent Learning System; Pedagogical Agent; Affective Computing; Simulation of Emotions

  JOURNAL NAME: International Journal of Intelligence Science, Vol.4 No.1, December 17, 2013

  ABSTRACT: 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.