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Applying Data Fusion in a Rational Decision Making with Emotional Regulation

  • Benjamin Fonooni
  • Behzad Moshiri
  • Caro Lucas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4850)

Abstract

This paper focuses on designing a goal based rational component of a believable agent which has to interact with facial expressions with humans in communicative scenarios like teaching. One of the main concerns of the proposed model is to define interactions among rationality, personality and emotion in order to fulfill the idea of making rational decisions with emotional regulation. Our research aims are directed towards improving decision making process by means of applying Data Fusion techniques, especially Ordered Weighted Averaging (OWA) operator as a goal selection mechanism. Also the issue of obtaining weights for OWA aggregation is discussed. Finally the suggested algorithm is tested and results are provided with a real benchmark.

Keywords

Data Fusion OWA Rationality Artificial Emotions Decision Making 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Benjamin Fonooni
    • 1
  • Behzad Moshiri
    • 2
  • Caro Lucas
    • 2
  1. 1.Young Researchers Club, TehranIran
  2. 2.Control and Intelligent Processing, Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, TehranIran

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