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Applying Data Fusion in a Rational Decision Making with Emotional Regulation

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 4850)


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.


  • Data Fusion
  • OWA
  • Rationality
  • Artificial Emotions
  • Decision Making

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© 2007 Springer-Verlag Berlin Heidelberg

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Fonooni, B., Moshiri, B., Lucas, C. (2007). Applying Data Fusion in a Rational Decision Making with Emotional Regulation. In: Lungarella, M., Iida, F., Bongard, J., Pfeifer, R. (eds) 50 Years of Artificial Intelligence. Lecture Notes in Computer Science(), vol 4850. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77295-8

  • Online ISBN: 978-3-540-77296-5

  • eBook Packages: Computer ScienceComputer Science (R0)