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CAAF: A Cognitive Affective Agent Programming Framework

  • Frank Kaptein
  • Joost Broekens
  • Koen V. Hindriks
  • Mark Neerincx
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10011)

Abstract

Cognitive agent programming frameworks facilitate the development of intelligent virtual agents. By adding a computational model of emotion to such a framework, one can program agents capable of using and reasoning over emotions. Computational models of emotion are generally based on cognitive appraisal theory; however, these theories introduce a large set of appraisal processes, which are not specified in enough detail for unambiguous implementation in cognitive agent programming frameworks. We present CAAF (Cognitive Affective Agent programming Framework), a framework based on the belief-desire theory of emotions (BDTE), that enables the computation of emotions for cognitive agents (i.e., making them cognitive affective agents). In this paper we bridge the remaining gap between BDTE and cognitive agent programming frameworks. We conclude that CAAF models consistent, domain independent emotions for cognitive agent programming.

Keywords

Models of emotionally communicative behavior Theoretical foundations and formal models Dimensons of intelligence cognition and behavior 

Notes

Acknowledgements

This research is done for the PAL (a Personal Assistant for a healthy Lifestyle)-project. PAL is funded by Horizon2020 grant nr. 643783-RIA.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Frank Kaptein
    • 1
  • Joost Broekens
    • 1
  • Koen V. Hindriks
    • 1
  • Mark Neerincx
    • 1
  1. 1.Delft University of TechnologyDelftThe Netherlands

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