Configurable Appraisal Dimensions for Computational Models of Emotions of Affective Agents

  • Sergio Castellanos
  • Luis-Felipe RodríguezEmail author
  • J. Octavio Gutierrez-Garcia
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 948)


In this paper we introduce the concept of configurable appraisal dimensions for computational models of emotions of affective agents. Configurable appraisal dimensions are adjusted based on internal and/or external factors of influence on the emotional evaluation of stimuli. We developed influencing models to define the extent to which influencing factors should adjust configurable appraisal dimensions. Influencing models define a relationship between a given influencing factor and a given set of configurable appraisal dimensions. Influencing models translate the influence exerted by internal and external factors on the emotional evaluation into fuzzy logic adjustments, e.g., a shift in the limits of fuzzy membership functions. We designed and implemented a computational model of emotions based on real-world data about emotions to evaluate our proposal. Our empirical evidence suggests that the proposed mechanism properly influences the emotional evaluation of stimuli of affective agents.


Computational model of emotion Affective agent Fuzzy logic system Data-based computational model 



This work was supported by PFCE 2019. J. O. Gutierrez-Garcia gratefully acknowledges the financial support from the Asociación Mexicana de Cultura, A.C.


  1. 1.
    Rodríguez L-F, Gutierrez-Garcia JO, Ramos F (2016) Modeling the interaction of emotion and cognition in autonomous agents. Biol Inspired Cogn Arch 17:57–70Google Scholar
  2. 2.
    Dancy CL, Schwartz D (2017) A computational cognitive-affective model of decision-making. In: Proceedings of the 15th international conference on cognitive modeling, pp 31–36Google Scholar
  3. 3.
    LeDoux JE (1989) Cognitive-emotional interactions in the brain. Cogn Emot 3:267–289CrossRefGoogle Scholar
  4. 4.
    Mao X, Li Z (2010) Agent based affective tutoring systems: a pilot study. Comput Educ 55:202–208CrossRefGoogle Scholar
  5. 5.
    Marsella SC, Gratch J (2009) EMA: a process model of appraisal dynamics. Cogn Syst Res 10:70–90CrossRefGoogle Scholar
  6. 6.
    El-Nasr MS, Yen J, Ioerger TR (2000) Flame-fuzzy logic adaptive model of emotions. Auton Agent Multi-Agent Syst 3:219–257CrossRefGoogle Scholar
  7. 7.
    Breazeal C (2003) Emotion and sociable humanoid robots. Int J Hum Comput Stud 59:119–155CrossRefGoogle Scholar
  8. 8.
    Smith CA, Kirby LD (2000) Consequences require antecedents: toward a process model of emotion elicitation. Cambridge University Press, New YorkGoogle Scholar
  9. 9.
    Marinier RP, Laird JE, Lewis RL (2009) A computational unification of cognitive behavior and emotion. Cogn Syst Res 10:48–69CrossRefGoogle Scholar
  10. 10.
    Reisenzein R, Weber H (2009) Personality and emotion. In: The Cambridge handbook of personality psychology. Cambridge University Press, Cambridge, pp 54–71Google Scholar
  11. 11.
    Scherer KR (1993) Studying the emotion-antecedent appraisal process: an expert system approach. Cogn Emot 7:325–355CrossRefGoogle Scholar
  12. 12.
    Mesquita B, Ellsworth PC (2001) The role of culture in appraisal. In: Appraisal processes in emotion: theory, methods, research. Oxford University Press, New York, pp 233–248Google Scholar
  13. 13.
    Meuleman B, Scherer KR (2013) Nonlinear appraisal modeling: an application of machine learning to the study of emotion production. IEEE Trans Affect Comput 4:398–411CrossRefGoogle Scholar
  14. 14.
    Martı́nez-Miranda J, Aldea A (2005) Emotions in human and artificial intelligence. Comput Human Behav 21:323–341CrossRefGoogle Scholar
  15. 15.
    Rukavina S, Gruss S, Hoffmann H et al (2016) Affective computing and the impact of gender and age. PLoS ONE 11:e0150584CrossRefGoogle Scholar
  16. 16.
    Scheffer T (2005) Finding association rules that trade support optimally against confidence. Intell Data Anal 9:381–395CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sergio Castellanos
    • 1
  • Luis-Felipe Rodríguez
    • 1
    Email author
  • J. Octavio Gutierrez-Garcia
    • 2
  1. 1.Instituto Tecnológico de SonoraCd. ObregónMexico
  2. 2.ITAMCiudad de MéxicoMexico

Personalised recommendations