Skip to main content
Log in

Emotions and temperament of robots: Behavioral aspects

  • Robotics
  • Published:
Journal of Computer and Systems Sciences International Aims and scope

Abstract

An approach to the control of robots behavior based on the emotion and temperament mechanism is proposed. It is shown that these psychological features can be simulated fairly simply. The proposed emotion-based architecture of the robot control system leans upon the Simonov informational theory of emotions, while the specific features of temperament are reduced to a two-parameter model of the excitation-inhibition type. Experiments performed with mobile robots are described. These experiments demonstrate a set of various types of robots’ behavior: melancholic, choleric, sanguine, and phlegmatic. All these types were implemented using the so-called temperament controller, which determines a balance between the excitation and inhibition parameters of the robot control system. An FSM-based model of temperament is also proposed that makes it possible to describe the behavior of an individual. Using this model, it is shown that, for performing certain collective behavior tasks, it is useful to have in the group individuals with different behavior so that this behavior also depends on the individual emotions and temperament of robots.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. D. Evans, “Can Robots Have Emotions?” Psychology Rev. 11(1), 2–5 (2004).

    Google Scholar 

  2. V. Braitenberg, Vehicles: Experiments in Synthetic Psychology (MA: MIT Press, Cambridge, 1984).

    Google Scholar 

  3. C. Breazeal and R. Brooks, “Robot Emotion: A Functional Perspective,” in Who Needs Emotions? The Brain Meets the Robot, Ed. by J. Fellous and M. Arbib (Oxford University Press, Oxford, 2005), pp. 271–310.

    Chapter  Google Scholar 

  4. J. Hirth and K. Berns, “Motives as intrinsic activation for human-robot interaction,” in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Acropolis Convention Center. Nice, France, 2008, pp. 773–778.

  5. C. Buiu and N. Popescu, “Aesthetic Emotions in Human-Robot Interaction. Implications on Interaction Design of Robotic Artists,” Int. J. Innovative Comput., Inform. Control 7, 1097–1108 (2011).

    Google Scholar 

  6. G. A. Hollinger, Y. Georgiev, A. Manfredi, B. A. Maxwell, Z. A. Pezzementi, and B. Mitchell, “Design of a social mobile robot using emotion-based decision mechanisms,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2006), Bejing, 2006, pp. 3093–3098.

  7. S. Garnier, C. Jost, R. Jeanson, J. Gautrais, M. Asadpour, G. Capratri, and G. Theraulaz, “Collective decisionmaking by a group of cockroach-like robots,” in Proc. of the Swarm Intelligence Symposium, Los Alamitos, 2005, pp. 233–240.

  8. V. E. Karpov, “Particular mechanisms of leadership and self-consciousness in group robotics,” in Proc. of the 13th National Conf. on Artificial Intelligence KII-2012, Belgord, 2012, (Belgorod State Technical University, Belgorod, 2012), Vol. 3, pp. 275–283 [in Russian].

    Google Scholar 

  9. T. Kuremoto, M. Obayashi, K. Kobayashi, and L. Feng, “Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity,” Lect. Notes in Bioinformatics (LNBI), (Springer, 2010), Vol. 6330, pp. 541–547.

    Google Scholar 

  10. V. E. Karpov, “Emotions of robots,” in Proc. of the 12th National Conf. on Artificial Intelligence KII-2010, Moscow, 2010, (Fizmatlit, Moscow, 2010), Vol. 3, pp. 354–368 [in Russian].

    Google Scholar 

  11. P. V. Simonov, “Need and information theory of emotions,” Vopr. Psikhol., No. 6, 44–56 (1982).

    Google Scholar 

  12. V. P. Simonov, “Thwarted action and need-informational theories of emotions,” Int. J. Comparative Psychol. 5(2) (1991).

    Google Scholar 

  13. I. P. Pavlov, General Types of Higher Nervous Activity in Animals and Humans, (Direkt-Media, Moscow, 2008) [in Russian].

    Google Scholar 

  14. W. Ruch, “Pavlov’s types of nervous system, Eysenck’s typology and the Hippocrates-Galen temperaments: An empirical examination of the asserted correspondence of three temperament typologies,” Personality Individual Differences 13, 1259–1271 (1992).

    Article  MathSciNet  Google Scholar 

  15. D. Barteneva, N. Lau, and L. P. Reis, “A computational study on emotions and temperament in multi-agent systems,” in Proc. AISB’07: Artificial and Ambient Intelligence, Newcastle, UK, 2008, pp. 64–71.

  16. D. Keltner, D. H. Gruenfeld, and C. Anderson, “Power, approach, and inhibition,” Psychol. Rev., No. 110, 265–284 (2003).

    Google Scholar 

  17. H. Schrobsdorff, M. Ihrke, J. Behrendt, M. Hasselhorn, J. M. Herrmann, “Inhibition in the dynamics of selective attention: An integrative model for negative priming,” Front Psychol. 3(491) (2012).

    Google Scholar 

  18. Transmarginal inhibition, Enpsychopedia. http://enpsychopedia.org/index.php?title = Transmarginal-Inhibition. Accessed 2008.

  19. I. P. Pavlov, Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex (Oxford University Press, Oxford, 1927; URSS, Moscow, 2010).

    Google Scholar 

  20. M. Okun and I. Lampl, Balance of Excitation and Inhibition, Scholapedia. http://www.scholarpedia.org/article/Balance_of_excitation_and_inhibition. Accessed 2009.

  21. M. L. Tsetlin, Studies in the Theory of Finite State Machines and Simulation of Biological Systems (Nauka, Moscow, 1969) [in Russian].

    Google Scholar 

  22. V. I. Varshavskii and D. A. Pospelov, An Orchestra Plays without Conductor: Considerations on the Evolution of some Technical Systems and Their Control (Nauka, Moscow, 1984) [in Russian].

    Google Scholar 

  23. T. H. Labella, M. Dorigo, and J-L. Deneubourg, “Division of Labour in a Group of Robots Inspired by Ants’ Foraging Behaviour,” Technical Report No. TR/IRIDIA/2004-013, Univ. of Libre de Bruxelles, 2006.

    Google Scholar 

  24. J. Hecker, K. Letendre, K. Stolleis, D. Washington, and M. Moses, “Formica ex machina: Ant swarm foraging from physical to virtual and back again,” in ANTS’12 Proc. of the 8th Int. Conf. on Swarm Intelligence, Lect. Notes Comput. Sci. 7461, 252–259 (2012).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. E. Karpov.

Additional information

Original Russian Text © V.E. Karpov, 2014, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2014, No. 5, pp. 126–145.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karpov, V.E. Emotions and temperament of robots: Behavioral aspects. J. Comput. Syst. Sci. Int. 53, 743–760 (2014). https://doi.org/10.1134/S1064230714050098

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1064230714050098

Keywords

Navigation