Emotional Agents at the Square Lattice

• Authors: A. Czaplicka , A. Chmiel , J. Hołyst
• Languages of publication: EN

Abstracts

EN

We introduce and investigate by numerical simulations a number of models of emotional agents at the square lattice. Our models describe the most general features of emotions such as the spontaneous emotional arousal, emotional relaxation, and transfers of emotions between different agents. Group emotions in the considered models are periodically fluctuating between two opposite valency levels and as result the mean value of such group emotions is zero. The oscillations amplitude depends strongly on probability p_{s} of the individual spontaneous arousal. For small values of relaxation times τ we observed a stochastic resonance, i.e. the signal to noise ratio SNR is maximal for a non-zero p_{s} parameter. The amplitude increases with the probability p of local affective interactions while the mean oscillations period increases with the relaxation time τ and is only weakly dependent on other system parameters. Presence of emotional antenna can enhance positive or negative emotions and for the optimal transition probability the antenna can change agents emotions at longer distances. The stochastic resonance was also observed for the influence of emotions on task execution efficiency.

Keywords

EN

89.75.Fb; 89.65.Ef

Discipline

• 89.65.Ef: Social organizations; anthropology
• 89.75.Fb: Structures and organization in complex systems

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2010
• Volume: 117
• Issue: 4
• Pages: 688-694

Dates

published

2010-04

Contributors

author

A. Czaplicka

• Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

author

A. Chmiel

• Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

author

J. Hołyst

• Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

References

• 1. C. Castellano, S. Fortunato, V. Loreto, Rev. Mod. Phys. 81, 591 (2009)
• 2. Ch. Schulze, D. Stauffer, Modeling Cooperative Behavior in the Social Sciences, AIP Conf. Proc. No. 779, AIP, New York, 2005, p. 49; X. Castelló, V.M. Eguiluz, M. San Miguel, New J. Phys. 8, 308 (2006); M.A. Nowak, N.L. Komarova, P. Niyogi, Nature (London) 417, 611 (2002)
• 3. R. Axelrod, J. Conflict, Resolut. 41, 203 (1997)
• 4. J. Sienkiewicz, J.A. Hołyst, Phys. Rev. E 80, 036103 (2009)
• 5. H. M Singer, I. Singer, H.J. Herrmann, Phys. Rev. E 80, 026113 (2009)
• 6. K. Kacperski, J.A. Hołyst, Physica A 269, 511 (1999); J.A. Hołyst, K. Kacperski, F. Schweitzer, ibid. 285, 199 (2000); K. Kacperski, J.A. Hołyst, ibid. 287, 631 (2000)
• 7. M.C. González, P.G. Lind, H.J. Herrmann, Phys. Rev. Lett. 96, 088702 (2006)
• 8. A. Cami, C. Lisetti, M. Sierhuis, in: Architectures for Modeling Emotion: Cross-Disciplinary Foundations, Eds. E. Hudlicka, L. Canamero, Papers from the 2004 AAAI Spring Symposium, March 22-24, 2004, AAAI Press, Menlo Park CA USA 2004, p. 5
• 9. R. Prabowo, M. Thelwall, J. Informetrics 3, 143 (2009)
• 10. M. Thelwall, D. Wilkinson, S. Uppal, J. Am. Soc. Information Sci. Technol. 61, 190 (2010)
• 11. R.R. Cornelius, The Science of Emotion, Prentice Hall 1996
• 12. B. Rimé, Emotion Review 1 No. 1, 60, 85 (2009)
• 13. A. Nowak, J. Szamrej, B. Latané, Psych. Rev. 97, 362 (1990)
• 14. L. Onsager, Phys. Rev. 65, 117 (1943)
• 15. L. Gammaitoni, P. Hänggi, P. Jung, P. Marchesoni, Rev. Mod. Phys. 70, 223 (1998)
• 16. R. Benzi, A. Sutera, A. Vulpiani, J. Phys. A 14, L453 (1981)
• 17. S. Matyjaskiewicz, A. Krawiecki, J.A. Hołyst, L. Schimansky-Geier, Phys. Rev. E 68, 016216 (2003)

Identifiers

DOI

10.12693/APhysPolA.117.688