Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Building Optimal Macroscopic Representations of Complex Multi-agent Systems Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Understanding the Role of Emotions in Group Dynamics in Emergency Situations

Authors : Alexei Sharpanskykh, Kashif Zia

Published in: Transactions on Computational Collective Intelligence XV

Publisher: Springer Berlin Heidelberg

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Decision making under stressful circumstances, e.g., during evacuation, often involves strong emotions and emotional contagion from others. In this paper the role of emotions in social decision making in large technically assisted crowds is investigated. For this a formal, computational model is proposed, which integrates existing neurological and cognitive theories of affective decision making. Based on this model several variants of a large scale crowd evacuation scenario were simulated. By analysis of the simulation results it was established that (1) human agents supported by personal assistant devices are recognised as leaders in groups emerging in evacuation; (2) spread of emotions in a crowd increases the resistance of agent groups to opinion changes; (3) spread of emotions in a group increases its cohesiveness; (4) emotional influences in and between groups are, however, attenuated by personal assistant devices, when their number is large.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Building Optimal Macroscopic Representations of Complex Multi-agent Systems
next chapter Representation of the Agent Environment for Traffic Behavioral Simulation
Literature
1.
Barton, A.H.: Communities in Disaster: A Sociological Analysis of Collective Stress Situations. Doubleday, Garden City (1969)
2.
Bechara, A., Damasio, A.: The somatic marker hypothesis: a neural theory of economic decision. Games Econ. Behav. 52, 336–372 (2004)CrossRef
3.
Bickle, J.: Psychoneural Reduction: The New Wave. MIT Press, Cambridge (1998)
4.
Bosse, T., Jonker, C.M., van der Meij, L., Treur, J.: A language and environment for analysis of dynamics by simulation. Int. J. AI Tools 16, 435–464 (2007)CrossRef
5.
Bosse, T., Jonker, C.M., van der Meij, L., Sharpanskykh, A., Treur, J.: Specification and verification of dynamics in agent models. Int. J. Cooper. Inf. Syst. 18(1), 167–193 (2009)CrossRef
6.
Bosse, T., Hoogendoorn, M., Klein, M.C.A., Treur, J., van der Wal, C.N., van Wissen, A.: Modelling collective decision making in groups and crowds: integrating social contagion and interacting emotions, beliefs and intentions. Auton. Agents Multi-Agent Syst. J. 27, 52–84 (2013)CrossRef
7.
Damasio, A.: The Feeling of What Happens. Body and Emotion in the Making of Consciousness. Harcourt Brace, New York (1999)
8.
Damasio, A.: The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philos. Trans. R. Soc. Biol. Sci. 351, 1413–1420 (1996)CrossRef
9.
Damasio, A.: Descartes’ Error: Emotion, Reason and the Human Brain. Papermac, London (1994)
10.
Baillie, P., Lukose, D.: An affective decision making agent architecture using emotion appraisals. In: Ishizuka, M., Sattar, A. (eds.) PRICAI 2002. LNCS (LNAI), vol. 2417, pp. 581–590. Springer, Heidelberg (2002)
11.
Delgado, M.R., Phelps, E.A., Robbins, T.W.: Decision Making, Affect, and Learning: Attention and Performance XXIII. Oxford University Press, New York (2011)CrossRef
12.
Eich, E., Kihlstrom, J.F., Bower, G.H., Forgas, J.P., Niedenthal, P.M.: Cognition and Emotion. Oxford University Press, New York (2000)
13.
Ferscha, A., Farrahi, K., van den Hoven, J., Hales, D., Nowak, A., Lukowicz, P., Helbing, D.: Socio-inspired ICT - Towards a socially grounded society-ICT symbiosis. Eur. Phys. J. Spec. Top. 214, 401–434 (2012)CrossRef
14.
Gerstner, W., Kistler, W.M.: Mathematical formulations of Hebbian learning. Biol. Cybern. 87, 404–415 (2002)CrossRefMATH
15.
Hebb, D.O.: The Organisation of Behavior. Wiley, New York (1949)
16.
Hesslow, G.: Conscious thought as simulation of behaviour and perception. Trends Cogn. Sci. 6, 242–247 (2002)CrossRef
17.
Hoogendoorn, M., Treur, J., van der Wal, C., van Wissen, A.: Modelling the emergence of group decisions based on mirroring and somatic marking. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds.) BI 2010. LNCS (LNAI), vol. 6334, pp. 29–41. Springer, Heidelberg (2010)CrossRef
18.
Iacoboni, M.: Understanding others: imitation, language, empathy. In: Hurley, S., Chater, N. (eds.) Perspectives on Imitation: From Cognitive Neuroscience to Social Science, vol. 1, pp. 77–100. MIT Press, Perspectives on Imitation: From Cognitive Neuroscience to Social Science, vol. 1, pp. 77–100. MIT Press (2005)
19.
Janis, I., Mann, L.: Decision Making: A Psychological Analysis of Conflict, Choice, and Commitment. The Free Press, New York (1977)
20.
Kahneman, D., Slovic, P., Tversky, A.: Judgement Under Uncertainty - Heuristics and Biases. Cambridge University Press, Cambridge (1981)
21.
Lewin, K.: Group Decision and Social Change. Holt, Rinehart and Winston, New York (1958)
22.
Magee, J.C., Tiedens, L.Z.: Emotional ties that bind: the roles of valence and consistency of group emotion in inferences of cohesiveness and common fate. Pers. Soc. Psychol. Bull. 32, 1703–1715 (2006)CrossRef
23.
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, New York (1988)CrossRef
24.
Raven, B.H.: The bases of power: origins and recent developments. J. Soc. Issues 12(49), 227–251 (1992)
25.
Rizzolatti, G., Craighero, L.: The mirror-neuron system. Annu. Rev. Neurosci. 27, 69–92 (2004)CrossRef
26.
Saloma, C., Perez, G.J.: Herding in real escape panic. In: Proceedings of the 3rd International Conference on Pedestrian and Evacuation Dynamics. Springer, Heidelberg (2006)
27.
Santos, R., Marreiros, G., Ramos, C., Neves, J., Bulas-Cruz, J.: Multi-agent approach for ubiquitous group decision support involving emotions. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.J.-P. (eds.) UIC 2006. LNCS, vol. 4159, pp. 1174–1185. Springer, Heidelberg (2006)CrossRef
28.
Sharma, S.: Avatarsim. A multi-agent system for emergency evacuation simulation. J. Comput. Methods Sci. Eng. 9(1), 13–22 (2009)
29.
Steunebrink, B.R., Dastani, M., Meyer, J.-J.C.: A logic of emotions for intelligent agents. In: Proceedings of the 22nd Conference on Artificial Intelligence (AAAI 2007). AAAI Press, Menlo Park (2007)
30.
Svenson, O., Maule, A.J. (eds.): Time Pressure and Stress in Human Judgment and Decision-Making. Plenum, New York (1993)
31.
32.
Moore, D.S., McCabe, G.P.: Introduction to the Practice of Statistics. W. H. Freeman and Company, New York (2007)
33.
Marreiros, G., Santos, R., Ramos, C., Neves, J., Novais, P., Machado, J., Bulas-Cruz, J.: Ambient intelligence in emotion based ubiquitous decision making. In: Augusto, J.C., Shapiro, D. (eds.) Proceedings of the 2nd Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI), pp. 86–91 (2007)
34.
Oatley, K., Johnson-Laird, P.N.: Towards a cognitive theory of emotions. Cogn. Emotion 1, 29–50 (1987)CrossRef
35.
Vastfjall, D., Friman, M., Garling, T., Kleiner, M.: The measurement of core affect: a Swedish self-report measure. Scand. J. Psychol. 43, 19–31 (2002)CrossRef
Metadata
Title
Understanding the Role of Emotions in Group Dynamics in Emergency Situations
Authors
Alexei Sharpanskykh
Kashif Zia
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Transactions on Computational Collective Intelligence XV

Print ISBN: 978-3-662-44749-9

Electronic ISBN: 978-3-662-44750-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-662-44750-5_2

Premium Partner

    Image Credits