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Identifying Emotions in Organizational Settings : towards dealing with morality

Terán, Oswaldo and Sibertin-Blanc, Christophe and Gaudou, Benoit Identifying Emotions in Organizational Settings : towards dealing with morality. (2014) In: International Conference on Agents and Artificial Intelligence - ICAART 2014, 6 March 2014 - 8 March 2014 (Angers, France).

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Emotions play an essential role in the behaviour of human beings, either at their sudden occurrence or by the continuous care to prevent the occurrence of unpleasant ones and to search for the occurrence of pleasant ones. Notably, in any system of collective action, they influence the behaviours of the actors with respect to each others. SocLab is a framework devoted to the study of the functioning of social organizations, through the agent-based modelling of their structure and the simulation of the processes by which the actors adjust their behaviours the one to another and so regulate the organization. This position paper shows how SocLab enables to characterize the configurations of an organization that are likely to arouse different kinds of social emotions in the actors, in order to cope with the emotional dimension of their behaviours. The case of a concrete organization is introduced to illustrate this approach and its usefulness for a deeper understanding of the functioning of organizations.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01151031
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Universidad de Los Andes (VENEZUELA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:07 May 2015 08:08

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