TY - GEN
T1 - A system dynamics and agent-based approach to model emotions in collaborative networks
AU - Ferrada, Filipa
AU - Camarinha-Matos, Luis M.
N1 - sem pdf conforme despacho.
Portuguese FCT-PEST program - UID/EEA/00066/2013.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - A good amount of research within the last few decades has been focusing on computational models of emotion and the relationships they have with human emotional processes and how they affect the surrounding environments. The study of emotions is interdisciplinary and ranges from basic human emotion research, like in psychology, to the social sciences studies present in sociology. The interactions between those and the computational sciences are becoming a challenge. One particular challenge that is presented in this paper is the study of collaborative emotions within a Collaborative Network (CN) environment. A CN is composed of different participants with different interaction characteristics such as, expectations, will to cooperate and share, leadership, communication, and organizational abilities, among others. This paper presents an approach, based on system dynamics and agent-based modeling, to model the emotional state of an individual member of the network (via a non-intrusive way). Some simulation results illustrate the approach.
AB - A good amount of research within the last few decades has been focusing on computational models of emotion and the relationships they have with human emotional processes and how they affect the surrounding environments. The study of emotions is interdisciplinary and ranges from basic human emotion research, like in psychology, to the social sciences studies present in sociology. The interactions between those and the computational sciences are becoming a challenge. One particular challenge that is presented in this paper is the study of collaborative emotions within a Collaborative Network (CN) environment. A CN is composed of different participants with different interaction characteristics such as, expectations, will to cooperate and share, leadership, communication, and organizational abilities, among others. This paper presents an approach, based on system dynamics and agent-based modeling, to model the emotional state of an individual member of the network (via a non-intrusive way). Some simulation results illustrate the approach.
KW - Agent-based modeling
KW - Collaborative emotions
KW - Collaborative networks
KW - Emotions
KW - System dynamics
UR - https://www.scopus.com/pages/publications/85018188395
U2 - 10.1007/978-3-319-56077-9_3
DO - 10.1007/978-3-319-56077-9_3
M3 - Conference contribution
AN - SCOPUS:85018188395
SN - 9783319560762
VL - 499
T3 - IFIP Advances in Information and Communication Technology
SP - 29
EP - 43
BT - Technological Innovation for Smart Systems - 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, Proceedings
PB - Springer New York LLC
T2 - 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017
Y2 - 3 May 2017 through 5 May 2017
ER -