Collective decision making involves on the one hand individual mental states such as beliefs, emotions and intentions, and on the other hand interaction with others with possibly different mental states. Achieving a satisfactory common group decision on which all agree requires that such mental states are adapted to each other by social interaction. Recent developments in Social Neuroscience have revealed neural mechanisms by which such mutual adaptation can be realised. These mechanisms not only enable intentions to converge to an emerging common decision, but at the same time enable to achieve shared underlying individual beliefs and emotions. This paper presents a computational model for such processes. © 2010 Springer-Verlag.
CITATION STYLE
Hoogendoorn, M., Treur, J., Van Der Wal, C. N., & Van Wissen, A. (2010). Modelling the interplay of emotions, beliefs and intentions within collective decision making based on insights from social neuroscience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6443 LNCS, pp. 196–206). https://doi.org/10.1007/978-3-642-17537-4_25
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