In this paper a computational analysis is made of the circumstances under which joint decisions are or are not reached. Joint decision making as considered does not only concern a choice for a common decision option, but also a good feeling about it, and mutually acknowledged empathic understanding. As a basis a computational social agent model for joint decision making is used. The model was inspired by principles from neurological theories on mirror neurons, internal simulation, and emotion-related valuing. The computational analysis determines the different possible outcomes of joint decision making processes, and the types of processes leading to these outcomes.
CITATION STYLE
Duell, R., & Treur, J. (2012). A computational analysis of joint decision making processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7710, pp. 292–308). Springer Verlag. https://doi.org/10.1007/978-3-642-35386-4_22
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