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• W4233414097 abstract "Shared understanding and collective power are social phenomena that serve as a form of glue between individual persons. They easily emerge and often involve both cognitive and affective aspects. As the behaviour of each person is based on complex internal mental processes involving, for example, own goals, emotions and beliefs, it would be expected that such sharedness and collectiveness is very hard to achieve. Apparently, specific mechanisms are required to tune the individual mental processes to each other in order to enable the emergence of shared mental states and collective behaviour. Having knowledge about these mechanisms from a biological context provides a basis to modeling corresponding mechanisms in a computational setting. From a biological perspective, mirror neurons and internal simulation are core concepts to explain the mechanisms underlying such social phenomena. In this chapter it is discussed how through a Network-Oriented Modeling approach such neurological concepts can be used to obtain human-like temporal-causal network models for such social phenomena. It is discussed how these models indeed are an adequate basis for the emergence of social phenomena such as shared understanding and collective power." @default.
• W4233414097 created "2022-05-12" @default.
• W4233414097 creator A5083304312 @default.
• W4233414097 date "2016-01-01" @default.
• W4233414097 modified "2023-10-16" @default.
• W4233414097 title "From Mirroring to the Emergence of Shared Understanding and Collective Power" @default.
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• W4233414097 doi "https://doi.org/10.1007/978-3-319-45213-5_7" @default.
• W4233414097 hasPublicationYear "2016" @default.
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