Cognitive-Affective Interactions in Human Decision-Making: A Neurocomputational Approach
نویسنده
چکیده
To develop realistic computational cognitive models of human decision making, it is essential to incorporate various traditionally non-cognitive but critically important soft factors into the model development, such as cultural biases, intuition, emotion, social norms, etc. In this paper we attempt to explore human cognitive-affective interactions in strategic thinking through a neurocomputational modeling approach. To empirically justify the model, we carried out a neuroimaging experiment using the ultimatum game.
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تاریخ انتشار 2006