%0 Generic
%A Said, Nadia
%C Heidelberg
%D 2019
%F heidok:27528
%R 10.11588/heidok.00027528
%T Understanding Cognitive Processes Underlying Belief Polarization and Function-Learning: Experimental and Modeling Approaches
%U https://archiv.ub.uni-heidelberg.de/volltextserver/27528/
%X The beliefs we hold not only influence how we seek out and perceive new information but also influence whether we take action and thus have far reaching impact on decision-making.  The main goal of the present research is twofold: First, to contribute to the understanding of propagation and polarization of beliefs from a cognitive perspective by  integrating experimental findings regarding confidence in climate change knowledge and cognitive modeling approaches into an agent-based belief model. Second, to outline how an implementation of a function-learning model in a cognitive architecture, based on two experiments, can contribute to a better understanding of cognitive processes underlying the understanding of non-linear functions.