Directly to content
  1. Publishing |
  2. Search |
  3. Browse |
  4. Recent items rss |
  5. Open Access |
  6. Jur. Issues |
  7. DeutschClear Cookie - decide language by browser settings

Understanding Cognitive Processes Underlying Belief Polarization and Function-Learning: Experimental and Modeling Approaches

Said, Nadia

[img] PDF, English
Download (7MB) | Terms of use

Citation of documents: Please do not cite the URL that is displayed in your browser location input, instead use the DOI, URN or the persistent URL below, as we can guarantee their long-time accessibility.

Abstract

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.

Item Type: Dissertation
Supervisor: Funke, Prof. Dr. Dr. h. c. Joachim
Place of Publication: Heidelberg
Date of thesis defense: 4 December 2019
Date Deposited: 08 Jan 2020 10:12
Date: 2019
Faculties / Institutes: The Faculty of Behavioural and Cultural Studies > Institute of Psychology
Service facilities > Interdisciplinary Center for Scientific Computing
Subjects: 150 Psychology
Controlled Keywords: cognitive modeling, belief polarization, non-linear processes, agent-based modeling, climate change, function-learning, ACT-R
About | FAQ | Contact | Imprint |
OA-LogoDINI certificate 2013Logo der Open-Archives-Initiative