eprintid: 27528
rev_number: 20
eprint_status: archive
userid: 4866
dir: disk0/00/02/75/28
datestamp: 2020-01-08 10:12:06
lastmod: 2020-01-21 10:33:32
status_changed: 2020-01-08 10:12:06
type: doctoralThesis
metadata_visibility: show
creators_name: Said, Nadia
title: Understanding Cognitive Processes Underlying Belief Polarization and Function-Learning: Experimental and Modeling Approaches
subjects: 150
divisions: 100200
divisions: 708000
adv_faculty: af-10
cterms_swd: cognitive modeling
cterms_swd: belief polarization
cterms_swd: non-linear processes
cterms_swd: agent-based modeling
cterms_swd: climate change
cterms_swd: function-learning
cterms_swd: ACT-R
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.
date: 2019
id_scheme: DOI
id_number: 10.11588/heidok.00027528
ppn_swb: 1687946868
own_urn: urn:nbn:de:bsz:16-heidok-275284
date_accepted: 2019-12-04
advisor: HASH(0x556120bf0378)
language: eng
bibsort: SAIDNADIAUNDERSTAND2019
full_text_status: public
place_of_pub: Heidelberg
citation:   Said, Nadia  (2019) Understanding Cognitive Processes Underlying Belief Polarization and Function-Learning: Experimental and Modeling Approaches.  [Dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/27528/1/Dissertation_NadiaSaid2019.pdf