Performance and design of RAC-filled steel RHS beams
Yang, Y., Zhang, Y. & Fu, F. ORCID: 0000-0002-9176-8159 (2022). Performance and design of RAC-filled steel RHS beams. Journal of Building Engineering, 46, article number 103734. doi: 10.1016/j.jobe.2021.103734
Abstract
Introduction. Several arguments suggest that motivated reasoning (occurring when beliefs are not solely shaped by accuracy, but also by other motives such as promoting self-esteem or self-protection) is important in delusions. However, classical theories of reasoning in delusion disregard the role of motivated reasoning. Thus, this role remains poorly understood.
Methods. To explore the role of motivated reasoning in delusions, here we propose a computational model of delusion based on a Bayesian decision framework. This proposes that beliefs are not only evaluated based on their accuracy (as in classical reasoning theories), but also based on the cost (in terms of reward and punishment) of rejecting them.
Results. The model proposes that, when the values at stake are high (as often it is the case in the context of delusion), a belief might be endorsed because rejecting it is evaluated as too costly, even if the belief is less accurate. This process might contribute to the genesis of delusions.
Conclusions. Our account offers an interpretation of how motivated reasoning might shape delusions. This can inspire research on the affective and motivational processes supporting delusions in clinical conditions such as in psychosis, neurological disorders, and delusional disorder.
Publication Type: | Article |
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Additional Information: | © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Publisher Keywords: | RAC-filled steel RHS beam; Experimental behaviour; Finite element (FE) model; Mechanical indexes; Simplified equations |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Departments: | School of Science & Technology > Engineering |
SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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