2020
DOI: 10.1093/bjps/axy058
|View full text |Cite
|
Sign up to set email alerts
|

Beyond Explanation: Understanding as Dependency Modelling

Abstract: This paper presents and argues for an account of objectual understanding that aims to do justice to the full range of cases of scientic understanding, including cases in which one does not have an explanation of the understood phenomenon. According to the proposed account, one understands a phenomenon just in case one grasps a suciently accurate and comprehensive model of the ways in which it or its features are situated within a network of dependence relations; one's degree of understanding is proportional to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
34
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 32 publications
(35 citation statements)
references
References 56 publications
0
34
0
1
Order By: Relevance
“…What has this got to do with understanding? Well, on the view of scientific understanding I favor (Dellsén 2020 ), the latter can be defined in terms of the former: an agent S understands X if and only if S grasps a sufficiently accurate and comprehensive dependency model of X ; and S ’s degree of understanding of X is proportional to the accuracy and comprehensiveness of their dependency model of X . I note immediately that the target of this type of understanding, X , is some part of our world; not a mere representation thereof, such as a theory, concept, or explanation.…”
Section: The Noetic Account Revised and Elaboratedmentioning
confidence: 99%
See 1 more Smart Citation
“…What has this got to do with understanding? Well, on the view of scientific understanding I favor (Dellsén 2020 ), the latter can be defined in terms of the former: an agent S understands X if and only if S grasps a sufficiently accurate and comprehensive dependency model of X ; and S ’s degree of understanding of X is proportional to the accuracy and comprehensiveness of their dependency model of X . I note immediately that the target of this type of understanding, X , is some part of our world; not a mere representation thereof, such as a theory, concept, or explanation.…”
Section: The Noetic Account Revised and Elaboratedmentioning
confidence: 99%
“… 7 For arguments that it is superior, see Dellsén ( 2020 ). Rival accounts are provided by, among others, Strevens ( 2013 ), Wilkenfeld ( 2013 ), Grimm ( 2014 ), Bengson ( 2015 ), Elgin ( 2017 ), de Regt ( 2017 ), and Khalifa ( 2017 ), although many of these accounts have important similarities with mine.…”
mentioning
confidence: 99%
“…Thus far, we have focused on understanding why, or explanatory understanding. This is frequently contrasted with objectual understanding (Baumberger and Brun 2017; Carter and Gordon 2014; Dellsén 2018; Elgin 2017; Kelp 2015; Kvanvig 2003). The clearest difference between explanatory and objectual understanding occurs at the level of grammar.…”
Section: Verstehen As Scientific Understandingmentioning
confidence: 99%
“…Our observation is at odds with views that define understanding as consisting in having an explanation (de Regt, 2017 ; Hills, 2016 ; Khalifa, 2017 ). In contrast, our case study favours those accounts according to which understanding is a very specific skill of the members of a scientific community that can be realised through a plurality of cognitive pathways (Dellsén, 2020 ; Verreault-Julien, 2019 ).…”
Section: Introductionmentioning
confidence: 56%
“…We highlighted the epistemic value of non-causal, but descriptive models, and their relevance for contemporary scientific research. This suggests that understanding cannot merely consist in having an explanation (de Regt, 2017 ; Grimm, 2010 ; Hills, 2016 ; Khalifa, 2017 ), but it is a scientific skill that can be realised through multiple types of cognitive achievements (Dellsén, 2020 ; Verreault-Julien, 2019 ) (for a summary see Grimm et al, 2016 ; Grimm, 2021 ). Furthermore, we shed light on how these models evolve over time, and how they are generally responsive to evidence.…”
Section: Discussionmentioning
confidence: 99%