Arbeitspapier
Unrealistic models and how to identify them: on accounts of model realisticness
What determines the realisticness of a model? It is argued that to come up with an account of model realisticness that can answer this question, one has to make strong philosophical commitments to an account of representation, an account of model-world comparisons as well as the ontology of models and their targets. Without such commitments it is not feasible to determine the realisticness of a model. Since all these areas are subject to ongoing philosophical debate, it is not feasible to come up with a unique and all-encompassing account. Based on this observation, one account of model realisticness, which is based on an antirealist fictional view of models, a commitment to realism about mathematical objects, and the DEKI account of representation, is introduced and discussed. The account aligns well with the practice of applied scientists, who regularly apply validation techniques to assess the realisticness of models. This practice can nicely be accommodated for in the proposed account, and it suggests a number of promising avenues for further philosophical inquiry.
- Language
-
Englisch
- Bibliographic citation
-
Series: ICAE Working Paper Series ; No. 90
- Classification
-
Wirtschaft
- Subject
-
Models
epistemology
fictionalism
representation
model-world comparisons
- Event
-
Geistige Schöpfung
- (who)
-
Gräbner, Claudius
- Event
-
Veröffentlichung
- (who)
-
Johannes Kepler University Linz, Institute for Comprehensive Analysis of the Economy (ICAE)
- (where)
-
Linz
- (when)
-
2019
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Gräbner, Claudius
- Johannes Kepler University Linz, Institute for Comprehensive Analysis of the Economy (ICAE)
Time of origin
- 2019
Other Objects (12)
Reference models: how can we leverage them?
Reference models : how can we leverage them?
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Mathematical diseases in climate models and how to cure them
Women's cancers : How to prevent them, how to heal them, how to beat them
Artifacts resembling Ediacaran or Cambrian fossils: how to identify them and avoid their generation
A qualitative content analysis of "problem students": how can we identify and manage them?
The role of hyperparameters in machine learning models and how to tune them
How bugs are born: a model to identify how bugs are introduced in software components
Brand growth barriers : identify, understand, and overcome them
Correct identification decisions: How to obtain them and how to judge them
Nonverbal communication in recruiting : how to identify suitable applicants and attract them to your company
Reference models: how can we leverage them?
Reference models : how can we leverage them?
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Mathematical diseases in climate models and how to cure them
Women's cancers : How to prevent them, how to heal them, how to beat them
Artifacts resembling Ediacaran or Cambrian fossils: how to identify them and avoid their generation
A qualitative content analysis of "problem students": how can we identify and manage them?
The role of hyperparameters in machine learning models and how to tune them
How bugs are born: a model to identify how bugs are introduced in software components
Brand growth barriers : identify, understand, and overcome them
Correct identification decisions: How to obtain them and how to judge them
Nonverbal communication in recruiting : how to identify suitable applicants and attract them to your company
Reference models: how can we leverage them?
Reference models : how can we leverage them?
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Mathematical diseases in climate models and how to cure them
Women's cancers : How to prevent them, how to heal them, how to beat them
Artifacts resembling Ediacaran or Cambrian fossils: how to identify them and avoid their generation
A qualitative content analysis of "problem students": how can we identify and manage them?
The role of hyperparameters in machine learning models and how to tune them
How bugs are born: a model to identify how bugs are introduced in software components
Brand growth barriers : identify, understand, and overcome them
Correct identification decisions: How to obtain them and how to judge them