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- 94pages
- 4 heures de lecture
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Focusing on the use of models in scientific research, the book explores how these models help in understanding complex, distributed processes that are challenging to study empirically. It discusses various modeling approaches, revealing both straightforward and nuanced insights. The argument presented emphasizes that while models are valuable for epistemic purposes, their effectiveness in enhancing scientific understanding is maximized when combined with empirical methods and alternative theoretical frameworks.
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Modelling Scientific Communities, Cailin O'Connor
- Langue
- Année de publication
- 2023
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- Titre
- Modelling Scientific Communities
- Langue
- Anglais
- Auteurs
- Cailin O'Connor
- Éditeur
- Cambridge University Press
- Publié
- 2023
- Format
- rigide
- Pages
- 94
- ISBN13
- 9781009454087
- Séries
- Mots clés
- Nonfiction, Sciences sociales, Manuels, Manuels universitaires, Philosophie
- Évaluation
- 4 sur 5
- Description
- Focusing on the use of models in scientific research, the book explores how these models help in understanding complex, distributed processes that are challenging to study empirically. It discusses various modeling approaches, revealing both straightforward and nuanced insights. The argument presented emphasizes that while models are valuable for epistemic purposes, their effectiveness in enhancing scientific understanding is maximized when combined with empirical methods and alternative theoretical frameworks.