Description
Scientific Models and Decision Making provides a comprehensive philosophical examination of how scientists use models to make decisions in research and applied contexts. The authors explore the intricate relationship between model construction, validation, and practical application in decision-making scenarios.
This work addresses fundamental questions about model reliability, uncertainty quantification, and the translation of scientific knowledge into actionable insights. It considers how models in climate science, engineering, medicine, and other fields inform high-stakes decisions despite inherent limitations and simplifications.
The book bridges philosophy of science with practical decision theory, offering valuable perspectives for both researchers and policymakers who rely on scientific models. It contributes to ongoing debates about scientific realism, model-world relationships, and the appropriate use of scientific evidence in decision contexts.
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