Modeling and Inferring in Science

In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 1-9 (2016)
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Abstract

Science continually contributes new models and rethinks old ones. The way inferences are made is constantly being re-evaluated. The practice and achievements of science are both shaped by this process, so it is important to understand how models and inferences are made. But, despite the relevance of models and inference in scientific practice, these concepts still remain contro-versial in many respects. The attempt to understand the ways models and infer-ences are made basically opens two roads. The first one is to produce an analy-sis of the role that models and inferences play in science. The second one is to produce an analysis of the way models and inferences are constructed, especial-ly in the light of what science tells us about our cognitive abilities. The papers collected in this volume go both ways.

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Author Profiles

Emiliano Ippoliti
Università degli Studi di Roma La Sapienza
Thomas Nickles
University of Nevada, Reno
Fabio Sterpetti
Università degli Studi di Roma La Sapienza

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References found in this work

Models in Science (2nd edition).Roman Frigg & Stephan Hartmann - 2021 - The Stanford Encyclopedia of Philosophy.
Inference to the Best Explanation.Peter Lipton - 1991 - London and New York: Routledge.
Précis of Inference to the Best Explanation, 2 nd Edition.Peter Lipton - 2007 - Philosophy and Phenomenological Research 74 (2):421-423.

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