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Scientific Understanding and Representation

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Age Group_Uncategorized
Age Group_Uncategorized
Amanda Nichols
Angela Potochnik
Approximately True
automatic-update
B01=Elay Shech
B01=Insa Lawler
B01=Kareem Khalifa
Bjorken Scaling
Casey McCoy
Category1=Non-Fiction
Category=HPK
Category=PDR
Category=QDTK
Causal Pattern
Christopher Pincock
Collin Rice
COP=United Kingdom
Counterfactual Dependence
Daniel Kostic
De Regt
Deep Learning Models
Delivery_Delivery within 10-20 working days
Derivational Correctness
Dl Model
Elay Shech
Emily Sullivan
Empirical Adequacy
Epistemic Achievements
Epistemic Representation
Epistemic Risk
epistemology
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
exactitude
explanation and understanding in science
explanatory power
factivity
Finnur Dellsen
Henk de Regt
Ideal Gas Law
idealization in science
idealized representations
inferential reasoning
information flow
Insa Lawler
Jaakko Kuorikoski
James Nguyen
Jared Millson
Juha Saatsi
Kareem Khalifa
Language_English
machine learning
machine learning models
mapping
Mark Risjord
Mazviita Chirimuuta
Michael Tamir
Ml Model
modeling
modelling
molecular structures
Myron Penner
Non-epistemic Values
Ontic Structural Realism
PA=Available
Parton Model
Peer Disagreement
Pessimistic Meta-induction
philosophy of science
Price_€20 to €50
PS=Active
Quantum Field Theory
Representational Content
Roman Frigg
scientific explanation
scientific progress
scientific realism
second quantization
softlaunch
Target Phenomena
Topological Explanation
Unobservable Entities
verdicality problem

Product details

  • ISBN 9781032065816
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 26 Aug 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Description

This volume assembles cutting-edge scholarship on scientific understanding, scientific representation, and their delicate interplay. Featuring several articles in an engaging ‘critical conversation’ format, the volume integrates discussions about understanding and representation with perennial issues in the philosophy of science, including the nature of scientific knowledge, idealizations, scientific realism, scientific inference, and scientific progress.

In the philosophy of science, questions of scientific understanding and scientific representation have only recently been put in dialogue with each other. The chapters advance these discussions from a variety of fresh perspectives. They range from case studies in physics, chemistry, and neuroscience to the representational challenges of machine learning models; from special forms of representation such as maps and topological models to the relation between understanding and explanation; and from the role of idealized representations to the role of representation and understanding in scientific progress.

Scientific Understanding and Representation will appeal to scholars and advanced students working in philosophy of science, philosophy of physics, philosophy of mathematics, and epistemology.
About

Insa Lawler is Assistant Professor of Philosophy at the University of North Carolina at Greensboro, USA.

Kareem Khalifa is Professor of Philosophy at Middlebury College, USA. He is the author of Understanding, Explanation, and Scientific Knowledge (2017).

Elay Shech is Associate Professor of Philosophy at Auburn University, USA.