Scientific Understanding and Representation
Modeling in the Physical Sciences
Herausgeber: Lawler, Insa; Shech, Elay; Khalifa, Kareem
Scientific Understanding and Representation
Modeling in the Physical Sciences
Herausgeber: Lawler, Insa; Shech, Elay; Khalifa, Kareem
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This volume brings together leading scholars working on understanding and representation in philosophy of science. It features a critical conversation format between contributors that advances debates concerning scientific understanding, scientific representation, and their delicate interplay.
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This volume brings together leading scholars working on understanding and representation in philosophy of science. It features a critical conversation format between contributors that advances debates concerning scientific understanding, scientific representation, and their delicate interplay.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 20
- Erscheinungstermin: 26. August 2024
- Englisch
- Abmessung: 229mm x 152mm x 22mm
- Gewicht: 572g
- ISBN-13: 9781032065816
- ISBN-10: 1032065818
- Artikelnr.: 71237284
- Verlag: Taylor & Francis
- Seitenzahl: 20
- Erscheinungstermin: 26. August 2024
- Englisch
- Abmessung: 229mm x 152mm x 22mm
- Gewicht: 572g
- ISBN-13: 9781032065816
- ISBN-10: 1032065818
- Artikelnr.: 71237284
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.
1. Introduction
Kareem Khalifa
Insa Lawler
and Elay Shech; Part I: Understanding
Knowledge
and Explanation; 2. Can Scientific Understanding be Reduced to Knowledge?
Henk W. de Regt; 3. Should Friends and Frenemies of Understanding be Friends? Discussing de Regt
Kareem Khalifa; 4. Frenemies or Friends? A Reply to Kareem Khalifa
Henk W. de Regt; 5. Onwards
My Friend! Reply to de Regt
Kareem Khalifa; 6. Factivism in Historical Perspective: Understanding the Gravitational Deflection of Light
Sorin Bangu; 7. Ideal Patterns and Non-Factive Understanding
Mazviita Chirimuuta; 8. Topological Explanations: An Opinionated Appraisal
Daniel Kosti¿; 9. Explanatory Power: Factive vs. Pragmatic Dimension
Juha Saatsi; Part II: Understanding and Scientific Realism; 10. Understanding the Success of Science
Christopher Pincock; 11. Truth and Reality: How to be a Scientific Realist Without Believing Scientific Theories Should be True
Angela Potochnik; 12. Defensible Scientific Realism: A Reply to Potochnik
Christopher Pincock; 13. Different Ways to be a Realist: A Response to Pincock
Angela Potochnik; 14. Realism About Molecular Structures
Amanda J. Nichols and Myron A. Penner; 15. Anti-Fundamentalist Lessons for Scientific Representation from Scientific Metaphysics
Julia R.S. Bursten; Part III: Understanding
Representation
and Inference; 16. Factivity
Pluralism and the Inferential Account of Scientific Understanding
Jaakko Kuorikoski; 17. Scientific Representation and Understanding: A Communal and Dynamical View
Collin Rice; 18. Representation and Understanding are Constitutively Communal but Not Constitutively Historical
Jaakko Kuorikoski; 19. Which Modal Information and Abilities Are Required for Inferential Understanding?
Collin Rice; 20. Maps
Models
and Representation
James Nguyen and Roman Frigg; 21. DEKI
Denotation
and the Fortuitous Misuse of Maps
Jared Millson and Mark Risjord; 22. DEKI and the Mislocation of Justification: A Response to Millson and Risjord
Roman Frigg and James Nguyen; 23. DEKI and the Justification of Surrogative Inference: A Response
Jared Millson and Mark Risjord; 24. How Values Shape the Machine Learning Opacity Problem
Emily Sullivan; 25. Understanding from Deep Learning Models in Context
Michael Tamir and Elay Shech; 26. Link Uncertainty
Implementation
and ML Opacity: Some Clarifications
Emily Sullivan; 27. Expecting Too Much from Our Machine Learning Models
Elay Shech and Michael Tamir; Part IV: Understanding and Scientific Progress; 28. Understanding the Progress of Science
C. D. McCoy; 29. Scientific Progress Without Justification
Finnur Dellsén; 30. The Significance of Justification for Progress: A Reply to Dellsén
C. D. McCoy; 31. Scientific Progress without Problems
Finnur Dellsén.
Kareem Khalifa
Insa Lawler
and Elay Shech; Part I: Understanding
Knowledge
and Explanation; 2. Can Scientific Understanding be Reduced to Knowledge?
Henk W. de Regt; 3. Should Friends and Frenemies of Understanding be Friends? Discussing de Regt
Kareem Khalifa; 4. Frenemies or Friends? A Reply to Kareem Khalifa
Henk W. de Regt; 5. Onwards
My Friend! Reply to de Regt
Kareem Khalifa; 6. Factivism in Historical Perspective: Understanding the Gravitational Deflection of Light
Sorin Bangu; 7. Ideal Patterns and Non-Factive Understanding
Mazviita Chirimuuta; 8. Topological Explanations: An Opinionated Appraisal
Daniel Kosti¿; 9. Explanatory Power: Factive vs. Pragmatic Dimension
Juha Saatsi; Part II: Understanding and Scientific Realism; 10. Understanding the Success of Science
Christopher Pincock; 11. Truth and Reality: How to be a Scientific Realist Without Believing Scientific Theories Should be True
Angela Potochnik; 12. Defensible Scientific Realism: A Reply to Potochnik
Christopher Pincock; 13. Different Ways to be a Realist: A Response to Pincock
Angela Potochnik; 14. Realism About Molecular Structures
Amanda J. Nichols and Myron A. Penner; 15. Anti-Fundamentalist Lessons for Scientific Representation from Scientific Metaphysics
Julia R.S. Bursten; Part III: Understanding
Representation
and Inference; 16. Factivity
Pluralism and the Inferential Account of Scientific Understanding
Jaakko Kuorikoski; 17. Scientific Representation and Understanding: A Communal and Dynamical View
Collin Rice; 18. Representation and Understanding are Constitutively Communal but Not Constitutively Historical
Jaakko Kuorikoski; 19. Which Modal Information and Abilities Are Required for Inferential Understanding?
Collin Rice; 20. Maps
Models
and Representation
James Nguyen and Roman Frigg; 21. DEKI
Denotation
and the Fortuitous Misuse of Maps
Jared Millson and Mark Risjord; 22. DEKI and the Mislocation of Justification: A Response to Millson and Risjord
Roman Frigg and James Nguyen; 23. DEKI and the Justification of Surrogative Inference: A Response
Jared Millson and Mark Risjord; 24. How Values Shape the Machine Learning Opacity Problem
Emily Sullivan; 25. Understanding from Deep Learning Models in Context
Michael Tamir and Elay Shech; 26. Link Uncertainty
Implementation
and ML Opacity: Some Clarifications
Emily Sullivan; 27. Expecting Too Much from Our Machine Learning Models
Elay Shech and Michael Tamir; Part IV: Understanding and Scientific Progress; 28. Understanding the Progress of Science
C. D. McCoy; 29. Scientific Progress Without Justification
Finnur Dellsén; 30. The Significance of Justification for Progress: A Reply to Dellsén
C. D. McCoy; 31. Scientific Progress without Problems
Finnur Dellsén.
1. Introduction
Kareem Khalifa
Insa Lawler
and Elay Shech; Part I: Understanding
Knowledge
and Explanation; 2. Can Scientific Understanding be Reduced to Knowledge?
Henk W. de Regt; 3. Should Friends and Frenemies of Understanding be Friends? Discussing de Regt
Kareem Khalifa; 4. Frenemies or Friends? A Reply to Kareem Khalifa
Henk W. de Regt; 5. Onwards
My Friend! Reply to de Regt
Kareem Khalifa; 6. Factivism in Historical Perspective: Understanding the Gravitational Deflection of Light
Sorin Bangu; 7. Ideal Patterns and Non-Factive Understanding
Mazviita Chirimuuta; 8. Topological Explanations: An Opinionated Appraisal
Daniel Kosti¿; 9. Explanatory Power: Factive vs. Pragmatic Dimension
Juha Saatsi; Part II: Understanding and Scientific Realism; 10. Understanding the Success of Science
Christopher Pincock; 11. Truth and Reality: How to be a Scientific Realist Without Believing Scientific Theories Should be True
Angela Potochnik; 12. Defensible Scientific Realism: A Reply to Potochnik
Christopher Pincock; 13. Different Ways to be a Realist: A Response to Pincock
Angela Potochnik; 14. Realism About Molecular Structures
Amanda J. Nichols and Myron A. Penner; 15. Anti-Fundamentalist Lessons for Scientific Representation from Scientific Metaphysics
Julia R.S. Bursten; Part III: Understanding
Representation
and Inference; 16. Factivity
Pluralism and the Inferential Account of Scientific Understanding
Jaakko Kuorikoski; 17. Scientific Representation and Understanding: A Communal and Dynamical View
Collin Rice; 18. Representation and Understanding are Constitutively Communal but Not Constitutively Historical
Jaakko Kuorikoski; 19. Which Modal Information and Abilities Are Required for Inferential Understanding?
Collin Rice; 20. Maps
Models
and Representation
James Nguyen and Roman Frigg; 21. DEKI
Denotation
and the Fortuitous Misuse of Maps
Jared Millson and Mark Risjord; 22. DEKI and the Mislocation of Justification: A Response to Millson and Risjord
Roman Frigg and James Nguyen; 23. DEKI and the Justification of Surrogative Inference: A Response
Jared Millson and Mark Risjord; 24. How Values Shape the Machine Learning Opacity Problem
Emily Sullivan; 25. Understanding from Deep Learning Models in Context
Michael Tamir and Elay Shech; 26. Link Uncertainty
Implementation
and ML Opacity: Some Clarifications
Emily Sullivan; 27. Expecting Too Much from Our Machine Learning Models
Elay Shech and Michael Tamir; Part IV: Understanding and Scientific Progress; 28. Understanding the Progress of Science
C. D. McCoy; 29. Scientific Progress Without Justification
Finnur Dellsén; 30. The Significance of Justification for Progress: A Reply to Dellsén
C. D. McCoy; 31. Scientific Progress without Problems
Finnur Dellsén.
Kareem Khalifa
Insa Lawler
and Elay Shech; Part I: Understanding
Knowledge
and Explanation; 2. Can Scientific Understanding be Reduced to Knowledge?
Henk W. de Regt; 3. Should Friends and Frenemies of Understanding be Friends? Discussing de Regt
Kareem Khalifa; 4. Frenemies or Friends? A Reply to Kareem Khalifa
Henk W. de Regt; 5. Onwards
My Friend! Reply to de Regt
Kareem Khalifa; 6. Factivism in Historical Perspective: Understanding the Gravitational Deflection of Light
Sorin Bangu; 7. Ideal Patterns and Non-Factive Understanding
Mazviita Chirimuuta; 8. Topological Explanations: An Opinionated Appraisal
Daniel Kosti¿; 9. Explanatory Power: Factive vs. Pragmatic Dimension
Juha Saatsi; Part II: Understanding and Scientific Realism; 10. Understanding the Success of Science
Christopher Pincock; 11. Truth and Reality: How to be a Scientific Realist Without Believing Scientific Theories Should be True
Angela Potochnik; 12. Defensible Scientific Realism: A Reply to Potochnik
Christopher Pincock; 13. Different Ways to be a Realist: A Response to Pincock
Angela Potochnik; 14. Realism About Molecular Structures
Amanda J. Nichols and Myron A. Penner; 15. Anti-Fundamentalist Lessons for Scientific Representation from Scientific Metaphysics
Julia R.S. Bursten; Part III: Understanding
Representation
and Inference; 16. Factivity
Pluralism and the Inferential Account of Scientific Understanding
Jaakko Kuorikoski; 17. Scientific Representation and Understanding: A Communal and Dynamical View
Collin Rice; 18. Representation and Understanding are Constitutively Communal but Not Constitutively Historical
Jaakko Kuorikoski; 19. Which Modal Information and Abilities Are Required for Inferential Understanding?
Collin Rice; 20. Maps
Models
and Representation
James Nguyen and Roman Frigg; 21. DEKI
Denotation
and the Fortuitous Misuse of Maps
Jared Millson and Mark Risjord; 22. DEKI and the Mislocation of Justification: A Response to Millson and Risjord
Roman Frigg and James Nguyen; 23. DEKI and the Justification of Surrogative Inference: A Response
Jared Millson and Mark Risjord; 24. How Values Shape the Machine Learning Opacity Problem
Emily Sullivan; 25. Understanding from Deep Learning Models in Context
Michael Tamir and Elay Shech; 26. Link Uncertainty
Implementation
and ML Opacity: Some Clarifications
Emily Sullivan; 27. Expecting Too Much from Our Machine Learning Models
Elay Shech and Michael Tamir; Part IV: Understanding and Scientific Progress; 28. Understanding the Progress of Science
C. D. McCoy; 29. Scientific Progress Without Justification
Finnur Dellsén; 30. The Significance of Justification for Progress: A Reply to Dellsén
C. D. McCoy; 31. Scientific Progress without Problems
Finnur Dellsén.