Causality in the Sciences
Herausgeber: Illari, Phyllis McKay; Williamson, Jon; Russo, Federica
Causality in the Sciences
Herausgeber: Illari, Phyllis McKay; Williamson, Jon; Russo, Federica
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Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
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Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Oxford University Press
- Seitenzahl: 816
- Erscheinungstermin: Mai 2011
- Englisch
- Abmessung: 240mm x 167mm x 55mm
- Gewicht: 1548g
- ISBN-13: 9780199574131
- ISBN-10: 0199574138
- Artikelnr.: 33252774
- Verlag: Oxford University Press
- Seitenzahl: 816
- Erscheinungstermin: Mai 2011
- Englisch
- Abmessung: 240mm x 167mm x 55mm
- Gewicht: 1548g
- ISBN-13: 9780199574131
- ISBN-10: 0199574138
- Artikelnr.: 33252774
Phyllis Illari is currently a postdoctoral researcher at the University of Kent. She has also held posts at the Universities of Stirling and Bristol. She is interested in all aspects of the metaphysics and methodology of causality. She is currently working on a Leverhulme-Trust funded project on mechanisms and causality across the sciences that uses understanding of the discovery and use of causal mechanisms in different sciences to inform philosophical work on causality. Federica Russo is currently Research Associate at the University of Kent and has visited the Centre for Philosophy of Natural and Social Science (CPNSS) at the LSE from April 2004 to January 2005 and the Center for Philosophy of Science (Pittsburgh) from January to April 2009. She is interested in causality and probability in the social, biomedical and policy sciences, as well as in the philosophical, legal, and social, implications of technology. Federica is part of the editorial board of the journal Philosophy and Technology and features editor of the monthly gazette The Reasoner. Jon Williamson is Professor of Reasoning, Inference and Scientific Method in the philosophy department at the University of Kent. He works on causality, probability, logic and applications of formal reasoning within science, mathematics and artificial intelligence. Jon currently heads the philosophy department and is a director of the multi-disciplinary University of Kent Centre for Reasoning. He runs the Reasoning Club, a network of research centres, and edits The Reasoner, a monthly gazette on research in this area. Jon was Times Higher Education UK Young Researcher of the Year 2007.
* PART I - Introduction
* 1: Phyllis McKay Illari, Federica Russo, Jon Williamson: Why look at
Causality in the Sciences?
* PART II - Health Sciences
* 2: R. Paul Thompson: Causality, Theories, and Medicine
* 3: Alex Broadbent: Inferring Causation in Epidemiology: Mechanisms,
Black Boxes, and Contrasts
* 4: Harold Kinkaid: Causal Modeling, Mechanism, and Probability in
Epidemiology
* 5: Bert Leuridan, Erik Weber: The IARC and Mechanistic Evidence
* 6: Donald Gillies: The Russo-Williamson Thesis and the Question of
whether Smoking Causes Heart Disease
* PART III - Psychology
* 7: David Lagnado: Causal Thinking
* 8: Benjamin Rottman, Woo-kyoung Ahn, Christian Luhmann: When and How
Do People Reason about Unobserved Causes?
* 9: Clare R Walsh, Steven A Sloman: Counterfactual and Generative
Accounts of Causal Attribution
* 10: Ken Aizawa, Carl Gillet: The Autonomy of Psychology in the Age of
Neuroscience
* 11: Otto Lappi, Anna-Mari Rusanen: Turing Machines and Causal
Mechanisms in Cognitive Science
* 12: Keith A. Markus: Real Causes and Ideal Manipulations: Pearl's
Theory of Causal Inference from the Point of View of Psychological
Research Methods
* PART IV - Social Sciences
* 13: Daniel Little: Causal Mechanisms in the Social Realm
* 14: Ruth Groff: Getting Past Hume in the Philosophy of Social Science
* 15: Michel Mouchart, Federica Russo: Causal Explanation: Recursive
Decompositions and Mechanisms
* 16: Kevin D. Hoover: Counterfactuals and Causal Structure
* 17: Damien Fennell: The Error Term and its Interpretation in
Structural Models in Econometrics
* 18: Hossein Hassani, Anatoly Zhigljavsky, Kerry Patterson, Abdol S.
Soofi: A Comprehensive Causality Test Based on the Singular Spectrum
Analysis
* PART V - Natural Sciences
* 19: Tudor M. Baetu: Mechanism Schemas and the Relationship Between
Biological Theories
* 20: Roberta L. Millstein: Chances and Causes in Evolutionary Biology:
How Many Chances Become One Chance
* 21: Sahotra Sarkar: Drift and the Causes of Evolution
* 22: Garrett Pendergraft: In Defense of a Causal Requirement on
Explanation
* 23: Paolo Vineis, Aneire Khan, Flavio D'Abramo: Epistemological
Issues Raised by Research on Climate Change
* 24: Giovanni Boniolo, Rossella Faraldo, Antonio Saggion: Explicating
the Notion of 'Causation': the Role of the Extensive Quantities
* 25: Miklos Redei, Balazs Gyenis: Causal Completeness of Probability
Theories-results and Open Problems
* PART VI - Computer Science, Probability, and Statistics
* 26: Isabelle Guyon, C. Aliferis, G. Cooper, A. Elisseeff J.-P.
Pellet, P. Spirtes, A. Statnikov: Causality Workbench
* 27: Jan Lemeire, Kris Steenhaut, Abdellah Touhafi: When are Graphical
Models not Good Models
* 28: Dawn E. Holmes: Why Making Bayesian Networks Objectively Bayesian
Make Sense
* 29: Branden Fitelson, Christopher Hitchcock: Probabilistic Measures
of Causal Strength
* 30: Kevin B Korb, Erik P. Nyberg, Lucas Hope: A New Causal Power
Theory
* 31: Samantha Kleinberg, Bud Mishra: Multiple Testing of Causal
Hypotheses
* 32: Ricardo Silva: Measuring Latent Causal Structure
* 33: Judea Pearl: The Structural Theory of Causation
* 34: Sara Geneletti, A. Philip Dawid: Defining and Identifying the
Effect of Treatment on the Treated
* 35: Nancy Cartwright: Predicting 'It Will Work for Us': (Way) Beyond
Statistics
* PART VII - Causality and Mechanisms
* 36: Stathis Psillos: The Idea of Mechanism
* 37: Stuart Glennan: Singular and General Causal Relations: A
Mechanist Perspective
* 38: Phyllis McKay Illari, Jon Williamson: Mechanisms are Real and
Local
* 39: Jim Bogen, Peter Machamer: Mechanistic Information and Causal
Continuity
* 40: Phil Dowe: The Causal-Process-Model Theory of Mechanisms
* 41: M. Kuhlmann: Mechanisms in Dynamically Complex Systems
* 42: Julian Reiss: Third Time's a Charm: Causation, Science, and
Wittgensteinian Pluralism
* Index
* 1: Phyllis McKay Illari, Federica Russo, Jon Williamson: Why look at
Causality in the Sciences?
* PART II - Health Sciences
* 2: R. Paul Thompson: Causality, Theories, and Medicine
* 3: Alex Broadbent: Inferring Causation in Epidemiology: Mechanisms,
Black Boxes, and Contrasts
* 4: Harold Kinkaid: Causal Modeling, Mechanism, and Probability in
Epidemiology
* 5: Bert Leuridan, Erik Weber: The IARC and Mechanistic Evidence
* 6: Donald Gillies: The Russo-Williamson Thesis and the Question of
whether Smoking Causes Heart Disease
* PART III - Psychology
* 7: David Lagnado: Causal Thinking
* 8: Benjamin Rottman, Woo-kyoung Ahn, Christian Luhmann: When and How
Do People Reason about Unobserved Causes?
* 9: Clare R Walsh, Steven A Sloman: Counterfactual and Generative
Accounts of Causal Attribution
* 10: Ken Aizawa, Carl Gillet: The Autonomy of Psychology in the Age of
Neuroscience
* 11: Otto Lappi, Anna-Mari Rusanen: Turing Machines and Causal
Mechanisms in Cognitive Science
* 12: Keith A. Markus: Real Causes and Ideal Manipulations: Pearl's
Theory of Causal Inference from the Point of View of Psychological
Research Methods
* PART IV - Social Sciences
* 13: Daniel Little: Causal Mechanisms in the Social Realm
* 14: Ruth Groff: Getting Past Hume in the Philosophy of Social Science
* 15: Michel Mouchart, Federica Russo: Causal Explanation: Recursive
Decompositions and Mechanisms
* 16: Kevin D. Hoover: Counterfactuals and Causal Structure
* 17: Damien Fennell: The Error Term and its Interpretation in
Structural Models in Econometrics
* 18: Hossein Hassani, Anatoly Zhigljavsky, Kerry Patterson, Abdol S.
Soofi: A Comprehensive Causality Test Based on the Singular Spectrum
Analysis
* PART V - Natural Sciences
* 19: Tudor M. Baetu: Mechanism Schemas and the Relationship Between
Biological Theories
* 20: Roberta L. Millstein: Chances and Causes in Evolutionary Biology:
How Many Chances Become One Chance
* 21: Sahotra Sarkar: Drift and the Causes of Evolution
* 22: Garrett Pendergraft: In Defense of a Causal Requirement on
Explanation
* 23: Paolo Vineis, Aneire Khan, Flavio D'Abramo: Epistemological
Issues Raised by Research on Climate Change
* 24: Giovanni Boniolo, Rossella Faraldo, Antonio Saggion: Explicating
the Notion of 'Causation': the Role of the Extensive Quantities
* 25: Miklos Redei, Balazs Gyenis: Causal Completeness of Probability
Theories-results and Open Problems
* PART VI - Computer Science, Probability, and Statistics
* 26: Isabelle Guyon, C. Aliferis, G. Cooper, A. Elisseeff J.-P.
Pellet, P. Spirtes, A. Statnikov: Causality Workbench
* 27: Jan Lemeire, Kris Steenhaut, Abdellah Touhafi: When are Graphical
Models not Good Models
* 28: Dawn E. Holmes: Why Making Bayesian Networks Objectively Bayesian
Make Sense
* 29: Branden Fitelson, Christopher Hitchcock: Probabilistic Measures
of Causal Strength
* 30: Kevin B Korb, Erik P. Nyberg, Lucas Hope: A New Causal Power
Theory
* 31: Samantha Kleinberg, Bud Mishra: Multiple Testing of Causal
Hypotheses
* 32: Ricardo Silva: Measuring Latent Causal Structure
* 33: Judea Pearl: The Structural Theory of Causation
* 34: Sara Geneletti, A. Philip Dawid: Defining and Identifying the
Effect of Treatment on the Treated
* 35: Nancy Cartwright: Predicting 'It Will Work for Us': (Way) Beyond
Statistics
* PART VII - Causality and Mechanisms
* 36: Stathis Psillos: The Idea of Mechanism
* 37: Stuart Glennan: Singular and General Causal Relations: A
Mechanist Perspective
* 38: Phyllis McKay Illari, Jon Williamson: Mechanisms are Real and
Local
* 39: Jim Bogen, Peter Machamer: Mechanistic Information and Causal
Continuity
* 40: Phil Dowe: The Causal-Process-Model Theory of Mechanisms
* 41: M. Kuhlmann: Mechanisms in Dynamically Complex Systems
* 42: Julian Reiss: Third Time's a Charm: Causation, Science, and
Wittgensteinian Pluralism
* Index
* PART I - Introduction
* 1: Phyllis McKay Illari, Federica Russo, Jon Williamson: Why look at
Causality in the Sciences?
* PART II - Health Sciences
* 2: R. Paul Thompson: Causality, Theories, and Medicine
* 3: Alex Broadbent: Inferring Causation in Epidemiology: Mechanisms,
Black Boxes, and Contrasts
* 4: Harold Kinkaid: Causal Modeling, Mechanism, and Probability in
Epidemiology
* 5: Bert Leuridan, Erik Weber: The IARC and Mechanistic Evidence
* 6: Donald Gillies: The Russo-Williamson Thesis and the Question of
whether Smoking Causes Heart Disease
* PART III - Psychology
* 7: David Lagnado: Causal Thinking
* 8: Benjamin Rottman, Woo-kyoung Ahn, Christian Luhmann: When and How
Do People Reason about Unobserved Causes?
* 9: Clare R Walsh, Steven A Sloman: Counterfactual and Generative
Accounts of Causal Attribution
* 10: Ken Aizawa, Carl Gillet: The Autonomy of Psychology in the Age of
Neuroscience
* 11: Otto Lappi, Anna-Mari Rusanen: Turing Machines and Causal
Mechanisms in Cognitive Science
* 12: Keith A. Markus: Real Causes and Ideal Manipulations: Pearl's
Theory of Causal Inference from the Point of View of Psychological
Research Methods
* PART IV - Social Sciences
* 13: Daniel Little: Causal Mechanisms in the Social Realm
* 14: Ruth Groff: Getting Past Hume in the Philosophy of Social Science
* 15: Michel Mouchart, Federica Russo: Causal Explanation: Recursive
Decompositions and Mechanisms
* 16: Kevin D. Hoover: Counterfactuals and Causal Structure
* 17: Damien Fennell: The Error Term and its Interpretation in
Structural Models in Econometrics
* 18: Hossein Hassani, Anatoly Zhigljavsky, Kerry Patterson, Abdol S.
Soofi: A Comprehensive Causality Test Based on the Singular Spectrum
Analysis
* PART V - Natural Sciences
* 19: Tudor M. Baetu: Mechanism Schemas and the Relationship Between
Biological Theories
* 20: Roberta L. Millstein: Chances and Causes in Evolutionary Biology:
How Many Chances Become One Chance
* 21: Sahotra Sarkar: Drift and the Causes of Evolution
* 22: Garrett Pendergraft: In Defense of a Causal Requirement on
Explanation
* 23: Paolo Vineis, Aneire Khan, Flavio D'Abramo: Epistemological
Issues Raised by Research on Climate Change
* 24: Giovanni Boniolo, Rossella Faraldo, Antonio Saggion: Explicating
the Notion of 'Causation': the Role of the Extensive Quantities
* 25: Miklos Redei, Balazs Gyenis: Causal Completeness of Probability
Theories-results and Open Problems
* PART VI - Computer Science, Probability, and Statistics
* 26: Isabelle Guyon, C. Aliferis, G. Cooper, A. Elisseeff J.-P.
Pellet, P. Spirtes, A. Statnikov: Causality Workbench
* 27: Jan Lemeire, Kris Steenhaut, Abdellah Touhafi: When are Graphical
Models not Good Models
* 28: Dawn E. Holmes: Why Making Bayesian Networks Objectively Bayesian
Make Sense
* 29: Branden Fitelson, Christopher Hitchcock: Probabilistic Measures
of Causal Strength
* 30: Kevin B Korb, Erik P. Nyberg, Lucas Hope: A New Causal Power
Theory
* 31: Samantha Kleinberg, Bud Mishra: Multiple Testing of Causal
Hypotheses
* 32: Ricardo Silva: Measuring Latent Causal Structure
* 33: Judea Pearl: The Structural Theory of Causation
* 34: Sara Geneletti, A. Philip Dawid: Defining and Identifying the
Effect of Treatment on the Treated
* 35: Nancy Cartwright: Predicting 'It Will Work for Us': (Way) Beyond
Statistics
* PART VII - Causality and Mechanisms
* 36: Stathis Psillos: The Idea of Mechanism
* 37: Stuart Glennan: Singular and General Causal Relations: A
Mechanist Perspective
* 38: Phyllis McKay Illari, Jon Williamson: Mechanisms are Real and
Local
* 39: Jim Bogen, Peter Machamer: Mechanistic Information and Causal
Continuity
* 40: Phil Dowe: The Causal-Process-Model Theory of Mechanisms
* 41: M. Kuhlmann: Mechanisms in Dynamically Complex Systems
* 42: Julian Reiss: Third Time's a Charm: Causation, Science, and
Wittgensteinian Pluralism
* Index
* 1: Phyllis McKay Illari, Federica Russo, Jon Williamson: Why look at
Causality in the Sciences?
* PART II - Health Sciences
* 2: R. Paul Thompson: Causality, Theories, and Medicine
* 3: Alex Broadbent: Inferring Causation in Epidemiology: Mechanisms,
Black Boxes, and Contrasts
* 4: Harold Kinkaid: Causal Modeling, Mechanism, and Probability in
Epidemiology
* 5: Bert Leuridan, Erik Weber: The IARC and Mechanistic Evidence
* 6: Donald Gillies: The Russo-Williamson Thesis and the Question of
whether Smoking Causes Heart Disease
* PART III - Psychology
* 7: David Lagnado: Causal Thinking
* 8: Benjamin Rottman, Woo-kyoung Ahn, Christian Luhmann: When and How
Do People Reason about Unobserved Causes?
* 9: Clare R Walsh, Steven A Sloman: Counterfactual and Generative
Accounts of Causal Attribution
* 10: Ken Aizawa, Carl Gillet: The Autonomy of Psychology in the Age of
Neuroscience
* 11: Otto Lappi, Anna-Mari Rusanen: Turing Machines and Causal
Mechanisms in Cognitive Science
* 12: Keith A. Markus: Real Causes and Ideal Manipulations: Pearl's
Theory of Causal Inference from the Point of View of Psychological
Research Methods
* PART IV - Social Sciences
* 13: Daniel Little: Causal Mechanisms in the Social Realm
* 14: Ruth Groff: Getting Past Hume in the Philosophy of Social Science
* 15: Michel Mouchart, Federica Russo: Causal Explanation: Recursive
Decompositions and Mechanisms
* 16: Kevin D. Hoover: Counterfactuals and Causal Structure
* 17: Damien Fennell: The Error Term and its Interpretation in
Structural Models in Econometrics
* 18: Hossein Hassani, Anatoly Zhigljavsky, Kerry Patterson, Abdol S.
Soofi: A Comprehensive Causality Test Based on the Singular Spectrum
Analysis
* PART V - Natural Sciences
* 19: Tudor M. Baetu: Mechanism Schemas and the Relationship Between
Biological Theories
* 20: Roberta L. Millstein: Chances and Causes in Evolutionary Biology:
How Many Chances Become One Chance
* 21: Sahotra Sarkar: Drift and the Causes of Evolution
* 22: Garrett Pendergraft: In Defense of a Causal Requirement on
Explanation
* 23: Paolo Vineis, Aneire Khan, Flavio D'Abramo: Epistemological
Issues Raised by Research on Climate Change
* 24: Giovanni Boniolo, Rossella Faraldo, Antonio Saggion: Explicating
the Notion of 'Causation': the Role of the Extensive Quantities
* 25: Miklos Redei, Balazs Gyenis: Causal Completeness of Probability
Theories-results and Open Problems
* PART VI - Computer Science, Probability, and Statistics
* 26: Isabelle Guyon, C. Aliferis, G. Cooper, A. Elisseeff J.-P.
Pellet, P. Spirtes, A. Statnikov: Causality Workbench
* 27: Jan Lemeire, Kris Steenhaut, Abdellah Touhafi: When are Graphical
Models not Good Models
* 28: Dawn E. Holmes: Why Making Bayesian Networks Objectively Bayesian
Make Sense
* 29: Branden Fitelson, Christopher Hitchcock: Probabilistic Measures
of Causal Strength
* 30: Kevin B Korb, Erik P. Nyberg, Lucas Hope: A New Causal Power
Theory
* 31: Samantha Kleinberg, Bud Mishra: Multiple Testing of Causal
Hypotheses
* 32: Ricardo Silva: Measuring Latent Causal Structure
* 33: Judea Pearl: The Structural Theory of Causation
* 34: Sara Geneletti, A. Philip Dawid: Defining and Identifying the
Effect of Treatment on the Treated
* 35: Nancy Cartwright: Predicting 'It Will Work for Us': (Way) Beyond
Statistics
* PART VII - Causality and Mechanisms
* 36: Stathis Psillos: The Idea of Mechanism
* 37: Stuart Glennan: Singular and General Causal Relations: A
Mechanist Perspective
* 38: Phyllis McKay Illari, Jon Williamson: Mechanisms are Real and
Local
* 39: Jim Bogen, Peter Machamer: Mechanistic Information and Causal
Continuity
* 40: Phil Dowe: The Causal-Process-Model Theory of Mechanisms
* 41: M. Kuhlmann: Mechanisms in Dynamically Complex Systems
* 42: Julian Reiss: Third Time's a Charm: Causation, Science, and
Wittgensteinian Pluralism
* Index