Causality in the Sciences (eBook, PDF)
Redaktion: Illari, Phyllis; Williamson, Jon; Russo, Federica
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Causality in the Sciences (eBook, PDF)
Redaktion: Illari, Phyllis; Williamson, Jon; Russo, Federica
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There is a need for integrated thinking about causality, probability and mechanisms in scientific methodology. Causality and probability are long-established central concepts in the sciences, with a corresponding philosophical literature examining their problems. On the other hand, the philosophical literature examining mechanisms is not long-established, and there is no clear idea of how mechanisms relate to causality and probability. But we need some idea if we are to understand causal inference in the sciences: a panoply of disciplines, ranging from epidemiology to biology, from…mehr
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- Produktdetails
- Verlag: Oxford University Press
- Erscheinungstermin: 17. März 2011
- Englisch
- ISBN-13: 9780191060328
- Artikelnr.: 56876819
- Verlag: Oxford University Press
- Erscheinungstermin: 17. März 2011
- Englisch
- ISBN-13: 9780191060328
- Artikelnr.: 56876819
* 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