Most philosophical work on causation is divorced from scientific practice, but in this book David Papineau develops a metaphysical theory designed to provide a principled grounding for the science of causal inference. The book first introduces non-specialists to the techniques of causal inference, and then shows how the resulting theory can account for all aspects of causation. While Papineau draws on a wide range of scientific and philosophical sources, everything is explained from first principles and will be accessible to readers from all backgrounds. The resulting theory marks a new departure in the philosophy of causation, and will be of interest not only to philosophers but also to anybody interested in the statistical techniques that are widely used throughout science to analyse causal structures.
David Papineau is Professor of Philosophy at King's College London and a fellow of the British Academy. He is the author of The Metaphysics of Sensory Experience (2021), Knowing the Score: How Sport teaches us about Philosophy (and Philosophy about Sport) (2017) and many other books.
1. Overview plus analytic table of contents; 2. Causes from correlations; 3. Probabilistic theories of causation; 4. Structural equations and the bridge principles; 5. Causal and thermodynamic asymmetry; 6. Error terms and independent mechanisms; 7. Token causation; 8. The practical importance of generic causal claims; 9. Indeterminism; 10. Causation and rational action; Personal postscript; References; Index.
Most philosophical work on causation is divorced from scientific practice, but in this book David Papineau develops a metaphysical theory designed to provide a principled grounding for the science of causal inference. The book first introduces non-specialists to the techniques of causal inference, and then shows how the resulting theory can account for all aspects of causation. While Papineau draws on a wide range of scientific and philosophical sources, everything is explained from first principles and will be accessible to readers from all backgrounds. The resulting theory marks a new departure in the philosophy of causation, and will be of interest not only to philosophers but also to anybody interested in the statistical techniques that are widely used throughout science to analyse causal structures.
David Papineau is Professor of Philosophy at King's College London and a fellow of the British Academy. He is the author of The Metaphysics of Sensory Experience (2021), Knowing the Score: How Sport teaches us about Philosophy (and Philosophy about Sport) (2017) and many other books.
1. Overview plus analytic table of contents; 2. Causes from correlations; 3. Probabilistic theories of causation; 4. Structural equations and the bridge principles; 5. Causal and thermodynamic asymmetry; 6. Error terms and independent mechanisms; 7. Token causation; 8. The practical importance of generic causal claims; 9. Indeterminism; 10. Causation and rational action; Personal postscript; References; Index.
Most philosophical work on causation is divorced from scientific practice, but in this book David Papineau develops a metaphysical theory designed to provide a principled grounding for the science of causal inference. The book first introduces non-specialists to the techniques of causal inference, and then shows how the resulting theory can account for all aspects of causation. While Papineau draws on a wide range of scientific and philosophical sources, everything is explained from first principles and will be accessible to readers from all backgrounds. The resulting theory marks a new departure in the philosophy of causation, and will be of interest not only to philosophers but also to anybody interested in the statistical techniques that are widely used throughout science to analyse causal structures.
David Papineau is Professor of Philosophy at King's College London and a fellow of the British Academy. He is the author of The Metaphysics of Sensory Experience (2021), Knowing the Score: How Sport teaches us about Philosophy (and Philosophy about Sport) (2017) and many other books.
1. Overview plus analytic table of contents; 2. Causes from correlations; 3. Probabilistic theories of causation; 4. Structural equations and the bridge principles; 5. Causal and thermodynamic asymmetry; 6. Error terms and independent mechanisms; 7. Token causation; 8. The practical importance of generic causal claims; 9. Indeterminism; 10. Causation and rational action; Personal postscript; References; Index.