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We use concepts of causal powers and their relatives-dispositions, capacities, and abilities-to describe the world around us, both in everyday life and in scientific practice. This volume presents new work on the nature of causal powers, and their connections with other phenomena within metaphysics, philosophy of science, and philosophy of mind.
The problem of structure and agency has been the subject of intense debate in the social sciences for over 100 years. This book offers a solution. Using a critical realist version of the theory of emergence, Dave Elder-Vass argues that, instead of ascribing causal significance to an abstract notion of social structure or a monolithic concept of society, we must recognise that it is specific groups of people that have social structural power. Some of these groups are entities with emergent causal powers, distinct from those of human individuals. Yet these powers also depend on the contributions of human individuals, and this book examines the mechanisms through which interactions between human individuals generate the causal powers of some types of social structures. The Causal Power of Social Structures makes particularly important contributions to the theory of human agency and to our understanding of normative institutions.
Neil E. Williams develops a systematic metaphysics centred on the idea of powers, as a rival to neo-Humeanism, the dominant systematic metaphysics in philosophy today. Williams takes powers to be inherently causal properties and uses them as the foundation of his explanations of causation, persistence, laws, and modality.
Starting in the 1660s, followers of the philosopher Descartes argued for what has come to be known as "occasionalism." In its most extreme form, occasionalism is the doctrine that God directly causes everything that happens in the world, and no other being is a true cause of any effect. The views of Cartesian occasionalists were once largely dismissed by English-speaking philosophers. But since the 1970s, a growing body of secondary literature has highlighted the historical significance, and philosophical interest, of their views. This study expands on recent scholarship to provide the first comprehensive account of occasionalism in the seventeenth century.
Published in 2012, Powers and Capacities in Philosophy is a valuable contribution to the field of Philosophy.
In recent decades, the analysis of causal relations has become a topic of central importance in analytic philosophy. More recently, dispositional properties have also become objects of intense study. Both of these phenomena appear to be intimately related to counterfactual conditionals and other modal phenomena such as objective chance, but little work has been done to directly relate them. Dispositions and Causes contains ten essays by scholars working in both metaphysics and in philosophy of science, examining the relation between dispositional and causal concepts. Particular issues discussed include the possibility of reducing dispositions to causes, and vice versa; the possibility of a nominalist theory of causal powers; the attempt to reduce all metaphysical necessity to dispositional properties; the relationship between dispositions, causes, and laws of nature; the role of causal capacities in explaining the success of scientific inquiry; the grounding of dispositions and causes in objective chances; and the type of causal power required for free agency. The introductory chapter contains a detailed overview of recent work in the area, providing a helpful entry to the literature for non-specialists.
Causation is a central topic in many areas of philosophy. In metaphysics, philosophers want to know what causation is, and how it is related to laws of nature, probability, action, and freedom of the will. In epistemology, philosophers investigate how causal claims can be inferred from statistical data, and how causation is related to perception, knowledge and explanation. In the philosophy of mind, philosophers want to know whether and how the mind can be said to have causal efficacy, and in ethics, whether there is a moral distinction between acts and omissions and whether the moral value of an act can be judged according to its consequences. And causation is a contested concept in other fields of enquiry, such as biology, physics, and the law. This book provides an in-depth and comprehensive overview of these and other topics, as well as the history of the causation debate from the ancient Greeks to the logical empiricists. The chapters provide surveys of contemporary debates, while often also advancing novel and controversial claims; and each includes a comprehensive bibliography and suggestions for further reading. The book is thus the most comprehensive source of information about causation currently available, and will be invaluable for upper-level undergraduates through to professional philosophers.
Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...