This book examines the concepts of cause and effect from two dimensions. The first concerns the macrocosm of the Universe and how each belief system views creation. The second dimension explores the ways in which beliefs about creation influence the microcosmic world in terms of the nature of the self, the proximate goals within each system, the answers each belief system offers to the presence of evil and suffering in existence, and ideas about the ultimate goal of release from them. All these ideas inform and are fundamental to the understanding of the present-day practices of different faiths, presenting challenges for scriptural testimony balanced with existential living. The final two chapters explore current research in physics concerning the beginnings of the cosmos and what implications such research might have for existence within it, with the final chapter examining scientific views of the nature of the self. Contents include: Judaic and Christian Traditions. Islam. Hinduism. Early Buddhism. Sikhism. Classical Taoism. Recycled Stardust. Ashes to Ashes and Dust to Atoms: The Life and Death of the Self.

Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst causation plays a major role in theories and concepts of medicine, little attempt has been made to connect causation and probability with medicine itself. Causality, Probability, and Medicine is one of the first books to apply philosophical reasoning about causality to important topics and debates in medicine. Donald Gillies provides a thorough introduction to and assessment of competing theories of causality in philosophy, including action-related theories, causality and mechanisms, and causality and probability. Throughout the book he applies them to important discoveries and theories within medicine, such as germ theory; tuberculosis and cholera; smoking and heart disease; the first ever randomized controlled trial designed to test the treatment of tuberculosis; the growing area of philosophy of evidence-based medicine; and philosophy of epidemiology. This book will be of great interest to students and researchers in philosophy of science and philosophy of medicine, as well as those working in medicine, nursing and related health disciplines where a working knowledge of causality and probability is required.

This volume brings together a collection of new essays by leading scholars on the subject of causation in the early modern period, from Descartes to Lady Mary Shepherd. Aimed at researchers, graduate students and advanced undergraduates, the volume advances the understanding of early modern discussions of causation, and situates these discussions in the wider context of early modern philosophy and science. Specifically, the volume contains essays on key early modern thinkers, such as Descartes, Hobbes, Spinoza, Leibniz, Hume, Kant. It also contains essays that examine the important contributions to the causation debate of less widely discussed figures, including Louis la Forge, Thomas Brown and Lady Mary Shepherd.

This book examines issues related to the concepts of space, time and causality in the context of modern physics and ancient Indian traditions. It looks at the similarity and convergence of these concepts of modern physics with those discussed in ancient Indian wisdom. The volume brings the methodologies of empiricism and introspection together to highlight the synergy between these two strands. It discusses wide-ranging themes including the quantum vacuum as ultimate reality, quantum entanglement and metaphysics of relations, identity and individuality, and dark energy and anti-matter as discussed in physics and in Indian philosophical schools like Vedanta, Yoga, Buddhist, Kashmiri Shaivism and Jaina Philosophy. First of its kind, this book will be an essential read for scholars and researches of philosophy, Indian philosophy, philosophy of science, theoretical physics and social science.

Introducing graduate students and researchers to mathematical physics, this book discusses two recent developments: the demonstration that causality can be defined on discrete space-times; and Sewell's measurement theory, in which the wave packet is reduced without recourse to the observer's conscious ego, nonlinearities or interaction with the rest of the universe. The definition of causality on a discrete space-time assumes that space-time is made up of geometrical points. Using Sewell's measurement theory, the author concludes that the notion of geometrical points is as meaningful in quantum mechanics as it is in classical mechanics, and that it is impossible to tell whether the differential calculus is a discovery or an invention. Providing a mathematical discourse on the relation between theoretical and experimental physics, the book gives detailed accounts of the mathematically difficult measurement theories of von Neumann and Sewell.

This book offers a welcome expansion on key concepts, terms, and issues in causality. It brings much needed clarity to psychological injury assessments and the legal contexts that employ them. Focusing on PTSD, traumatic brain injury, and chronic pain (and grounding readers in salient U.S. and Canadian case law), the book sets out a multifactorial causality framework to facilitate admissibility of psychological evidence in court.

This volume presents fifteen original papers dealing with various aspects of causative constructions ranging from morphology to semantics with emphasis on language data from Central and South America. Informed by a better understanding of how different constructions are positioned both synchronically (e.g., on a semantic map) and diachronically (e.g., through grammaticalization processes), the volume affords a comprehensive up-to-date perspective on the perennial issues in the grammar of causation such as the distribution of competing causative morphemes, the meaning distinctions among them, and the overall form-meaning correlation. Morphosyntactic interactions of causatives with other phenomena such as incorporation and applicativization receive focused attention as such basic issues as the semantic distinction between direct and indirect causation and the typology of causative constructions.

This book offers a critique of the present status of the concept of causality in the social sciences. “The Causality Syndrome” consists of a belief in causal studies as more important than other studies, a narrow definition of causality, and rules of thumb regarding how to make causal claims. The book argues that the present dominance of this syndrome has considerable downsides and presents a challenge to social science. The book dissects the many interconnected ideas which undergird this syndrome and offers an intellectual home for advanced students, researchers and others who are concerned about the present dominance of The Causality Syndrome. The book critically discusses whether “causality” deserves the central position in social science that its advocates desire. The text shows how methodological rules about causal inference are used to protect causal studies from critique, even in situations where these rules are not followed. It is argued that institutionalization of these rules as symbols of good and trustworthy social science is highly problematic and comes with a price. One of the casualties of causality is that there is less motivation to study complex and pressing issues in society which do not lend themselves to causal study designs. The sections are short. The argument unfolds in a lively, engaged form with examples from many fields, including public health, evaluation and organizational studies. The case examples include classical experiments as well as contemporary research, e.g. studies of the effectiveness of restrictions targeting the spread of coronavirus.