Time and Causality Across the Sciences


Book Description

Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.




Time, Tense, and Causation


Book Description

Michael Tooley presents a major new philosophical study of time and its relation to causation. The nature of time has always been one of the most fascinating and perplexing problems of philosophy; it has in recent years become the focus of vigorous debate between advocates of rival theories.The traditional, `tensed' accounts of time which hold that time has a direction and that the flow of time is part of the nature of the universe have been challenged by `tenseless' accounts of time, according to which past, present, and future are merely subjective features of experience, rather thanobjective features of events. Time, Tense and Causation offers a new approach, in many ways intermediate between these two rivals. Tooley shares with tensed approaches the views that the universe if dynamic, and that the past and present are real while the future is not; but he rejects the viewthat this points to the existence of irreducible tensed facts. Tooley's approach accounts for time in terms of its relation to causation; he argues that the direction of time is based upon the direction of causation, and that the key to understanding the dynamic nature of the universe is tounderstand the nature of causation. He analyses tensed concepts, and discusses semantic issues about truth and time, Finally, addressing the formidable difficulties posed for tensed accounts of time by the Special Theory of Relativity, he suggests that a modified version of the theory, compatiblewith the account of time in this book, is to be preferred to the standard version. Time, Tense, and Causation is rich in sophisticated and stimulating discussions of many of the deepest problems of metaphysics. It will be essentail reading for anyone specialising in this area of philosophy.




Causality, Probability, and Time


Book Description

Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.




The Oxford Handbook of Causal Reasoning


Book Description

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.




Quantum Gravity


Book Description

Quantum gravity is perhaps the most important open problem in fundamental physics. It is the problem of merging quantum mechanics and general relativity, the two great conceptual revolutions in the physics of the twentieth century. The loop and spinfoam approach, presented in this 2004 book, is one of the leading research programs in the field. The first part of the book discusses the reformulation of the basis of classical and quantum Hamiltonian physics required by general relativity. The second part covers the basic technical research directions. Appendices include a detailed history of the subject of quantum gravity, hard-to-find mathematical material, and a discussion of some philosophical issues raised by the subject. This fascinating text is ideal for graduate students entering the field, as well as researchers already working in quantum gravity. It will also appeal to philosophers and other scholars interested in the nature of space and time.




Causal Inference


Book Description

An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.




The Book of Why


Book Description

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.




Causation in Science and the Methods of Scientific Discovery


Book Description

Causal questions are relevant to all sciences and social sciences, yet how we discover causal connections is no easy matter. Indeed, the choice of methods concerns the correct norms for the empirical study of the world. In this text, two experts on causation relate philosophical theory to scientific practice and propose nine new norms of discovery.




Time and Causation


Book Description

First published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.




Mental Causation


Book Description

Presents a comprehensive account of how the mind causes things to happen in the physical world. This book is also available as Open Access.