Time and Causality Across the Sciences

Time and Causality Across the Sciences

Author: Samantha Kleinberg

Publisher: Cambridge University Press

Published: 2019-09-26

Total Pages: 273

ISBN-13: 1108476678

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


Time and Causality across the Sciences

Time and Causality across the Sciences

Author: Samantha Kleinberg

Publisher: Cambridge University Press

Published: 2019-09-26

Total Pages: 273

ISBN-13: 1108756018

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This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality relate across the sciences. Time is fundamental to how we perceive and reason about causes. It lets us immediately rule out the sound of a car crash as its cause. That a cause happens before its effect has been a core, and often unquestioned, part of how we describe causality. Research across disciplines shows that the relationship is much more complex than that. This book explores what that means for both the metaphysics and epistemology of causes - what they are and how we can find them. Across psychology, biology, and the social sciences, common themes emerge, suggesting that time plays a critical role in our understanding. The increasing availability of large time series datasets allows us to ask new questions about causality, necessitating new methods for modeling dynamic systems and incorporating mechanistic information into causal models.


Causality in the Sciences

Causality in the Sciences

Author: Phyllis McKay Illari

Publisher: Oxford University Press

Published: 2011-03-17

Total Pages: 953

ISBN-13: 0199574138

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Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.


Experimental Political Science and the Study of Causality

Experimental Political Science and the Study of Causality

Author: Rebecca B. Morton

Publisher: Cambridge University Press

Published: 2010-08-06

Total Pages: 607

ISBN-13: 1139490532

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Increasingly, political scientists use the term 'experiment' or 'experimental' to describe their empirical research. One of the primary reasons for doing so is the advantage of experiments in establishing causal inferences. In this book, Rebecca B. Morton and Kenneth C. Williams discuss in detail how experiments and experimental reasoning with observational data can help researchers determine causality. They explore how control and random assignment mechanisms work, examining both the Rubin causal model and the formal theory approaches to causality. They also cover general topics in experimentation such as the history of experimentation in political science; internal and external validity of experimental research; types of experiments - field, laboratory, virtual, and survey - and how to choose, recruit, and motivate subjects in experiments. They investigate ethical issues in experimentation, the process of securing approval from institutional review boards for human subject research, and the use of deception in experimentation.


Causation in Science

Causation in Science

Author: Yemima Ben-Menahem

Publisher: Princeton University Press

Published: 2018-06-12

Total Pages: 221

ISBN-13: 1400889294

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This book explores the role of causal constraints in science, shifting our attention from causal relations between individual events--the focus of most philosophical treatments of causation—to a broad family of concepts and principles generating constraints on possible change. Yemima Ben-Menahem looks at determinism, locality, stability, symmetry principles, conservation laws, and the principle of least action—causal constraints that serve to distinguish events and processes that our best scientific theories mandate or allow from those they rule out. Ben-Menahem's approach reveals that causation is just as relevant to explaining why certain events fail to occur as it is to explaining events that do occur. She investigates the conceptual differences between, and interrelations of, members of the causal family, thereby clarifying problems at the heart of the philosophy of science. Ben-Menahem argues that the distinction between determinism and stability is pertinent to the philosophy of history and the foundations of statistical mechanics, and that the interplay of determinism and locality is crucial for understanding quantum mechanics. Providing historical perspective, she traces the causal constraints of contemporary science to traditional intuitions about causation, and demonstrates how the teleological appearance of some constraints is explained away in current scientific theories such as quantum mechanics. Causation in Science represents a bold challenge to both causal eliminativism and causal reductionism—the notions that causation has no place in science and that higher-level causal claims are reducible to the causal claims of fundamental physics.


The Book of Why

The Book of Why

Author: Judea Pearl

Publisher: Basic Books

Published: 2018-05-15

Total Pages: 432

ISBN-13: 0465097618

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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.


Causality and Causal Modelling in the Social Sciences

Causality and Causal Modelling in the Social Sciences

Author: Federica Russo

Publisher: Springer Science & Business Media

Published: 2008-09-18

Total Pages: 236

ISBN-13: 1402088175

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This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.


The Fundamentals of Political Science Research

The Fundamentals of Political Science Research

Author: Paul M. Kellstedt

Publisher: Cambridge University Press

Published: 2009

Total Pages: 293

ISBN-13: 052187517X

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This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research.


Causality, Probability, and Time

Causality, Probability, and Time

Author: Samantha Kleinberg

Publisher: Cambridge University Press

Published: 2013

Total Pages: 269

ISBN-13: 1107026482

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


Understanding Space, Time and Causality

Understanding Space, Time and Causality

Author: B.V. Sreekantan

Publisher: Taylor & Francis

Published: 2019-12-06

Total Pages: 178

ISBN-13: 0429534744

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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.