| Description |
1 online resource (x, 262 pages) |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
PDF of title page (viewed October 28, 2019) |
| Subject |
Knowledge management.
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Computer science.
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Philosophy.
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Science -- Philosophy.
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Science -- Methodology.
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Causation.
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Time perception.
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Knowledge Management
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Electronic Data Processing
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Philosophy
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Time Perception
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philosophy.
|
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Causation
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Computer science
|
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Knowledge management
|
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Philosophy
|
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Science -- Methodology
|
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Science -- Philosophy
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Time perception
|
| Form |
Electronic book
|
| Author |
Kleinberg, Samantha, editor
|
| ISBN |
9781108592703 |
|
1108592708 |
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