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Author: Samantha Kleinberg
Publisher: Cambridge University Press
Published: 2019-09-26
Total Pages: 273
ISBN-13: 1108476678
DOWNLOAD EBOOKExplores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.
Author: Samantha Kleinberg
Publisher: Cambridge University Press
Published: 2013
Total Pages: 269
ISBN-13: 1107026482
DOWNLOAD EBOOKPresents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.
Author: Michael Waldmann
Publisher: Oxford University Press
Published: 2017
Total Pages: 769
ISBN-13: 0199399557
DOWNLOAD EBOOKCausal 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.
Author: B.V. Sreekantan
Publisher: Taylor & Francis
Published: 2019-12-06
Total Pages: 178
ISBN-13: 0429534744
DOWNLOAD EBOOKThis 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.
Author: Michael Leyton
Publisher: MIT Press
Published: 1992
Total Pages: 644
ISBN-13: 9780262621311
DOWNLOAD EBOOKIn this investigation of the psychological relationship between shape and time, Leyton argues compellingly that shape is used by the mind to recover the past and as such it forms a basis for memory. Michael Leyton's arguments about the nature of perception and cognition are fascinating, exciting, and sure to be controversial. In this investigation of the psychological relationship between shape and time, Leyton argues compellingly that shape is used by the mind to recover the past and as such it forms a basis for memory. He elaborates a system of rules by which the conversion to memory takes place and presents a number of detailed case studies--in perception, linguistics, art, and even political subjugation--that support these rules. Leyton observes that the mind assigns to any shape a causal history explaining how the shape was formed. We cannot help but perceive a deformed can as a dented can. Moreover, by reducing the study of shape to the study of symmetry, he shows that symmetry is crucial to our everyday cognitive processing. Symmetry is the means by which shape is converted into memory. Perception is usually regarded as the recovery of the spatial layout of the environment. Leyton, however, shows that perception is fundamentally the extraction of time from shape. In doing so, he is able to reduce the several areas of computational vision purely to symmetry principles. Examining grammar in linguistics, he argues that a sentence is psychologically represented as a piece of causal history, an archeological relic disinterred by the listener so that the sentence reveals the past. Again through a detailed analysis of art he shows that what the viewer takes to be the experience of a painting is in fact the extraction of time from the shapes of the painting. Finally he highlights crucial aspects of the mind's attempt to recover time in examples of political subjugation.
Author: Judea Pearl
Publisher: Cambridge University Press
Published: 2009-09-14
Total Pages: 487
ISBN-13: 052189560X
DOWNLOAD EBOOKCausality 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 ...
Author: Wolfgang Pauli
Publisher: Springer Science & Business Media
Published: 1994-09-27
Total Pages: 304
ISBN-13: 9783540568599
DOWNLOAD EBOOKWolfgang Pauli was not only a Nobel laureate and one of the creators of modern physics, but also eminent philosopher of modern science. In his essays he writes about space, time and causality, symmetry and the exclusion principle, but also about the role of the unconscious in modern science.
Author: Scott Cunningham
Publisher: Yale University Press
Published: 2021-01-26
Total Pages: 585
ISBN-13: 0300255888
DOWNLOAD EBOOKAn 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.
Author: Nick Huntington-Klein
Publisher: CRC Press
Published: 2021-12-20
Total Pages: 646
ISBN-13: 1000509141
DOWNLOAD EBOOKExtensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences
Author: Judea Pearl
Publisher: Basic Books
Published: 2018-05-15
Total Pages: 432
ISBN-13: 0465097618
DOWNLOAD EBOOKA 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.
