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Books on the topic 'Causation'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Ernest, Sosa, and Tooley Michael 1941-, eds. Causation. Oxford: Oxford University Press, 1993.

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2

John, Heil, and Mele Alfred R. 1951-, eds. Mental causation. Oxford: Clarendon Press, 1993.

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3

Bureau, Property Loss Research, ed. Causation annotations. Schaumburg, Ill. (1501 Woodfield Rd., Suite 400 West, Schaumburg 60173-4978): The Bureau, 1991.

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4

Bar-Asher Siegal, Elitzur A., and Nora Boneh, eds. Perspectives on Causation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34308-8.

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Weisberg, Herbert I. Bias and Causation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470631102.

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Eberz, Sebastian. Effectuation oder Causation? Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20249-1.

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7

Evans, Alfred S. Causation and Disease. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3024-4.

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8

Forster, Stevenson Leslie, Squires Roger 1940-, and Haldane John, eds. Mind, causation, & action. Oxford, OX, UK: B. Blackwell, 1986.

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9

Goldberg, Richard. Perspectives on causation. Oxford: Hart Pub., 2011.

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10

Deshpande, Sharad. Causation, explanation & understanding. Pune: Indian Philosophical Quarterely, Dept. of Philosophy, University of Pune, 2001.

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11

Schmaltz, Tad M. Descartes on causation. New York: Oxford University Press, 2007.

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12

Schmaltz, Tad M. Descartes on causation. New York, NY: Oxford University Press, 2007.

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13

Fenton-Glynn, Luke. Causation. University of Cambridge ESOL Examinations, 2021.

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14

Kutach, Douglas. Causation. Polity Press, 2014.

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15

Laureno, Robert. Causation. Edited by Robert Laureno. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190607166.003.0011.

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This chapter on “Causation” examines the determination of the causes of neurologic disease. Considered are Koch-Henle postuates and Bradford Hill criteria. When we talk about “cause,” we make a distinction between necessary and sufficient causes, as well as those causes of disease that are neither necessary nor sufficient, that contribute to the development of a disease but cannot by themselves cause the disease. Probabilistic causes show their effects in combination with other probabilistic causes, known and unknown. In the absence of experimental evidence for cause, we rely on observational information. Observational study may be prospective or retrospective (case-control study). The criteria for medicolegal causation in the courtroom and in the clinic differ, and the neurologist asked to determine cause in a court of law must rely on experience, good judgment, and common sense.

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16

Kutach, Douglas. Causation. Polity Press, 2014.

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17

Hall, Ned. Causation. Oxford University Press, 2007. http://dx.doi.org/10.1093/oxfordhb/9780199234769.003.0019.

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18

Rota, Michael. Causation. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195326093.013.0009.

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19

Sperino, Sandra F., and Suja A. Thomas. Causation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190278380.003.0005.

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Causation is another legal concept that courts use to dismiss workers’ discrimination claims. Causation requires some connection between the wrongful, discriminatory conduct and the harm that occurs. While causation can work as a general principle, courts have developed causation doctrines that unfairly limit discrimination claims. Courts declare that the worker has not shown a causal connection between discriminatory words or conduct and a later employment decision, even when a reasonable jury might decide there is evidence of discrimination.

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20

Causation. Polity Press, 2014.

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21

Beebee, H. Causation. Routledge, 2005.

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22

Fenton-Glynn, Luke. Causation. University of Cambridge ESOL Examinations, 2021.

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23

Kutach, Douglas. Causation. Polity Press, 2014.

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24

Kutach, Douglas. Causation. Polity Press, 2014.

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25

Causation. Cambridge University Press, 2021.

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26

Anjum, Rani Lill, and Stephen Mumford. Evidence of Causation Is Not Causation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733669.003.0003.

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Philosophers draw a distinction between ontology and epistemology: a distinction between what is and what we know. What counts as evidence of causation will be fixed by our choice of methods of discovery, and our choice of methods will be fixed by what we take causation to be. Nevertheless, causation cannot be identified with its methods of discovery. Hume argued that causation was not directly observable. If this is the case, we need methods that can reliably latch on to the signs of causation. But we cannot automatically judge there to be no causation if we find no sign of it.

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27

Schmaltz, Tad M., ed. Efficient Causation. Oxford University Press, 2014. http://dx.doi.org/10.1093/acprof:oso/9780199782185.001.0001.

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28

Maslen, Cei, Terry Horgan, and Helen Daly. Mental Causation. Edited by Helen Beebee, Christopher Hitchcock, and Peter Menzies. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199279739.003.0025.

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Mental causation is held so dear because it seems essential in order for people to do anything (at least voluntarily). If one accepts Davidson's view that motivating reasons are causes, then (as Kim puts it) ‘agency is possible only if mental causation is possible’. Many kinds of mental items are supposed to be causes: beliefs, desires, sensations, emotions, the contents of beliefs and desires, and the phenomenal mental properties of sensations and beliefs (i.e. those properties such that there is ‘something it is like’ to experience them, if sensations and beliefs have such properties). Not only are mental states supposed to be causes (and effects), but so also are mental properties.

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29

Hitchcock, Christopher. Probabilistic Causation. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.41.

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This chapter will explore a variety of projects that aim to characterize causal concepts using probability. These are, somewhat arbitrarily, divided into four categories. First, a tradition within philosophy that has aimed to define, or at least constrain, causation in terms of conditional probability is discussed. Secondly, the use of causal Bayes nets to represent causal relations, to facilitate inferences from probabilities to causal relations, and to ‘identify’ causal quantities in probabilistic terms is discussed. Thirdly, efforts to measure causal strength in probabilistic terms are reviewed, with particular attention to the significance of these measures in the context of epidemiology. Finally, attempts are discussed to analyze the relation of ‘actual causation’ (sometimes called ‘singular causation’) using probability.

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30

Charles, David. Teleological Causation. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195187489.013.0010.

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31

Kim, Jaegwon. Mental Causation. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199262618.003.0002.

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32

Danks, David. Singular Causation. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.15.

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Causal relations between specific events are often critically important for learning, understanding, and reasoning about the world. This chapter examines both philosophical accounts of the nature of singular causation, and psychological theories of people’s judgments and reasoning about singular causation. It explores the content of different classes of theories, many of which are based on either some type of physical process connecting cause and effect, or else some kind of difference-making (or counterfactual) impact of the cause on the effect. In addition, this chapter examines various theoretical similarities and differences, particularly between philosophical and psychological theories that appear superficially similar. One consistent theme that emerges in almost every account is the role of general causal relations in shaping human judgments and understandings about singular causation.

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33

Hitchcock, Christopher. Actual Causation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198746911.003.0007.

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This chapter connects two themes in the work of Peter Menzies: (1) the agency theory of causation; and (2) the analysis of actual causation in terms of structural equation models together with considerations of normality. According to the latter type of analysis, actual causation involves certain kinds of path-specific effects. What is the practical benefit of knowing about such effects? The chapter argues that such knowledge is not necessary for one-shot decisions, but is crucial for plans that involve multiple steps. Such plans require that we know how our interventions will work in conjunction with future interventions that are feasible, expected, and desirable. This explains both the focus on path-specific effects, and the sensitivity of actual causation to considerations of normality.

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34

de Charms, R. Personal Causation. Routledge, 2013. http://dx.doi.org/10.4324/9781315825632.

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35

Dowe, Phil. Physical Causation. Cambridge University Press, 2011.

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36

Clement, Burton. Causation Loop. Lulu Press, Inc., 2019.

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37

Weaver, Christopher Gregory. Fundamental Causation. Taylor & Francis Group, 2020.

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38

Marcus, Eric. Rational Causation. Harvard University Press, 2012.

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39

MacIver, Robert M. Social Causation. Peter Smith Publisher Inc, 1986.

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40

Dowe, Phil. Physical Causation. Cambridge University Press, 2009.

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41

Henry, Alfred H. Spiritual Causation. Kessinger Publishing, 2005.

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42

Mele, Alfred R., and John Heil. Mental Causation. Oxford University Press, 1995.

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43

Rational causation. Cambridge, Mass: Harvard University Press, 2012.

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44

Rational Causation. Harvard University Press, 2012.

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45

(Editor), John Heil, and Alfred Mele (Editor), eds. Mental Causation. Oxford University Press, USA, 1995.

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46

Ehring, Douglas. Causation and Persistence: A Theory of Causation. Oxford University Press, 1997.

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47

Causation and Persistence: A Theory of Causation. Oxford University Press, Incorporated, 1997.

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48

Causation and persistence: A theory of causation. New York: Oxford University Press, 1997.

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49

Copley, Bridget, and Fabienne Martin. Causation in Grammatical Structures. Oxford University Press, 2014.

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50

Copley, Bridget, and Fabienne Martin. Causation in Grammatical Structures. Oxford University Press, 2014.

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