Academic literature on the topic 'Causation'

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Journal articles on the topic "Causation"

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R.Turniyazova, R. Turniyazova. "EMOTIONAL CAUSATION." 2016-yil, 1-son (95) ANIQ VA TABIIY FANLAR SERIYASI 1, no. 95 (May 25, 2023): 1–10. http://dx.doi.org/10.59251/2181-1296.2023.v2.138.2.2044.

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This article describes the expression of causation based on feelings. It substantiated specific types of causation, the formation of emotional causality and its integral connection with the field of psycholinguistics. In the course of studying this process, the views of philosophers and linguists were analyzed. When studying emotional causality, it was found that in this situation, as a result of an accidental or intentional effect of the causator on the causant, the mental state of the referents changes, emotional causality is based on three main factors - cause, effect and mental state. It is proved that the expression of existing concepts arises with emotional causative elements in verbal and non-verbal form. Based on this article, for the first time in Uzbek linguistics, the study of the issue of emotive causality is put on the agenda.
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Wang, Aiqing. "Causation in Classical Chinese During the Warring States Period and in the Han Dynasty." Acta Linguistica Asiatica 11, no. 2 (July 30, 2021): 65–97. http://dx.doi.org/10.4312/ala.11.2.65-97.

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In this paper, I explore causation in Classical Chinese during the Warring States period and in the Han Dynasty. Whether causation is realised via causative use of words with covert causative verbs, or via overt causative verbs, causation structures can always be divided into Agentive and Causative constructions, which can be further categorised into lexical causatives and productive causatives. I also account for causation in Classical Chinese by means of Feng’s (1998, 2000, 2009) prosodic approach and show that both strategies to form causation structures are compatible with a prosodic theory. I discuss both VO and VV causation and state that Agentive and Causative constructions involving covert causative (light) verbs are prosodic words, whereas those involving overt causative verbs exhibit properties of phrases.
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Duah, Reginald Akuoko, E. Kweku Osam, and Nana Aba A. Amfo. "Event Types and (In)Directness of Causation in Akan." Cognitive Semantics 7, no. 1 (April 27, 2021): 54–84. http://dx.doi.org/10.1163/23526416-07010001.

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Abstract This paper presents a proposal on the form-function correlation between direct causation and non-periphrastic causatives on one hand, and indirect causation and periphrastic causatives on the other hand. The study argues that notions of direct and indirect causation are actually features of event types of causation and vary across different event types. We present five event types of causation found in Akan causatives and isolate their properties with regard to the causer, causee, control of resultant state/event and (in)direct physical contact between causer and causee. We show that in Akan, all types of causatives, lexical, cause-effect SVC and analytic causatives can encode any of the major event types of causation. Consequently, rather than mapping causative expressions with notions of direct or indirect causation, we analyze (in)directness of causation as a feature of event types of causation, not of causative expressions themselves. Thus, although the form-function correlation in causatives may hold in some languages we argue that (in)direct causation is not encoded separately in causative forms and constructions.
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Lowe, E. J. "Event Causation and Agent Causation." Grazer Philosophische Studien 61, no. 1 (June 1, 2001): 1–20. http://dx.doi.org/10.1163/18756735-061001003.

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It is a matter of dispute whether we should acknowledge the existence of two distinct species of causation – event causation and agent causation – and, if we should, whether either species of causation is reducible to the other. In this paper, the prospects for such a reduction either way are considered, the conclusion being that a reduction of event causation to agent causation is the more promising option. Agent causation, in the sense understood here, is taken to include but not to be restricted to the intentional causation of an event by a rational agent. But, it is argued, there are certain special features of intentional causation, understood as a sub-species of agent causation, which make the agent-causation approach to human agency a particularly promising one with which to tackle the problem of free will.
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Kroedel, Thomas. "Mental causation as multiple causation." Philosophical Studies 139, no. 1 (May 31, 2007): 125–43. http://dx.doi.org/10.1007/s11098-007-9106-z.

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Gibbons, J. "Mental Causation without Downward Causation." Philosophical Review 115, no. 1 (January 1, 2006): 79–103. http://dx.doi.org/10.1215/00318108-115-1-79.

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Gibbons, John. "Mental Causation without Downward Causation." Philosophical Review 115, no. 1 (January 1, 2006): 79–103. http://dx.doi.org/10.1215/00318108-2005-003.

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Siderits, Mark. "Causation, ‘Humean’ Causation and Emptiness." Journal of Indian Philosophy 42, no. 4 (November 19, 2013): 433–49. http://dx.doi.org/10.1007/s10781-013-9206-3.

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Harbecke, Jens. "Counterfactual Causation and Mental Causation." Philosophia 42, no. 2 (October 2, 2013): 363–85. http://dx.doi.org/10.1007/s11406-013-9496-4.

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Deng, Yongliang, Ying Zhang, Zhenmin Yuan, Rita Yi Man Li, and Tiantian Gu. "Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches." International Journal of Environmental Research and Public Health 20, no. 4 (February 15, 2023): 3386. http://dx.doi.org/10.3390/ijerph20043386.

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Subway operation safety management has become increasingly important due to the severe consequences of accidents and interruptions. As the causative factors and accidents exhibit a complex and dynamic interrelationship, the proposed subway operation accident causation network (SOACN) could represent the actual scenario in a better way. This study used the SOACN to explore subway operation safety risks and provide suggestions for promoting safety management. The SOACN model was built under 13 accident types, 29 causations and their 84 relationships based on the literature review, grounded theory and association rule analysis, respectively. Based on the network theory, topological features were obtained to showcase different roles of an accident or causation in the SOACN, including degree distribution, betweenness centrality, clustering coefficient, network diameter, and average path length. The SOACN exhibits both small-world network and scale-free features, implying that propagation in the SOACN is fast. Vulnerability evaluation was conducted under network efficiency, and its results indicated that safety management should focus more on fire accident and passenger falling off the rail. This study is beneficial for capturing the complex accident safety-risk–causation relationship in subway operations. It offers suggestions regarding safety-related decision optimization and measures for causation reduction and accident control with high efficiency.
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Dissertations / Theses on the topic "Causation"

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Poellinger, Roland. "Concrete causation." Diss., Ludwig-Maximilians-Universität München, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-171789.

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Concrete Causation beschäftigt sich mit Theorien der Verursachung, ihrer Interpretation und ihrer Einbettung in metaphysisch-ontologische Fragestellungen sowie der Anwendung solcher Theorien in naturwissenschaftlichem und entscheidungstheoretischem Kontext. Die Arbeit gliedert sich in vier Kapitel, die eine historisch-systematische Verortung der zentralen Probleme vornehmen (Kapitel 1), um dann eine begriffliche und technische Darstellung der Theorien von David Lewis und Judea Pearl zu liefern (Kapitel 2). Der mathematisch-technische Rahmen von Pearl (in Bayes'schen Netzen) wird nach philosophisch motivierten begrifflichen Überlegungen für eine epistemische Interpretation von Kausalität und in einer Erweiterung des interventionistischen Ansatzes für die Betonung des wissensordnenden Aspekts von Kausalrelationen herangezogen (Kapitel 3). Die Integration von kausalem und nicht-kausalem Wissen in einheitlichen Strukturen stellt einen Ansatz zur Lösung von Problemen der (kausalen) Entscheidungstheorie dar und ermöglicht gleichzeitig die Abbildung von logisch-mathematischen, synonymischen sowie reduktiven Zusammenhängen in operationalisierbaren Netzen der Belief Propagation (Kapitel 4).
Concrete Causation centers about theories of causation, their interpretation, and their embedding in metaphysical-ontological questions, as well as the application of such theories in the context of science and decision theory. The dissertation is divided into four chapters, that firstly undertake the historical-systematic localization of central problems (chapter 1) to then give a rendition of the concepts and the formalisms underlying David Lewis' and Judea Pearl's theories (chapter 2). After philosophically motivated conceptual deliberations Pearl’s mathematical-technical framework is drawn on for an epistemic interpretation and for emphasizing the knowledge-organizing aspect of causality in an extension of the interventionist Bayes net account of causation (chapter 3). Integrating causal and non-causal knowledge in unified structures ultimately leads to an approach towards solving problems of (causal) decision theory and at the same time facilitates the representation of logical-mathematical, synonymical, as well as reductive relationships in efficiently structured, operational nets of belief propagation (chapter 4).
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Morgan, Jennifer Margaret. "Analysing causation." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7205/.

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This thesis will survey several prominent approaches to analysing causation, discuss their differences and similarities, and look at a number of problems which are common to all of them. I will be arguing for the following claims about how we should approach the process of analysing causation. Firstly, I will be arguing that a reductive analysis is desirable, since if we can reductively analyse causation in terms of something empirically accessible, we can explain how it is possible to know anything about causation. I will argue that to reductively analyse causation is to find out what kind of facts ground causal facts. Secondly, I will argue, following Hall and Strevens, that there are two kinds of causation, causal difference making and causal influence. This two-tiered approach explains the cases where we are tempted to ascribe conflicting characteristics to our concept of causation. Thirdly, I will argue that causal influence grounds causal difference making and that it does so necessarily. That the grounding relation holds necessarily is important for defending the two-tiered approach against the objection that it would yield a disjunctive account.
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McKay, Phyllis Kirsten. "Causation and agency." Thesis, King's College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417234.

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Schumacher, Melissa Renée. "Causation and evidence." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101525.

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Thesis: Ph. D. in Linguistics, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2015.
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This work addresses questions about causation and evidence: How can we learn what causes what? Can we get evidence for objects that don't cause anything? And what is the evidential relationship between events in a causal loop? Structural equations accounts of causation seem to provide a good basis for discovering causal relationships through observation. But these accounts can sometimes give the wrong verdict in cases that are structurally similar to cases that they do get right. Distinctions between default and deviant states, and between more and less normal worlds, have been introduced to solve this problem. In "Defaults, Normality, and Control" I argue that both of these kinds of solution introduce new problems without solving the old one. I propose a different theory of causation based on the structural equations account, designed to capture the intuition that the causes of an event are whatever could have, by not occurring, most easily prevented that event. In the philosophical literature, Occam's Razor is standardly taken to be a constraint on the amount of (types of) objects a theory can be justifiably committed to. In "Occam's Razor and Philosophical Objects" I introduce an interpretation of Occam's Razor that doesn't fit that standard mold, but gives plausible answers to the questions "What is theoretical simplicity?" and "Why should we believe the simpler theory?". I then apply it to abstract and non-fundamental objects, and show that theories that include such objects need be no more complex than theories that don't. We can therefore be justified in believing such theories, even though they make the same predictions about observables as alternative theories. In "Playing Dice With a Time Machine: A New Puzzle About Causal Loops", I use an original puzzle case to bring out the problem of calculating the probabilities of events in a causal loop, and I propose a solution. I also point to some difficulties involved in reaching that solution.
by Melissa Renée Schumacher.
Ph. D. in Linguistics
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Loewenstein, Yael Rebecca, and Yael Rebecca Loewenstein. "Counterfactuals Without Causation, Probabilistic Counterfactuals and the Counterfactual Analysis of Causation." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/625614.

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It is near-consensus among those currently working on the semantics of counterfactuals that the correct treatment of counterfactuals (whatever it is) must invoke causal independence in order to rule a particular set of seemingly true counterfactuals – including a famous one called Morgenbesser's Coin (MC) – true. But if we must analyze counterfactuals in terms of causation, this rules out giving a reductive account of causation in terms of counterfactuals, and is, as such, a serious blow to the Humean hope of reducing causation to counterfactual dependence. This dissertation is composed of three self-standing articles. In the first article I argue that counterfactuals like MC are false contrary to appearances; as is the thesis that the correct semantics of counterfactuals must appeal to causal independence. In the second article I argue that there are important, widely-held assumptions about difference-making and its relationship to causation which are false, and which may underlie some of the remaining, most threatening objections to the counterfactual analysis of causation. In the final article I discuss the puzzle of reverse Sobel sequences – an alleged problem for the classic Lewis-Stalnaker semantics for counterfactuals. I argue that none of the extant approaches to the problem are right, and defend a novel solution to the puzzle. If I am correct, reverse Sobel sequences do not threaten the classic analysis. They do, however, give additional evidence for the thesis, forcefully defended by Alan Hájek, that most non-probabilistic 'would'-counterfactuals are false. This motivates placing a stronger emphasis on trying to understand probabilistic counterfactuals first and foremost.
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Roberts, Mark. "Essays in cumulative causation." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620441.

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Ignatenko, D. "Mental causation problem solutions." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/66273.

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Mental causation is the cause and effect relationship of consciousness and the physical world, in particular, the influence of human consciousness on his/her behavior. In everyday life and scientific practice, the interaction between consciousness and the physical world is taken for granted. The influence of mental states and processes on human behavior is recognized as an established fact in everyday psychology, in scientific psychology, and in the philosophy of psychology. At the same time, in the modern philosophy of mind and cognitive science, the problem of mental causation is the subject of extensive discussions.
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Ignatenko, D. "Mental causation problem solutions." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/65312.

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Mental causation is the cause and effect relationship of consciousness and the physical world, in particular, the influence of human consciousness on his/her behavior. In everyday life and scientific practice, the interaction between consciousness and the physical world is taken for granted. The influence of mental states and processes on human behavior is recognized as an established fact in everyday psychology, in scientific psychology, and in the philosophy of psychology. At the same time, in the modern philosophy of mind and cognitive science, the problem of mental causation is the subject of extensive discussions.
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Pearlberg, Daniel. "Causation, Mechanism and Mind." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1430829433.

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Fischer, Enno [Verfasser]. "Actual Causation / Enno Fischer." Hannover : Gottfried Wilhelm Leibniz Universität, 2021. http://d-nb.info/1238222315/34.

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Books on the topic "Causation"

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

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

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

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

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

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Book chapters on the topic "Causation"

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Mullis, Alastair, and Ken Oliphant. "Causation." In Torts, 79–88. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-12659-0_10.

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Busnelli, Francesco D., Giovanni Comandé, Herman Cousy, Dan B. Dobbs, Bill W. Dufwa, Michael G. Faure, Israel Gilead, et al. "Causation." In Principles of European Tort Law, 43–63. Vienna: Springer Vienna, 2005. http://dx.doi.org/10.1007/3-211-27751-x_4.

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Ferey, Samuel. "Causation." In Encyclopedia of Law and Economics, 188–94. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7753-2_633.

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Ferey, Samuel. "Causation." In Encyclopedia of Law and Economics, 1–7. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-7883-6_633-1.

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Herring, Jonathan, and Marise Cremona. "Causation." In Criminal Law, 64–77. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-13561-5_5.

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Salmon, Wesley C. "Causation." In The Blackwell Guide to Metaphysics, 19–42. Oxford, UK: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470998984.ch2.

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Denkel, Arda. "Causation." In The Natural Background of Meaning, 194–212. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9084-6_8.

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Carr, Brian. "Causation." In Metaphysics: An Introduction, 73–99. London: Macmillan Education UK, 1987. http://dx.doi.org/10.1007/978-1-349-18852-9_4.

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Herring, Jonathan. "Causation." In Criminal Law, 55–67. London: Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-47572-5_4.

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Herring, Jonathan. "Causation." In Great Debates in Criminal Law, 24–44. London: Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-47592-3_2.

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Conference papers on the topic "Causation"

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Jaeger, Gregg. "Potentiality and causation." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 6. AIP, 2012. http://dx.doi.org/10.1063/1.3688991.

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Allen, Robert B. "Visualization, causation, and history." In the 2011 iConference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1940761.1940835.

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Mišić Radanović, Nina, and Ivan Vukušić. "CAUSATION IN MEDICAL MALPRACTICE." In EU 2020 – lessons from the past and solutions for the future. Faculty of Law, Josip Juraj Strossmayer University of Osijek, 2020. http://dx.doi.org/10.25234/eclic/11927.

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Ali, Mahrus. "Causation in Environmental Offense." In 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200529.243.

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Ware, Colin. "Perceiving complex causation through interaction." In the Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2487276.2487279.

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Al Hashimy, Amaal Saleh Hassan, and Narayanan Kulathuramaiyer. "Ontology enrichment with causation relations." In 2013 IEEE Conference on Systems, Process & Control (ICSPC). IEEE, 2013. http://dx.doi.org/10.1109/spc.2013.6735129.

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BONIOLO, GIOVANNI, ROSSELLA FARALDO, and ANTONIO SAGGION. "A LOCAL EXPLICATION OF CAUSATION." In Proceedings of the 7th International Workshop on Data Analysis in Astronomy “Livio Scarsi and Vito DiGesù”. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814383295_0013.

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NOORDHOF, PAUL. "COUNTERFACTUALS, CAUSATION AND HUMEAN SUPERVENIENCE." In Proceedings of the 5th Metaphysics of Science Workshop. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814299053_0011.

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Schield, Milo. "Association Vs Causation; Disparity Vs Discrimination." In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t1e2.

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Association is not causation. This claim is central to the teaching of statistics. This paper reviews the phrases used to distinguish these in the everyday media. These phrases are grouped into an A-B-C classification: A indicates association, C indicates causation, and B indicates in-between. This classification is extended to claim that disparity (association) is not discrimination (causation). Finally, disparate impact is distinguished from systemic discrimination. Statistical educators have no expertise in deciding whether an association is causation, whether a disparity is discrimination, or whether a disparate impact involves systemic discrimination. But they do have expertise in analyzing the effects of context on the size and direction of a statistical association or disparity.
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McLay, Richard W., Maureen K. Molloy, and Don Anderson. "Human Factors, Injury Causation, and Animation." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/930902.

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Reports on the topic "Causation"

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Morck, Randall, and Bernard Yeung. Economics, History, and Causation. Cambridge, MA: National Bureau of Economic Research, January 2011. http://dx.doi.org/10.3386/w16678.

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Halpern, Joseph Y., and Christopher Hitchcock. Graded Causation and Defaults. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada582589.

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Milligan, M., E. Ela, B. M. Hodge, B. Kirby, D. Lew, C. Clark, J. DeCesaro, and K. Lynn. Cost-Causation and Integration Cost Analysis for Variable Generation. Office of Scientific and Technical Information (OSTI), June 2011. http://dx.doi.org/10.2172/1018105.

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Chatterji, Pinka, Dhaval Dave, Robert Kaestner, and Sara Markowitz. Alcohol Abuse and Suicide Attempts Among Youth - Correlation or Causation? Cambridge, MA: National Bureau of Economic Research, April 2003. http://dx.doi.org/10.3386/w9638.

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Burfeind, James. The role of the family in delinquency causation: an interactional view. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.851.

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Jackson, William G. Third-Source Causation: An Alternative Explanation for the Check Mark Pattern. Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada455555.

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Ludwick, Douglas A. Differential Attendance in the Reserve Component: Causation and Recommendations for Improvement. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada612278.

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Kasantikul, Vira, and James V. Ouellet. Alcohol Use and Motorcycle Accident Causation in Thailand and Los Angeles. Warrendale, PA: SAE International, October 2005. http://dx.doi.org/10.4271/2005-32-0003.

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Ahoba-Sam, Rhoda, and David Charles. Building of academics' networks: An analysis based on causation and effectuation theory. Center for Higher Education Policy Studies, 2019. http://dx.doi.org/10.3990/4.2535-5686.2019.06.

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Blanchard, David. The effects of negligence and causation information on jurors' determination of liability. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6083.

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