Causality (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Causality" in English language version.

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  • Lusthaus, Dan. "What is and isn't Yogācāra". Yogacara Buddhism Research Associations. Resources for East Asian Language and Thought, A. Charles Muller Faculty of Letters, University of Tokyo [Site Established July 1995]. Retrieved 30 January 2016.

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  • "cause". Cambridge Dictionary. 30 October 2024. Retrieved 31 October 2024.

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  • Compare: Bunge, Mario (1959). Causality and Modern Science. Vol. 187 (3, revised ed.) (published 1979). pp. 123–124. doi:10.1038/187092A0. ISBN 9780486144870. S2CID 4290073. Multiple causation has been defended, and even taken for granted, by the most diverse thinkers [...] simple causation is suspected of artificiality on account of its very simplicity. Granted, the assignment of a single cause (or effect) to a set of effects (or causes) may be a superficial, nonilluminating hypothesis. But so is usually the hypothesis of simple causation. Why should we remain satisfied with statements of causation, instead of attempting to go beyond the first simple relation that is found? {{cite book}}: |journal= ignored (help)
  • Simon, Herbert; Rescher, Nicholas (1966). "Cause and Counterfactual". Philosophy of Science. 33 (4): 323–340. doi:10.1086/288105. S2CID 224834481.
  • Menzies, P.; Price, H. (1993). "Causation as a Secondary Quality". British Journal for the Philosophy of Science. 44 (2): 187–203. CiteSeerX 10.1.1.28.9736. doi:10.1093/bjps/44.2.187. S2CID 160013822.
  • Kinsler, P. (2011). "How to be causal". Eur. J. Phys. 32 (6): 1687–1700. arXiv:1106.1792. Bibcode:2011EJPh...32.1687K. doi:10.1088/0143-0807/32/6/022. S2CID 56034806.
  • Henschen, Tobias (2018). "The in-principle inconclusiveness of causal evidence in macroeconomics". European Journal for the Philosophy of Science. 8 (3): 709–733. doi:10.1007/s13194-018-0207-7. S2CID 158264284.
  • Maziarz Mariusz, Mróz Robert (2020). "A rejoinder to Henschen: the issue of VAR and DSGE models". Journal of Economic Methodology. 27 (3): 266–268. doi:10.1080/1350178X.2020.1731102. S2CID 212838652.
  • Gregory, Frank Hutson (1992). "Cause, Effect, Efficiency & Soft Systems Models, Warwick Business School Research Paper No. 42" . Journal of the Operational Research Society. 44 (4): 333–344. doi:10.1057/jors.1993.63. ISSN 0160-5682. S2CID 60817414.

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  • Ahn, Dukgeun; Moon, William J. (6 May 2010). "Alternative Approach to Causation Analysis in Trade Remedy Investigations". Journal of World Trade. doi:10.54648/TRAD2010039. SSRN 1601531.

stanford.edu

plato.stanford.edu

  • Falcon, Andrea (2012). Edward N. Zalta (ed.). "Aristotle on Causality". The Stanford Encyclopedia of Philosophy (Winter 2012 ed.). In the Physics, Aristotle builds on his general account of the four causes by developing explanatory principles that are specific to the study of nature. Here Aristotle insists that all four modes of explanation are called for in the study of natural phenomena, and that the job of "the student of nature is to bring the why-question back to them all in the way appropriate to the science of nature" (Phys. 198 a 21–23). The best way to understand this methodological recommendation is the following: the science of nature is concerned with natural bodies insofar as they are subject to change, and the job of the student of nature is to provide the explanation of their natural change. The factors that are involved in the explanation of natural change turn out to be matter, form, that which produces the change, and the end of this change. Note that Aristotle does not say that all four explanatory factors are involved in the explanation of each and every instance of natural change. Rather, he says that an adequate explanation of natural change may involve a reference to all of them. Aristotle goes on by adding a specification on his doctrine of the four causes: the form and the end often coincide, and they are formally the same as that which produces the change (Phys. 198 a 23–26).

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  • Verma, T. and Pearl, J., "Equivalence and Synthesis of Causal Models", Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, (July, Cambridge, Massachusetts), pp. 220–227, 1990. Reprinted in P. Bonissone, M. Henrion, L.N. Kanal and J.F.\ Lemmer (Eds.), Uncertainty in Artificial Intelligence 6, Amsterdam: Elsevier Science Publishers, B.V., pp. 225–268, 1991

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