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  1. Causality and causal modelling in the social sciences.Federica Russo - 2009 - Springer, Dordrecht.
    The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant (...)
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  • Logical semantics for causal constructions.Richmond H. Thomason - unknown
    Montague’s framework for semantic interpretation has always been less well adapted to the interpretation of words than of syntactic constructions. In the late 1970s, David Dowty addressed this problem, concentrating on the interpretation of tense, aspect, inchoatives, and causatives in an extension of Montague’s Intensional Logic. In this paper I will try to revive this project, conceiving it as part of a larger task aiming at the interpretation of derivational morphology. I will try to identity some obstacles arising in Dowty’s (...)
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  • Twenty-five years of linguistics and philosophy.Francis Jeffry Pelletier & Richmond H. Thomason - 2002 - Linguistics and Philosophy 25 (5-6):507-529.
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  • Models of Herbert A. Simon.Mie Augier - 2000 - Perspectives on Science 8 (4):407-443.
    : The work of Herbert A. Simon has drawn increasing attention from modern scholars who argue that Simon's work changed during the Cold War. This is due to the fact that Simon seemingly changed the substance of his research in the 1950s. This paper argues that Simon did not change in any significant way, but was lead by his interest in decision making and rationality into areas of economics, political science, sociology, psychology, organization theory, and computer science. He used elements (...)
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  • Causality and model abstraction.Yumi Iwasaki & Herbert A. Simon - 1994 - Artificial Intelligence 67 (1):143-194.
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  • Many approaches, but few arrivals: Merton and the columbia model of theory construction.Stephen Turner - 2009 - Philosophy of the Social Sciences 39 (2):174-211.
    Robert Merton's essays on theories of the middle range and his essays on functional explanation and the structural approach are among the most influential in the history of sociology. But their import is a puzzle. He explicitly allied himself with some of the most extreme scientistic formalists and contributed to and endorsed the Columbia model of theory construction. But Merton never responded to criticisms by Ernest Nagel of his arguments or acknowledged the rivalry between Lazarsfeld and Herbert Simon, rarely cited (...)
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  • Une analyse sémantique du concept de causalité est-elle possible?Maurice Gagnon - 1975 - Philosophiques 2 (2):187-205.
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  • Nonmonotonic Reasoning and Causation: Comment.Herbert A. Simon - 1991 - Cognitive Science 15 (2):293-300.
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  • Learning qualitative models from numerical data.Jure Žabkar, Martin Možina, Ivan Bratko & Janez Demšar - 2011 - Artificial Intelligence 175 (9-10):1604-1619.
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  • Shrinking Merton.Stephen P. Turner - 2009 - Philosophy of the Social Sciences 39 (3):481-489.
    Agassi, Sztompka, Kincaid, and Crothers argue, in various ways, that Merton should not be held responsible for his published views on theory construction, and they provide psychological or strategic explanations for his failure to resolve issues with these views. I argue that this line of defense is unnecessary. A better case for Merton would be that theories in his middle-range sense were a nontechnical alternative solution to the problem of spurious correlation. Middle-range theory was not, however, a solution to the (...)
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  • Efficient compositional modeling for generating causal explanations.P. Pandurang Nayak & Leo Joskowicz - 1996 - Artificial Intelligence 83 (2):193-227.
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  • Causal approximations.P. Pandurang Nayak - 1994 - Artificial Intelligence 70 (1-2):277-334.
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  • The Logic of Causal Inference: Econometrics and the Conditional Analysis of Causation.Kevin D. Hoover - 1990 - Economics and Philosophy 6 (2):207-234.
    Discontented people might talk of corruption in the Commons, closeness in the Commons and the necessity of reforming the Commons, said Mr. Spenlow solemnly, in conclusion; but when the price of wheat per bushel had been the highest, the Commons had been the busiest; and a man might lay his hand upon his heart, and say this to the whole world, – ‘Touch the Commons, and down comes the country!’.
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  • Causality in device behavior.Yumi Iwasaki & Herbert A. Simon - 1986 - Artificial Intelligence 29 (1):3-32.
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  • Theories of causal ordering.Johan de Kleer & John Seely Brown - 1986 - Artificial Intelligence 29 (1):33-61.
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  • Questioning Impact: A Cross-Disciplinary Review of Certification Standards for Sustainability.Joep Cornelissen, Andreas Rasche, Mirjam D. Werner & Sylke F. Jellema - 2022 - Business and Society 61 (5):1042-1082.
    This article provides a review of scholarly approaches to assessing the impact of certification standards for sustainability. While we observe that some theoretical advances have afforded a better understanding of the potential impacts of adopting such standards, we also find that progress has been constrained due to a strong emphasis on assessing impact via linear causal pathways. This linear focus on the net effects for single stakeholders, such as farmers and producers, local communities and ecosystems, falls short of adequately capturing (...)
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