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  1. Explanation: a mechanist alternative.William Bechtel & Adele Abrahamsen - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):421-441.
    Explanations in the life sciences frequently involve presenting a model of the mechanism taken to be responsible for a given phenomenon. Such explanations depart in numerous ways from nomological explanations commonly presented in philosophy of science. This paper focuses on three sorts of differences. First, scientists who develop mechanistic explanations are not limited to linguistic representations and logical inference; they frequently employ diagrams to characterize mechanisms and simulations to reason about them. Thus, the epistemic resources for presenting mechanistic explanations are (...)
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  • Causes That Make a Difference.C. Kenneth Waters - 2007 - Journal of Philosophy 104 (11):551-579.
    Biologists studying complex causal systems typically identify some factors as causes and treat other factors as background conditions. For example, when geneticists explain biological phenomena, they often foreground genes and relegate the cellular milieu to the background. But factors in the milieu are as causally necessary as genes for the production of phenotypic traits, even traits at the molecular level such as amino acid sequences. Gene-centered biology has been criticized on the grounds that because there is parity among causes, the (...)
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  • Causes and Conditions.J. L. Mackie - 1965 - American Philosophical Quarterly 2 (4):245 - 264.
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  • Functional stability and systems level causation.Anders Strand & Gry Oftedal - 2009 - Philosophy of Science 76 (5):809-820.
    A wide range of gene knockout experiments shows that functional stability is an important feature of biological systems. On this backdrop, we present an argument for higher‐level causation based on counterfactual dependence. Furthermore, we sketch a metaphysical picture providing resources to explain the metaphysical nature of functional stability, higher‐level causation, and the relevant notion of levels. Our account aims to clarify the role empirical results and philosophical assumptions should play in debates about reductionism and higher‐level causation. It thereby contributes to (...)
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  • How practical know‐how contextualizes theoretical knowledge: Exporting causal knowledge from laboratory to nature.C. Kenneth Waters - 2008 - Philosophy of Science 75 (5):707-719.
    Leading philosophical accounts presume that Thomas H. Morgan’s transmission theory can be understood independently of experimental practices. Experimentation is taken to be relevant to confirming, rather than interpreting, the transmission theory. But the construction of Morgan’s theory went hand in hand with the reconstruction of the chief experimental object, the model organism Drosophila melanogaster . This raises an important question: when a theory is constructed to account for phenomena in carefully controlled laboratory settings, what knowledge, if any, indicates the theory’s (...)
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  • Contrastive causation.Jonathan Schaffer - 2005 - Philosophical Review 114 (3):327-358.
    Causation is widely assumed to be a binary relation: c causes e. I will argue that causation is a quaternary, contrastive relation: c rather than C* causes e rather than E*, where C* and E* are nonempty sets of contrast events. Or at least, I will argue that treating causation as contrastive helps resolve some paradoxes.
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  • (4 other versions)Causation.David Lewis - 1973 - Journal of Philosophy 70 (17):556-567.
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  • Explanation as orgasm.Alison Gopnik - 1998 - Minds and Machines 8 (1):101-118.
    I argue that explanation should be thought of as the phenomenological mark of the operation of a particular kind of cognitive system, the theory-formation system. The theory-formation system operates most clearly in children and scientists but is also part of our everyday cognition. The system is devoted to uncovering the underlying causal structure of the world. Since this process often involves active intervention in the world, in the case of systematic experiment in scientists, and play in children, the cognitive system (...)
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  • Thinking about mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
    The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.
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  • The Architecture of Complexity.Herbert A. Simon - 1962 - Proceedings of the American Philosophical Society 106.
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  • Wesley Salmon’s Process Theory of Causality and the Conserved Quantity Theory.Phil Dowe - 1992 - Philosophy of Science 59 (2):195-216.
    This paper examines Wesley Salmon's "process" theory of causality, arguing in particular that there are four areas of inadequacy. These are that the theory is circular, that it is too vague at a crucial point, that statistical forks do not serve their intended purpose, and that Salmon has not adequately demonstrated that the theory avoids Hume's strictures about "hidden powers". A new theory is suggested, based on "conserved quantities", which fulfills Salmon's broad objectives, and which avoids the problems discussed.
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  • Understanding Interests and Causal Explanation.Petri Ylikoski - 2001 - Dissertation, University of Helsinki
    This work consists of two parts. Part I will be a contribution to a philo- sophical discussion of the nature of causal explanation. It will present my contrastive counterfactual theory of causal explanation and show how it can be used to deal with a number of problems facing theories of causal explanation. Part II is a contribution to a discussion of the na- ture of interest explanation in social studies of science. The aim is to help to resolve some controversies (...)
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  • The fearless vampire conservator: Phillip Kitcher and genetic determinism.Paul E. Griffiths - 2006 - In Christoph Rehmann-Sutter & Eva M. Neumann-Held (eds.), Genes in Development: Rethinking the Molecular Paradigm. Duke University Press. pp. 175-198.
    Genetic determinism is the idea that many significant human characteristics are rendered inevitable by the presence of certain genes. The psychologist Susan Oyama has famously compared arguing against genetic determinism to battling the undead. Oyama suggests that genetic determinism is inherent in the way we currently represent genes and what genes do. As long as genes are represented as containing information about how the organism will develop, they will continue to be regarded as determining causes no matter how much evidence (...)
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  • The role of contrast in causal and explanatory claims.Christopher Hitchcock - 1996 - Synthese 107 (3):395 - 419.
    Following Dretske (1977), there has been a considerable body of literature on the role of contrastive stress in causal claims. Following van Fraassen (1980), there has been a considerable body of literature on the role of contrastive stress in explanations and explanation-requesting why-questions. Amazingly, the two bodies of literature have remained almost entirely disjoint. With an understanding of the contrastive nature of ordinary causal claims, and of the linguistic roles of contrastive stress, it is possible to provide a unified account (...)
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  • Sensitive and insensitive causation.James Woodward - 2006 - Philosophical Review 115 (1):1-50.
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  • What’s in a Cause?: The Pragmatic Dimensions of Genetic Explanations. [REVIEW]Lisa Gannett - 1999 - Biology and Philosophy 14 (3):349-373.
    The paper argues for a pragmatic account of genetic explanation. This is to say that when a disease or other trait is termed genetic, the reasons for singling out genes as causes over other, also necessary, genetic and nongenetic conditions are not wholly theoretical but include pragmatic dimensions. Whether the explanation is the presence of a trait in an individual or differences in a trait among individuals, genetic explanations are context-dependent in three ways: they are relative to a causal background (...)
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  • The transmission sense of information.Carl T. Bergstrom & Martin Rosvall - 2011 - Biology and Philosophy 26 (2):159-176.
    Biologists rely heavily on the language of information, coding, and transmission that is commonplace in the field of information theory developed by Claude Shannon, but there is open debate about whether such language is anything more than facile metaphor. Philosophers of biology have argued that when biologists talk about information in genes and in evolution, they are not talking about the sort of information that Shannon’s theory addresses. First, philosophers have suggested that Shannon’s theory is only useful for developing a (...)
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  • Causal isolation robustness analysis: the combinatorial strategy of circadian clock research.Tarja Knuuttila & Andrea Loettgers - 2011 - Biology and Philosophy 26 (5):773-791.
    This paper distinguishes between causal isolation robustness analysis and independent determination robustness analysis and suggests that the triangulation of the results of different epistemic means or activities serves different functions in them. Circadian clock research is presented as a case of causal isolation robustness analysis: in this field researchers made use of the notion of robustness to isolate the assumed mechanism behind the circadian rhythm. However, in contrast to the earlier philosophical case studies on causal isolation robustness analysis (Weisberg and (...)
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  • Explaining differences and weighting causes.Germund Hesslow - 1983 - Theoria 49 (2):87-111.
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  • (1 other version)Knowledge-Making Distinctions in Synthetic Biology.Maureen A. O'Malley, Alexander Powell, Jonathan F. Davies & Jane Calvert - 2008 - Bioessays 30 (1):57-65.
    Synthetic biology is an increasingly high-profile area of research that can be understood as encompassing three broad approaches towards the synthesis of living systems: DNA-based device construction, genome-driven cell engineering and protocell creation. Each approach is characterized by different aims, methods and constructs, in addition to a range of positions on intellectual property and regulatory regimes. We identify subtle but important differences between the schools in relation to their treatments of genetic determinism, cellular context and complexity. These distinctions tie into (...)
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  • Synthetic Biology, Gödel, and the Blind Watchmaker.Andrés Moya - 2009 - Biological Theory 4 (4):319-322.
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  • Distributed robustness versus redundancy as causes of mutational robustness.Andreas Wagner - 2005 - Bioessays 27 (2):176-188.
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  • Technological biology? Things and kinds in synthetic biology.Pablo Schyfter - 2012 - Biology and Philosophy 27 (1):29-48.
    Social scientific and humanistic research on synthetic biology has focused quite narrowly on questions of epistemology and ELSI. I suggest that to understand this discipline in its full scope, researchers must turn to the objects of the field—synthetic biological artifacts—and study them as the objects in the making of a science yet to be made. I consider one fundamentally important question: how should we understand the material products of synthetic biology? Practitioners in the field, employing a consistent technological optic in (...)
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  • Synthetic biology and the technicity of biofuels.Adrian Mackenzie - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (2):190-198.
    The principal existing real-world application of synthetic biology is biofuels. Several ‘next generation biofuel’ companies—Synthetic Genomics, Amyris and Joule Unlimited Technologies—claim to be using synthetic biology to make biofuels. The irony of this is that highly advanced science and engineering serves the very mundane and familiar realm of transport. Despite their rather prosaic nature, biofuels could offer an interesting way to highlight the novelty of synthetic biology from several angles at once. Drawing on the French philosopher of technology and biology (...)
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  • Causation and Counterfactual Dependence in Robust Biological Systems.Anders Strand & Gry Oftedal - 2013 - In Hanne Andersen, Dennis Dieks, Wenceslao J. Gonzalez, Thomas Uebel & Gregory Wheeler (eds.), New Challenges to Philosophy of Science. Springer Verlag. pp. 179--193.
    In many biological experiments, due to gene-redundancy or distributed backup mechanisms, there are no visible effects on the functionality of the organism when a gene is knocked out or down. In such cases there is apparently no counterfactual dependence between the gene and the phenotype in question, although intuitively the gene is causally relevant. Due to relativity of causal relations to causal models, we suggest that such cases can be handled by changing the resolution of the causal model that represents (...)
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