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  1. Typology and Natural Kinds in Evo-Devo.Ingo Brigandt - 2021 - In Nuño De La Rosa Laura & Müller Gerd (eds.), Evolutionary Developmental Biology: A Reference Guide. Springer. pp. 483-493.
    The traditional practice of establishing morphological types and investigating morphological organization has found new support from evolutionary developmental biology (evo-devo), especially with respect to the notion of body plans. Despite recurring claims that typology is at odds with evolutionary thinking, evo-devo offers mechanistic explanations of the evolutionary origin, transformation, and evolvability of morphological organization. In parallel, philosophers have developed non-essentialist conceptions of natural kinds that permit kinds to exhibit variation and undergo change. This not only facilitates a construal of species (...)
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  • Mechanisms, counterfactuals and laws.Stavros Ioannidis & Stathis Psillos - 2017 - In Stuart Glennan & Phyllis McKay Illari (eds.), The Routledge Handbook of Mechanisms and Mechanical Philosophy. Routledge. pp. 144-156.
    In this chapter we examine the relation between mechanisms and laws/counterfactuals by revisiting the main notions of mechanism found in the literature. We distinguish between two different conceptions of ‘mechanism’: mechanisms-of underlie or constitute a causal process; mechanisms-for are complex systems that function so as to produce a certain behavior. According to some mechanists, a mechanism fulfills both of these roles simultaneously. The main argument of the chapter is that there is an asymmetrical dependence between both kinds of mechanisms and (...)
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  • Mechanisms without mechanistic explanation.Naftali Weinberger - 2017 - Synthese:1-18.
    Some recent accounts of constitutive relevance have identified mechanism components with entities that are causal intermediaries between the input and output of a mechanism. I argue that on such accounts there is no distinctive inter-level form of mechanistic explanation and that this highlights an absence in the literature of a compelling argument that there are such explanations. Nevertheless, the entities that these accounts call ‘components’ do play an explanatory role. Studying causal intermediaries linking variables Xand Y provides knowledge of the (...)
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  • Mechanisms without mechanistic explanation.Naftali Weinberger - 2019 - Synthese 196 (6):2323-2340.
    Some recent accounts of constitutive relevance have identified mechanism components with entities that are causal intermediaries between the input and output of a mechanism. I argue that on such accounts there is no distinctive inter-level form of mechanistic explanation and that this highlights an absence in the literature of a compelling argument that there are such explanations. Nevertheless, the entities that these accounts call ‘components’ do play an explanatory role. Studying causal intermediaries linking variables Xand Y provides knowledge of the (...)
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  • Applying mechanical philosophy to web science: The case of social machines.Paul R. Smart, Kieron O’Hara & Wendy Hall - 2021 - European Journal for Philosophy of Science 11 (3):1-29.
    Social machines are a prominent focus of attention for those who work in the field of Web and Internet science. Although a number of online systems have been described as social machines, there is, as yet, little consensus as to the precise meaning of the term “social machine.” This presents a problem for the scientific study of social machines, especially when it comes to the provision of a theoretical framework that directs, informs, and explicates the scientific and engineering activities of (...)
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  • Experiment, Downward Causation, and Interventionist Levels of Explanation.Veli-Pekka Parkkinen - 2016 - International Studies in the Philosophy of Science 30 (3):245-261.
    This article considers interventionist arguments for downward causation and non-fundamental level causal explanation from the point of view of inferring causation from experiments. Several authors have utilised the interventionist theory of causal explanation to argue that the causal exclusion argument is moot and that higher-level as well as downward causation is real. I show that this argument can be made when levels are understood as levels of grain, leaving us with a choice between causal explanations pitched at different levels. Causal (...)
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  • Breaking explanatory boundaries: flexible borders and plastic minds.Michael David Kirchhoff & Russell Meyer - 2019 - Phenomenology and the Cognitive Sciences 18 (1):185-204.
    In this paper, we offer reasons to justify the explanatory credentials of dynamical modeling in the context of the metaplasticity thesis, located within a larger grouping of views known as 4E Cognition. Our focus is on showing that dynamicism is consistent with interventionism, and therefore with a difference-making account at the scale of system topologies that makes sui generis explanatory differences to the overall behavior of a cognitive system. In so doing, we provide a general overview of the interventionist approach. (...)
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  • Mutual manipulability and causal inbetweenness.Totte Harinen - 2018 - Synthese 195 (1):35-54.
    Carl Craver’s mutual manipulability criterion aims to pick out all and only those components of a mechanism that are constitutively relevant with respect to a given phenomenon. In devising his criterion, Craver has made heavy use of the notion of an ideal intervention, which is a tool for illuminating causal concepts in causal models. The problem is that typical mechanistic models contain non-causal relations in addition to causal ones, which is why the standard concept of an ideal intervention is not (...)
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  • Hierarchies, Networks, and Causality: The Applied Evolutionary Epistemological Approach.Nathalie Gontier - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (2):313-334.
    Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes necessitates theorizing (...)
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  • Six Theses on Mechanisms and Mechanistic Science.Stuart Glennan, Phyllis Illari & Erik Weber - 2022 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 53 (2):143-161.
    In this paper we identify six theses that constitute core results of philosophical investigation into the nature of mechanisms, and of the role that the search for and identification of mechanisms play in the sciences. These theses represent the fruits of the body of research that is now often called New Mechanism. We concisely present the main arguments for these theses. In the literature, these arguments are scattered and often implicit. Our analysis can guide future research in many ways: it (...)
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  • Can Interventions Rescue Glennan’s Mechanistic Account of Causality?Lorenzo Casini - 2016 - British Journal for the Philosophy of Science 67 (4):1155-1183.
    Glennan appeals to interventions to solve the ontological and explanatory regresses that threaten his mechanistic account of causality . I argue that Glennan’s manoeuvre fails. The appeal to interventions is not able to address the ontological regress, and it blocks the explanatory regress only at the cost of making the account inapplicable to non-modular mechanisms. I offer a solution to the explanatory regress that makes use of dynamic Bayesian networks. My argument is illustrated by a case study from systems biology, (...)
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  • On the supposed explanatory heteronomy of functional biology.Gustavo Caponi - 2015 - Scientiae Studia 13 (3):547-575.
    RESUMENSegún un punto de vista muy difundido, y alineado con la concepción nómica de la explicación causal, la biología funcional está sometida a un régimen de heteronomía explicativa en cuyo marco los fenómenos orgánicos deben explicarse causalmente recurriendo a leyes oriundas de la física y la química. En contra de esa perspectiva, la concepción experimental de la causación permite entender la naturaleza de muchas explicaciones biológicas que, sin hacer referencia a leyes causales - físicas, químicas o de cualquier otra naturaleza (...)
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  • El mosaico de Bernard – La explicación causal en biología funcional.Gustavo Caponi - 2014 - Veritas – Revista de Filosofia da Pucrs 59 (3):567-590.
    Según un punto de vista muy difundido, y alineado con la concepción nómica de la explicación causal, la biología funcional está sometida a un régimen de heteronomía explicativa en cuyo marco los fenómenos orgánicos deben explicarse recurriendo a leyes oriundas de la física y la química. En contra de esa perspectiva, la concepción experimental de la causación permite entender la naturaleza de muchas explicaciones biológicas que, sin hacer referencia a leyes causales – físicas, químicas o de cualquier otra naturaleza – (...)
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  • Counterfactuals and counterparts: defending a neo-Humean theory of causation.Neil McDonnell - 2015 - Dissertation, Macquarie University and University of Glasgow
    Whether there exist causal relations between guns firing and people dying, between pedals pressed and cars accelerating, or between carbon dioxide emissions and global warming, is typically taken to be a mind-independent, objective, matter of fact. However, recent contributions to the literature on causation, in particular theories of contrastive causation and causal modelling, have undermined this central causal platitude by relativising causal facts to models or to interests. This thesis flies against the prevailing wind by arguing that we must pay (...)
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