Search results for 'mechanisms' (try it on Scholar)

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  1. Mark B. Couch (2011). Mechanisms and Constitutive Relevance. Synthese 183 (3):375-388.score: 24.0
    This paper will examine the nature of mechanisms and the distinction between the relevant and irrelevant parts involved in a mechanism’s operation. I first consider Craver’s account of this distinction in his book on the nature of mechanisms, and explain some problems. I then offer a novel account of the distinction that appeals to some resources from Mackie’s theory of causation. I end by explaining how this account enables us to better understand what mechanisms are and their (...)
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  2. Holly Andersen (2014). A Field Guide to Mechanisms: Part I. Philosophy Compass 9 (4):274-283.score: 24.0
    In this field guide, I distinguish five separate senses with which the term ‘mechanism’ is used in contemporary philosophy of science. Many of these senses have overlapping areas of application but involve distinct philosophical claims and characterize the target mechanisms in relevantly different ways. This field guide will clarify the key features of each sense and introduce some main debates, distinguishing those that transpire within a given sense from those that are best understood as concerning distinct senses. The ‘new (...)
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  3. William Bechtel & Adele A. Abrahamsen (2013). Thinking Dynamically About Biological Mechanisms: Networks of Coupled Oscillators. [REVIEW] Foundations of Science 18 (4):707-723.score: 24.0
    Explaining the complex dynamics exhibited in many biological mechanisms requires extending the recent philosophical treatment of mechanisms that emphasizes sequences of operations. To understand how nonsequentially organized mechanisms will behave, scientists often advance what we call dynamic mechanistic explanations. These begin with a decomposition of the mechanism into component parts and operations, using a variety of laboratory-based strategies. Crucially, the mechanism is then recomposed by means of computational models in which variables or terms in differential equations correspond (...)
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  4. Wayne Wu & Raymond Cho (2013). Mechanisms of Auditory Verbal Hallucination in Schizophrenia. Frontiers in Schizophrenia 4.score: 24.0
    Recent work on the mechanisms underlying auditory verbal hallucination (AVH) has been heavily informed by self-monitoring accounts that postulate defects in an internal monitoring mechanism as the basis of AVH. A more neglected alternative is an account focusing on defects in auditory processing, namely a spontaneous activation account of auditory activity underlying AVH. Science is often aided by putting theories in competition. Accordingly, a discussion that systematically contrasts the two models of AVH can generate sharper questions that will lead (...)
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  5. Zenonas Norkus (2007). Troubles with Mechanisms: Problems of the 'Mechanistic Turn' in Historical Sociology and Social History. Journal of the Philosophy of History 1 (2):160-200.score: 24.0
    This paper discusses the prospect of the "new social history" guided by the recent work of Charles Tilly on the methodology of social and historical explanation. Tilly advocates explanation by mechanisms as the alternative to the covering law explanation. Tilly's proposals are considered to be the attempt to reshape the practices of social and historical explanation following the example set by the explanatory practices of molecular biology, neurobiology, and other recent "success stories" in the life sciences. Recent work in (...)
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  6. Holly Andersen (2014). A Field Guide to Mechanisms: Part II. Philosophy Compass 9 (4):284-293.score: 24.0
    In this field guide, I distinguish five separate senses with which the term ‘mechanism’ is used in contemporary philosophy of science. Many of these senses have overlapping areas of application but involve distinct philosophical claims and characterize the target mechanisms in relevantly different ways. This field guide will clarify the key features of each sense and introduce some main debates, distinguishing those that transpire within a given sense from those that are best understood as concerning two distinct senses. The (...)
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  7. Holly Andersen (2012). Mechanisms: What Are They Evidence for in Evidence-Based Medicine. Journal of Evaluation in Clinical Practice 18 (5):992-999.score: 24.0
    Even though the evidence‐based medicine movement (EBM) labels mechanisms a low quality form of evidence, consideration of the mechanisms on which medicine relies, and the distinct roles that mechanisms might play in clinical practice, offers a number of insights into EBM itself. In this paper, I examine the connections between EBM and mechanisms from several angles. I diagnose what went wrong in two examples where mechanistic reasoning failed to generate accurate predictions for how a dysfunctional mechanism (...)
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  8. Maarten Boudry & Johan Braeckman (2011). Immunizing Strategies and Epistemic Defense Mechanisms. Philosophia 39 (1):145-161.score: 24.0
    An immunizing strategy is an argument brought forward in support of a belief system, though independent from that belief system, which makes it more or less invulnerable to rational argumentation and/or empirical evidence. By contrast, an epistemic defense mechanism is defined as a structural feature of a belief system which has the same effect of deflecting arguments and evidence. We discuss the remarkable recurrence of certain patterns of immunizing strategies and defense mechanisms in pseudoscience and other belief systems. Five (...)
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  9. Johannes Persson (2005). Tropes as Mechanisms. Foundations of Science 10 (4):371-393.score: 24.0
    This paper is an attempt to further our understanding of mechanisms conceived of as ontologically separable from laws. What opportunities are there for a mechanistic perspective to be independent of, or even more fundamental than, a law perspective? Advocates of the mechanistic view often play with the possibility of internal and external reliability, or with the paralleling possibilities of enforcing, counteracting, redirecting, etc., the mechanisms’ power to produce To further this discussion I adopt a trope ontology. It is (...)
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  10. Brendan Clarke, Bert Leuridan & Jon Williamson (2013). Modelling Mechanisms with Causal Cycles. Synthese:1-31.score: 24.0
    Mechanistic philosophy of science views a large part of scientific activity as engaged in modelling mechanisms. While science textbooks tend to offer qualitative models of mechanisms, there is increasing demand for models from which one can draw quantitative predictions and explanations. Casini et al. (Theoria 26(1):5–33, 2011) put forward the Recursive Bayesian Networks (RBN) formalism as well suited to this end. The RBN formalism is an extension of the standard Bayesian net formalism, an extension that allows for modelling (...)
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  11. Ward B. Watt (2013). Causal Mechanisms of Evolution and the Capacity for Niche Construction. Biology and Philosophy 28 (5):757-766.score: 24.0
    Ernst Mayr proposed a distinction between “proximate”, mechanistic, and “ultimate”, evolutionary, causes of biological phenomena. This dichotomy has influenced the thinking of many biologists, but it is increasingly perceived as impeding modern studies of evolutionary processes, including study of “niche construction” in which organisms alter their environments in ways supportive of their evolutionary success. Some still find value for this dichotomy in its separation of answers to “how?” versus “why?”questions about evolution. But “why is A?” questions about evolution necessarily take (...)
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  12. Federica Russo & Jon Williamson (2012). EnviroGenomarkers: The Interplay Between Mechanisms and Difference Making in Establishing Causal Claims. Medicine Studies 3 (4):249-262.score: 24.0
    According to Russo and Williamson :157–170, 2007, Hist Philos Life Sci 33:389–396, 2011a, Philos Sci 1:47–69, 2011b), in order to establish a causal claim of the form, ‘C is a cause of E’, one typically needs evidence that there is an underlying mechanism between C and E as well as evidence that C makes a difference to E. This thesis has been used to argue that hierarchies of evidence, as championed by evidence-based movements, tend to give primacy to evidence of (...)
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  13. Theodore T. Y. Chen (2001). Ethics Control Mechanisms: A Comparative Observation of Hong Kong Companies. [REVIEW] Journal of Business Ethics 30 (4):391 - 400.score: 24.0
    Managers with different cultural backgrounds and under different circumstances have different views on what is acceptable ethical behaviour. This study attempts to determine whether major companies in Hong Kong share the same views as North American academics on what management ethical standards ought to be, and if so, whether any control mechanisms have been established to instill ethical behaviour within their organizations. Notable differences between the practice in these companies and those from a similar survey conducted in North America (...)
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  14. Alexander Gebharter (2014). A Formal Framework for Representing Mechanisms? Philosophy of Science 81 (1):138-153.score: 24.0
    In this article I tackle the question of how the hierarchical order of mechanisms can be represented within a causal graph framework. I illustrate an answer to this question proposed by Casini, Illari, Russo, and Williamson and provide an example that their formalism does not support two important features of nested mechanisms: (i) a mechanism’s submechanisms are typically causally interacting with other parts of said mechanism, and (ii) intervening in some of a mechanism’s parts should have some influence (...)
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  15. Joachim Keppler (2013). A New Perspective on the Functioning of the Brain and the Mechanisms Behind Conscious Processes. Frontiers in Psychology, Theoretical and Philosophical Psychology 4 (Article 242):1-6.score: 24.0
    An essential prerequisite for the development of a theory of consciousness is the clarification of the fundamental mechanisms underlying conscious processes. In this article I present an approach that sheds new light on these mechanisms. This approach builds on stochastic electrodynamics (SED), a promising theoretical framework that provides a deeper understanding of quantum systems and reveals the origin of quantum phenomena. I outline the most important concepts and findings of SED and interpret the neurophysiological body of evidence in (...)
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  16. Alexander Gebharter, Addendum to "A Formal Framework for Representing Mechanisms?&Quot;.score: 24.0
    In (Gebharter 2014) I suggested a framework for modeling the hierarchical organization of mechanisms. In this short addendum I want to highlight some connections of my approach to the statistics and machine learning literature and some of its limitations not mentioned in the paper.
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  17. Michael Domjan, Brian Cusato & Ronald Villarreal (2000). Pavlovian Feed-Forward Mechanisms in the Control of Social Behavior. Behavioral and Brain Sciences 23 (2):235-249.score: 24.0
    The conceptual and investigative tools for the analysis of social behavior can be expanded by integrating biological theory, control systems theory, and Pavlovian conditioning. Biological theory has focused on the costs and benefits of social behavior from ecological and evolutionary perspectives. In contrast, control systems theory is concerned with how machines achieve a particular goal or purpose. The accurate operation of a system often requires feed-forward mechanisms that adjust system performance in anticipation of future inputs. Pavlovian conditioning is ideally (...)
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  18. Marcel Weber, On the Incompatibility of Biological Dynamical Mechanisms and Causal Graph Theory.score: 24.0
    I examine the adequacy of the causal graph-structural equations approach to causation for modeling biological mechanisms. I focus in particular on mechanisms with complex dynamics such as the PER biological clock mechanism in Drosophila. I show that a quantitative model of this mechanism that uses coupled differential equations – the well-known Goldbeter model – cannot be adequately represented in the standard (interventionist) causal graph framework, even though this framework does permit causal cycles. The reason is that the model (...)
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  19. Giovanni Boniolo (2013). On Molecular Mechanisms and Contexts of Physical Explanation. Biological Theory 7 (3):256-265.score: 24.0
    In this article, two issues regarding mechanisms are discussed. The first concerns the relationships between “mechanism description” and “mechanism explanation.” It is proposed that it is rather plausible to think of them as two distinct epistemic acts. The second deals with the different molecular biology explanatory contexts, and it is shown that some of them require physics and its laws.
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  20. Cristina Gimenez & Vicenta Sierra (2013). Sustainable Supply Chains: Governance Mechanisms to Greening Suppliers. [REVIEW] Journal of Business Ethics 116 (1):189-203.score: 24.0
    One of the key challenges for firms is to manage sustainability along the supply chain. To extend sustainability to suppliers, organizations have developed different governance mechanisms. The aim of this paper is to analyze the effectiveness of two different mechanisms (i.e., supplier assessment and collaboration with suppliers) to improve one dimension of sustainability: environmental performance. Structural Equation Modeling and cluster analysis were used to analyze the relationships between supplier assessment, collaboration with suppliers, and environmental performance. The results suggest (...)
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  21. Amit Saini & Mike Krush (2008). Anomie and the Marketing Function: The Role of Control Mechanisms. [REVIEW] Journal of Business Ethics 83 (4):845 - 863.score: 24.0
    The authors use the theoretical notion of anomie to examine the impact of top management’s control mechanisms on the environment of the marketing function. Based on a literature review and in-depth field interviews with marketing managers in diverse industries, a conceptual model is proposed that incorporates the two managerial control mechanisms, viz. output and process control, and relates their distinctive influence to anomie in the marketing function. Three contingency variables, i.e., resource scarcity, power, and ethics codification, are proposed (...)
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  22. Andrea A. diSessa (2014). The Construction of Causal Schemes: Learning Mechanisms at the Knowledge Level. Cognitive Science 38 (5):795-850.score: 24.0
    This work uses microgenetic study of classroom learning to illuminate (1) the role of pre-instructional student knowledge in the construction of normative scientific knowledge, and (2) the learning mechanisms that drive change. Three enactments of an instructional sequence designed to lead to a scientific understanding of thermal equilibration are used as data sources. Only data from a scaffolded student inquiry preceding introduction of a normative model were used. Hence, the study involves nearly autonomous student learning. In two classes, students (...)
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  23. Matthew W. Crocker Afra Alishahi, Afsaneh Fazly, Judith Koehne (2012). Sentence-Based Attentional Mechanisms in Word Learning: Evidence From a Computational Model. Frontiers in Psychology 3.score: 24.0
    When looking for the referents of nouns, adults and young children are sensitive to cross- situational statistics (Yu & Smith, 2007; Smith & Yu, 2008). In addition, the linguistic context that a word appears in has been shown to act as a powerful attention mechanism for guiding sentence processing and word learning (Landau & Gleitman, 1985; Altmann & Kamide, 1999; Kako & Trueswell, 2000). Koehne & Crocker (2010, 2011) investigate the interaction between cross-situational evidence and guidance from the sentential context (...)
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  24. Raffaella Campaner (2011). Understanding Mechanisms in the Health Sciences. Theoretical Medicine and Bioethics 32 (1):5-17.score: 24.0
    This article focuses on the assessment of mechanistic relations with specific attention to medicine, where mechanistic models are widely employed. I first survey recent contributions in the philosophical literature on mechanistic causation, and then take issue with Federica Russo and Jon Williamson’s thesis that two types of evidence, probabilistic and mechanistic, are at stake in the health sciences. I argue instead that a distinction should be drawn between previously acquired knowledge of mechanisms and yet-to-be-discovered knowledge of mechanisms and (...)
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  25. [deleted]Ricardo A. Cruciani Helena Knotkova, Michael A. Nitsche (2013). Putative Physiological Mechanisms Underlying tDCS Analgesic Effects. Frontiers in Human Neuroscience 7.score: 24.0
    Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique that induces changes in excitability, and activation of brain neurons and neuronal circuits. It has been observed that beyond regional effects under the electrodes, tDCS also alters activity of remote interconnected cortical and subcortical areas. This makes the tDCS stimulation technique potentially promising for modulation of pain syndromes. Indeed, utilizing specific montages, tDCS resulted in analgesic effects in experimental settings, as well as in post-operative acute pain and chronic pain syndromes. (...)
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  26. Philipp Schmidinger (2010). Visiting Mechanisms to Eradicate Torture: A Foucaultian Analysis. [REVIEW] Human Rights Review 11 (3):317-355.score: 24.0
    In this Article, I examine the Visiting Mechanisms under the Convention against Torture (CAT) and the Optional Protocol thereto (OPCAT), applying an analytic approach resting on Foucault’s Discipline and Punish. I argue that international Visiting Mechanisms essentially constitute disciplinary apparatuses as depicted by Foucault. However, because they fail to recognise this functional similarity, they do not effectively apply the methods of inducing panoptic power. Most notably the concept of ‘hierarchical observation’ is hardly utilised at all. The two introduced (...)
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  27. Afra Alishahi, Afsaneh Fazly, Judith Koehne & Matthew W. Crocker (2012). Sentence-Based Attentional Mechanisms in Word Learning: Evidence From a Computational Model. Frontiers in Psychology 3.score: 24.0
    When looking for the referents of nouns, adults and young children are sensitive to cross- situational statistics (Yu & Smith, 2007; Smith & Yu, 2008). In addition, the linguistic context that a word appears in has been shown to act as a powerful attention mechanism for guiding sentence processing and word learning (Landau & Gleitman, 1985; Altmann & Kamide, 1999; Kako & Trueswell, 2000). Koehne & Crocker (2010, 2011) investigate the interaction between cross-situational evidence and guidance from the sentential context (...)
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  28. [deleted]Luigi Cattaneo Arthur M. Glenberg, Gabriel Lopez-Mobilia, Michael McBeath, Michael Toma, Marc Sato (2010). Knowing Beans: Human Mirror Mechanisms Revealed Through Motor Adaptation. Frontiers in Human Neuroscience 4.score: 24.0
    Human mirror mechanisms (MMs) respond during both performed and observed action and appear to underlie action goal recognition. We introduce a behavioral procedure for discovering and clarifying functional MM properties: Blindfolded participants repeatedly move beans either toward or away from themselves to induce motor adaptation. Then, the bias for perceiving direction of ambiguous visual movement in depth is measured. Bias is affected by a) number of beans moved, b) movement direction, and c) similarity of the visual stimulus to the (...)
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  29. John Matthewson & Brett Calcott, Mechanistic Explanation Without Mechanisms.score: 22.0
    We provide an account of mechanistic representation and explanation that has several advantages over previous proposals. In our view, explaining mechanistically is not simply giving an explanation of a mechanism. Rather, an explanation is mechanistic because of particular relations that hold between a mechanical representation, or model, and the target of explanation. Under this interpretation, mechanistic explanation is possible even when the explanatory target is not a mechanism. We argue that taking this view is not only coherent and plausible, it (...)
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  30. Daniel A. Weiskopf (2011). Models and Mechanisms in Psychological Explanation. Synthese 183 (3):313-338.score: 21.0
    Mechanistic explanation has an impressive track record of advancing our understanding of complex, hierarchically organized physical systems, particularly biological and neural systems. But not every complex system can be understood mechanistically. Psychological capacities are often understood by providing cognitive models of the systems that underlie them. I argue that these models, while superficially similar to mechanistic models, in fact have a substantially more complex relation to the real underlying system. They are typically constructed using a range of techniques for abstracting (...)
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  31. L. R. Franklin-Hall, The Emperor's New Mechanisms.score: 21.0
    This paper argues that the increasingly dominant new mechanistic approach to scientific explanation, as developed to date, does not shed new light on explanatory practice. First, I systematize the explanatory account, one according to which explanations are mechanistic models that satisfy three desiderata: 1) they must represent causal relations, 2) describe the proper parts, and 3) depict the system at the right ‘level.’ Then I argue that even the most promising attempts to flesh out these constraints have fallen far short. (...)
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  32. Sasan Haghighi, In Search of Mechanisms in Neuroscience.score: 21.0
  33. Julian Reiss, Miriam Solomon & David Teira (2011). Mechanisms, Continental Approaches, Trials, and Evolutionary Medicine: New Work in the Philosophy of Medicine. Theoretical Medicine and Bioethics 32 (1):1-4.score: 21.0
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  34. Robyn Bluhm (2013). Physiological Mechanisms and Epidemiological Research. Journal of Evaluation in Clinical Practice 19 (3):422 - 426.score: 21.0
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  35. Jörg-Peter Ewert (1987). Neuroethology of Releasing Mechanisms: Prey-Catching in Toads. Behavioral and Brain Sciences 10 (3):337.score: 21.0
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  36. Frédérique Théry (2011). Characterizing Animal Development with Genetic Regulatory Mechanisms. Biological Theory 6 (1):16-24.score: 21.0
  37. N. Jack Kanak & M. Faith Dean (1969). Transfer Mechanisms in Verbal Discrimination. Journal of Experimental Psychology 79 (2p1):300.score: 21.0
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  38. N. Jack Kanak & John M. Knight (1974). The Re-Pairing Decrement in Verbal Discrimination Transfer: Further Evidence Favoring Associative Mechanisms. Journal of Experimental Psychology 103 (2):304.score: 21.0
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  39. K. U. Smith & M. Bridgman (1943). The Neural Mechanisms of Movement Vision and Optic Nystagmus. Journal of Experimental Psychology 33 (3):165.score: 21.0
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  40. W. N. Kellogg (1941). Experimental Data on Different Neural Mechanisms for Learned and Unlearned Responses. Journal of Experimental Psychology 29 (4):334.score: 21.0
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  41. F. L. Wells (1924). Vocal and Manual Mechanisms in Choice Reactions. Journal of Experimental Psychology 7 (1):59.score: 21.0
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  42. Cory D. Wright & William P. Bechtel (2007). Mechanisms and Psychological Explanation. In Paul Thagard (ed.), Philosophy of Psychology and Cognitive Science. Elsevier.score: 18.0
    As much as assumptions about mechanisms and mechanistic explanation have deeply affected psychology, they have received disproportionately little analysis in philosophy. After a historical survey of the influences of mechanistic approaches to explanation of psychological phenomena, we specify the nature of mechanisms and mechanistic explanation. Contrary to some treatments of mechanistic explanation, we maintain that explanation is an epistemic activity that involves representing and reasoning about mechanisms. We discuss the manner in which mechanistic approaches serve to bridge (...)
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  43. Peter K. Machamer, Lindley Darden & Carl F. Craver (2000). Thinking About Mechanisms. Philosophy of Science 67 (1):1-25.score: 18.0
    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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  44. Bert Leuridan (2010). Can Mechanisms Really Replace Laws of Nature? Philosophy of Science 77 (3):317-340.score: 18.0
    Today, mechanisms and mechanistic explanation are very popular in philosophy of science and are deemed a welcome alternative to laws of nature and deductive‐nomological explanation. Starting from Mitchell's pragmatic notion of laws, I cast doubt on their status as a genuine alternative. I argue that (1) all complex‐systems mechanisms ontologically must rely on stable regularities, while (2) the reverse need not hold. Analogously, (3) models of mechanisms must incorporate pragmatic laws, while (4) such laws themselves need not (...)
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  45. Alex Broadbent (2011). Inferring Causation in Epidemiology: Mechanisms, Black Boxes, and Contrasts. In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press. 45--69.score: 18.0
    This chapter explores the idea that causal inference is warranted if and only if the mechanism underlying the inferred causal association is identified. This mechanistic stance is discernible in the epidemiological literature, and in the strategies adopted by epidemiologists seeking to establish causal hypotheses. But the exact opposite methodology is also discernible, the black box stance, which asserts that epidemiologists can and should make causal inferences on the basis of their evidence, without worrying about the mechanisms that might underlie (...)
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  46. William P. Bechtel, Mental Mechanisms: Philosophical Perspectives on the Sciences of Cognition and the Brain.score: 18.0
    1. The Naturalistic Turn in Philosophy of Science 2. The Framework of Mechanistic Explanation: Parts, Operations, and Organization 3. Representing and Reasoning About Mechanisms 4. Mental Mechanisms: Mechanisms that Process Information 5. Discovering Mental Mechanisms 6 . Summary.
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  47. Patrik N. Juslin & Daniel Västfjäll (2008). Emotional Responses to Music: The Need to Consider Underlying Mechanisms. Behavioral and Brain Sciences 31 (5):559-575.score: 18.0
    Research indicates that people value music primarily because of the emotions it evokes. Yet, the notion of musical emotions remains controversial, and researchers have so far been unable to offer a satisfactory account of such emotions. We argue that the study of musical emotions has suffered from a neglect of underlying mechanisms. Specifically, researchers have studied musical emotions without regard to how they were evoked, or have assumed that the emotions must be based on the mechanism for emotion induction, (...)
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  48. Max Kistler (2010). Mechanisms and Downward Causation. Philosophical Psychology 22 (5):595-609.score: 18.0
    Experimental investigation of mechanisms seems to make use of causal relations that cut across levels of composition. In bottom-up experiments, one intervenes on parts of a mechanism to observe the whole; in top-down experiments, one intervenes on the whole mechanism to observe certain parts of it. It is controversial whether such experiments really make use of interlevel causation, and indeed whether the idea of causation across levels is even conceptually coherent. Craver and Bechtel have suggested that interlevel causal claims (...)
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  49. William D. Casebeer & Patricia S. Churchland (2003). The Neural Mechanisms of Moral Cognition: A Multiple-Aspect Approach to Moral Judgment and Decision-Making. [REVIEW] Biology and Philosophy 18 (1):169-194.score: 18.0
    We critically review themushrooming literature addressing the neuralmechanisms of moral cognition (NMMC), reachingthe following broad conclusions: (1) researchmainly focuses on three inter-relatedcategories: the moral emotions, moral socialcognition, and abstract moral reasoning. (2)Research varies in terms of whether it deploysecologically valid or experimentallysimplified conceptions of moral cognition. Themore ecologically valid the experimentalregime, the broader the brain areas involved.(3) Much of the research depends on simplifyingassumptions about the domain of moral reasoningthat are motivated by the need to makeexperimental progress. This is a (...)
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  50. Mario Bunge (2004). How Does It Work?: The Search for Explanatory Mechanisms. Philosophy of the Social Sciences 34 (2):182-210.score: 18.0
    This article addresses the following problems: What is a mechanism, how can it be discovered, and what is the role of the knowledge of mechanisms in scientific explanation and technological control? The proposed answers are these. A mechanism is one of the processes in a concrete system that makes it what it is — for example, metabolism in cells, interneuronal connections in brains, work in factories and offices, research in laboratories, and litigation in courts of law. Because mechanisms (...)
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