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  1. Fundamental issues in systems biology.Maureen A. O'Malley & John Dupré - 2005 - Bioessays 27 (12):1270-1276.
    In the context of scientists' reflections on genomics, we examine some fundamental issues in the emerging postgenomic discipline of systems biology. Systems biology is best understood as consisting of two streams. One, which we shall call ‘pragmatic systems biology’, emphasises large‐scale molecular interactions; the other, which we shall refer to as ‘systems‐theoretic biology’, emphasises system principles. Both are committed to mathematical modelling, and both lack a clear account of what biological systems are. We discuss the underlying issues in identifying systems (...)
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  • Self-Extending Symbiosis: A Mechanism for Increasing Robustness Through Evolution.Hiroaki Kitano & Kanae Oda - 2006 - Biological Theory 1 (1):61-66.
    Robustness is a fundamental property of biological systems, observed ubiquitously across species and at different levels of organization from gene regulation to ecosystem. The theory of biological robustness argues that robustness fosters evolv-ability and that together they entail various tradeoffs as well as characteristic architectures and mechanisms. We argue that classes of biological systems have evolved to enhance their robustness by extending their system boundary through a series of symbioses with foreign biological entities . A series of major biological innovations (...)
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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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  • Size doesn’t matter: towards a more inclusive philosophy of biology. [REVIEW]Maureen A. O’Malley & John Dupré - 2007 - Biology and Philosophy 22 (2):155-191.
    Philosophers of biology, along with everyone else, generally perceive life to fall into two broad categories, the microbes and macrobes, and then pay most of their attention to the latter. ‘Macrobe’ is the word we propose for larger life forms, and we use it as part of an argument for microbial equality. We suggest that taking more notice of microbes – the dominant life form on the planet, both now and throughout evolutionary history – will transform some of the philosophy (...)
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  • Top-down causation without top-down causes.Carl F. Craver & William Bechtel - 2007 - Biology and Philosophy 22 (4):547-563.
    We argue that intelligible appeals to interlevel causes (top-down and bottom-up) can be understood, without remainder, as appeals to mechanistically mediated effects. Mechanistically mediated effects are hybrids of causal and constitutive relations, where the causal relations are exclusively intralevel. The idea of causation would have to stretch to the breaking point to accommodate interlevel causes. The notion of a mechanistically mediated effect is preferable because it can do all of the required work without appealing to mysterious interlevel causes. When interlevel (...)
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  • Beyond reduction: mechanisms, multifield integration and the unity of neuroscience.Carl F. Craver - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):373-395.
    Philosophers of neuroscience have traditionally described interfield integration using reduction models. Such models describe formal inferential relations between theories at different levels. I argue against reduction and for a mechanistic model of interfield integration. According to the mechanistic model, different fields integrate their research by adding constraints on a multilevel description of a mechanism. Mechanistic integration may occur at a given level or in the effort to build a theory that oscillates among several levels. I develop this alternative model using (...)
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