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In biology --and in science in general-- a mechanism is a complex object (system) or, more generally, a process that produces a regular phenomenon. For example, natural selection is one of the mechanisms of biological evolution, other being genetic drift, biased mutation, and gene flow; competition, predation, host-parasite interactions, etc. are mechanisms of community structuring; and membrane depolarization is the mechanism of transmission of neural signals.
Accordingly, descriptions of mechanisms are a part of an answer to a question about why some object or process occurred. In other words, descriptions of mechanisms occur in explanations of biological facts. Thus, mechanism refers back from the object or process, along some chain of causation. No description of mechanism is ever complete. For example, the mechanism of sunlight might include the rotation of the earth, the Earth's orbit, the sun, nuclear reactions, heat, temperature, radiation emission, electromagnetic theory about the propagation of light, formation of the solar system, etc. Compare this to the function of the object or process, which looks forward along some chain of causation to a goal or evolutionary success.[1]
Many characterizations/definitions of mechanisms in the philosophy of science/biology have been provided in the past decades. For example, one influential characterization of neuro- and molecular biological mechanisms is: mechanisms are entities and activities organized such that they are productive of regular changes from start to termination conditions (Peter Machamer, Lindley Darden, & Carl Craver 2000; 'MDC' hereafter). Other characterizations have been proposed by Stuart Glennan (1996, 2002), who articulates an interactionist account of mechanisms, and William Bechtel (1993, 2006), who emphasizes parts and operations (cf. MDC).
Mechanisms in science/biology have reappeared as a subject of philosophical analysis and discussion in the last several decades due to a variety of factors, many of which relate to metascientific issues such as explanation and causation. For example, the decline of Covering Law (CL) models of explanation, e.g., Hempel's deductive-nomological model, has stimulated interest how mechanisms might play an explanatory role in certain domains of science, especially higher-level disciplines such as biology (i.e., neurobiology, molecular biology, neuroscience, and so on). This is not just because of the philosophical problem of giving some account of what "laws of nature," which CL models encounter, but also the incontrovertible fact that most biological phenomena are not characterizable in nomological terms (i.e., in terms of lawful relationships). For example, protein biosynthesis does not occur according to any law, and therefore, on the DN model, no explanation for the biosynthesis phenomenon could be given.
Mechanistic explanations come in many forms. Wesley Salmon proposes an ontic view of what he calls "causal-mechanical" explanation, namely that explanations are in the world. There are two kinds of ontic explanation: etiological and constitutive. While Salmon focuses primarily on etiological explanation, with respect to which one explains some phenomenon P by identifying its causes (and, thus, locating it within the causal structure of the world). Constitutive (or componential) explanation, on the other hand, involves describing the components of a mechanism M that is productive of (or causes) P. Indeed, whereas (a) Noam Chomsky differentiates between descriptive and explanatory adequacy, where the former is defined as the adequacy of a theory to account for at least all the items in the domain (which need explaining), and the latter as the adequacy of a theory to account for no more than those domain items, and (b) past philosophies of science differentiate between descriptions of phenomena and explanations of those phenomena, in the metascientific context of mechanisms, descriptions and explanations seem to be identical. This is to say, to explain a mechanism M just is to describe it (specify its components, as well as background, enabling, and so on, conditions that constitute, in the case of a linear mechanism, its "start conditions").
The MDC characterization is: mechanisms are entities and activities organized such that they are productive of changes from start conditions to termination conditions. There are three distinguishable aspects of this characterization:
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