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- Benoni B. Edin (2008). Assigning Biological Functions: Making Sense of Causal Chains. Synthese 161 (2):203 - 218.A meaningful distinction can be made between functions and mere effects in biological systems without resorting to teleological arguments: (i) biological systems must cope with a multitude of problems or they will cease to exist; (ii) the solutions to these problems invariably depend on circular causal chains (“feedback loops”); and (iii) biological functions are attributes of elements in biological systems that have an effect which, by contributing to the correcting behavior of a feedback control system, assists in solving a biological problem. The analysis is applied to several biological systems. The proposed solution is discussed primarily in its relation to two popular approaches to the concept of biological function, i.e., the “causal role accounts” and the “selected effect accounts”.
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The organizational account of biological functions interprets functions as contributions of a trait to the maintenance of the organization that, in turn, maintains the trait. As has been recently argued, however, the account seems unable to provide a unified grounding for both intra- and cross-generation functions, since the latter do not contribute to the maintenance of the same organization which produces them. To face this ‘ontological problem’, a splitting account has been proposed, according to which the two kinds of functions require distinct organizational definitions. In this article, we propose a solution for the ontological problem, by arguing that intra- and cross-generation functions can be said to contribute in the same way to the maintenance of the biological organization, characterized in terms of organizational self-maintenance. As a consequence, we suggest maintaining a unified organizational account of biological functions.
On a causal theory of rational behavior, behavior is just a causal consequence of the reasons an actor has. One of the difficulties with this theory has been the possibility of the "wayward causal chains," according to which reasons can cause the expected output, but in such an unusual way that the output is clearly not intentional. The inability to find a general way of excluding these wayward chains without implicitly appealing to elements incompatible with a pure causal account (like brute acts of will) has been a problem for the causal theory. This essay attempts to find a general solution to the problem. The solution rests on the premise that behavior-producing systems are goal-directed, and that on a purely causal analysis of goal-directedness it can be shown that the wayward chains' resulting in the goal is purely fortuitous because these chains do not subserve the function of the system.
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The biological sciences employ a concept of normality that must be distinguished from statistical or value concepts. The concept of normality is presupposed in the standard explications of biological functions, and it is crucial to the strategy of explanation by approximations in, for example, physiology. Nevertheless, this concept of normality does not seem to be captured in the language of physics. Thus attempts at explaining the methodological relationship between the biological sciences and the physical sciences by concentrating only on the concept of biological function cannot go very far. An analysis of the concept of normality is also necessary.
Ruth Millikan and others adopt a normative definition of biological functions that is heavily used in areas such as Millikan’s teleosemantics, and also for emerging efforts to naturalize other areas of philosophy. I propose an experiment called the Lapse Test to determine exactly what form of normativity, if any, truly applies to biological functions. Millikan has not gone far enough in playing down as “impersonal” or “quasi” the precise mode of normativity that she attributes to biological functions. Further, her mode fails to qualify as genuine normativity at all, lacking an essential feature: some lapse of responsibility on the part of any entity or system that is charged with failing to do as it is “supposed.” Nor, as we will see, is there anything in English idioms used to describe biological functions that can provide a persuasive argument to rehabilitate Millikan’s normative definition.
From the perspective of biological cybernetics, “real world” robots have no fundamental advantage over computer simulations when used as models for biological behavior. They can even weaken biological relevance. From an engineering point of view, however, robots can benefit from solutions found in biological systems. We emphasize the importance of this distinction and give examples for artificial systems based on insect biology.
Biological systems are typically hierarchically organized, open, nonlinear systems, and inherit all of the characteristics of such systems that are found in the purely physical and chemical domains, to which all biological systems belong. In addition, biological systems exhibit functional properties, and they contain information in a form that is used internally to make required functional distinctions. The existence of these additional biological properties is widely granted, but their exact nature is controversial. I will address first the issue of biological function, and then turn to the issue of information in biosystems.
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Both biological traits and artifacts have proper functions. But accounts of proper function are typically based on the biological case. So adapting these accounts to the artifact case requires finding cultural analogues of biological concepts. This can go wrong in two ways. The biological concepts may not pick out either biological or cultural proper functions correctly; or they may have no cultural analogues. I argue that things have gone wrong in the first way with regard to selection and in the second way with regard to fitness. Finally, I argue that the only way forward is to examine the phenomena of reproduction and use in material culture.
In this paper, we develop an organizational account that defines biological functions as causal relations subject to closure in living systems, interpreted as the most typical example of organizationally closed and differentiated self-maintaining systems. We argue that this account adequately grounds the teleological and normative dimensions of functions in the current organization of a system, insofar as it provides an explanation for the existence of the function bearer and, at the same time, identifies in a non-arbitrary way the norms that functions are supposed to obey. Accordingly, we suggest that the organizational account combines the etiological and dispositional perspectives in an integrated theoretical framework.
Looking for an adequate explication of the concept of a biological function, several authors have proposed to link function to design. Unfortunately, known explications of biological design in turn refer to functions. The concept of general design I will introduce here breaks up this circle. I specify design with respect to its ontogenetic role. This allows function to be based on design without making reference to the history of the design, or to the phylogeny of an organism, while retaining the normative aspect of function ascriptions. The concept is applicable to the function and design of technical artifacts as well. Several problems well known with other definitions can be overcome by this approach.
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