In this paper I discuss the relationship between model, theories, and laws in the practice of experimental scale modeling. The methodology of experimental scale modeling, also known as physical similarity, differs markedly from that of other kinds of models in ways that are important to issues in philosophy of science. Scale models are not discussed in much depth in mainstream philosophy of science. In this paper, I examine how scale models are used in making inferences. The main question I address (...) in this talk is ``How are fundamental laws involved in the construction of, and inferences drawn from, experimental scale models?'' We shall see that there is a refreshing alternative to the mainstream view that models can serve only as intermediaries between theory and experiment. Using the methodology of scale models, one can use observations on one piece of the world to make inferences about another piece of the world, without involving an intermediate abstract model about which one reasons. The philosophical significance of that point to philosophy of science is that the method of physical similarity, which provides the basis for inferences based upon scale models, is a qualitatively different way in which fundamental laws can be used in analogical reasoning that is truly informative. Finally, as this method provides a formal basis for case-based reasoning, it may be helpful in formalizing methods used in some of the so-called ``special sciences''. (shrink)

The examples and concepts that Shoemaker cites are rather heterogeneous. Some distinctions need to be drawn. An optimality thesis involves not just an ordering of options, but a value judgment about them. So let us begin by distinguishing minimality from optimality. And the concept of minimality can play a variety of roles, among which I distinguish between extremum descriptions, statements hypothesizing an optimizing process, and methodological recommendations. Finally, I consider how the three categories relate to Shoemaker’s question that “Who is (...) optimizing: the scientist or nature?” . (shrink)

This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility of (...) optimality considerations, including selective search for confirming vidence, ex post rationalization, and the confusion of prediction with explanation. Commentators are asked to reflect on the extent to which optimality is an organizing principle of nature, a set of relatively unconnected techniques of science, a normative principle for rational choice and social organization, a metaphysical way of looking at the world, or something else still. (shrink)

A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.

Almost all commentators acknowledge that among the grounds on which scientists perform theory-choices are criteria of simplicity. In general, simplicity is regarded either as only a logico-empirical quality of a theory, diagnostic of the theory's future predictive success, or as a purely aesthetic or otherwise extra-empirical property of it. This paper attempts to demonstrate that the simplicity-criteria applied in scientific practice include both a logico-empirical and a quasi-aesthetic criterion: to conflate these in an account of scientists' theory-choice is to court (...) confusion. (shrink)

In a recent series of publications, dynamicist researchers have proposed a new conception of cognitive functioning. This conception is intended to replace the currently dominant theories of connectionism and symbolicism. The dynamicist approach to cognitive modeling employs concepts developed in the mathematical field of dynamical systems theory. They claim that cognitive models should be embedded, low-dimensional, complex, described by coupled differential equations, and non-representational. In this paper I begin with a short description of the dynamicist project and its role as (...) a cognitive theory. Subsequently, I determine the theoretical commitments of dynamicists, critically examine those commitments and discuss current examples of dynamicist models. In conclusion, I determine dynamicism's relation to symbolicism and connectionism and find that the dynamicist goal to establish a new paradigm has yet to be realized. (shrink)

In many applications of physics, boundary conditions have an essential role. The purpose of this paper is to examine from both a historical and philosophical perspective one such boundary condition, namely, the no-slip condition of fluid dynamics. The historical perspective is based on the works of George Stokes and serves as the foundation for the philosophical perspective. It is seen that historically the acceptance of the no-slip condition was problematic. Philosophically, the no-slip condition is interesting since the use of the (...) no-slip condition illustrates nicely the use of scientific models. But more importantly, both the use and justification of the no-slip condition illustrate clearly how theories can holistically approach the world through model construction. Further, since much of the debate over scientific realism occurs in the realm of models, a case is made that an understanding of the role of the no-slip condition has something to offer to this debate. (shrink)

Les questions qui ont suscité le présent texte concernent la relation entre la théorie et le réel empirique: comment peut-on identifier le contenu empirique d'une théorie? Dans quelle mesure sa prétention à révéler le réel estelle justifiée? La première tâche que ces interrogations commandent est celle d'exposer les conceptions de la structure des théories scientifiques les plus marquantes de ce siècle. Dans cette période la philosophie des sciences a d'abord été dominée par l'empirisme logique et son approche formelle de la (...) structure des théories scientifiques. L'empirisme logique est certes un mouvement qui a eu une histoire mouvementée et qui a été le théâtre de nombreuses modifications, mais une de ses thèses les plus persistantes peut le caractériser de façon générale: sa représentation de la théorie sous la forme d'un système d'énoncés. Pour désigner cette position, nous utiliserons l'expression «conception assertive» comme traduction de statement view. L'approche sémantique est une conception plus récente de la structure de la théorie qui semble peu à peu vouloir prendre la place de la conception assertive. Nous décrirons donc dans un premier temps ces deux approches afin de déterminer chaque fois la fagon dont le rapport de la théorie au réel est envisagé. (shrink)

Advocates of linguistic pragmatics often appeal to a principle which Paul Grice called Modified Occam's Razor: 'Senses are not to be multiplied beyond necessity'. Superficially, Grice's principle seems a routine application of the principle of parsimony ('Entities are not to be multiplied beyond necessity'). But parsimony arguments, though common in science, are notoriously problematic, and their use by Griceans faces numerous objections. This paper argues that Modified Occam's Razor makes considerably more sense in light of certain assumptions about the processes (...) involved in language acquisition, and it describes recent empirical findings that bear these assumptions out. The resulting account solves several difficulties that otherwise confront Grice's principle, and it draws attention to problematic assumptions involved in using parsimony to argue for pragmatic accounts of linguistic phenomena. (shrink)

Advocates of linguistic pragmatics often appeal to a principle which Paul Grice called Modified Occam's Razor: ‘Senses are not to be multiplied beyond necessity’. Superficially, Grice's principle seems a routine application of the principle of parsimony (‘Entities are not to be multiplied beyond necessity’). But parsimony arguments, though common in science, are notoriously problematic, and their use by Griceans faces numerous objections. This paper argues that Modified Occam's Razor makes considerably more sense in light of certain assumptions about the processes (...) involved in language acquisition, and it describes recent empirical findings that bear these assumptions out. The resulting account solves several difficulties that otherwise confront Grice's principle, and it draws attention to problematic assumptions involved in using parsimony to argue for pragmatic accounts of linguistic phenomena. (shrink)

I review and challenge the views on simplicity and its role in linguistics put forward by Ludlow. In particular, I criticize the claim that simplicity—in the sense pertinent to science—is nothing more than ease of use or “user-friendliness”, motivated by economy of labor. I argue that Ludlow’s discussion fails to do justice to the diversity of factors that are relevant to simplicity considerations. This, in turn, leads to the neglect of crucial cases in which the rationale for simplification is unmistakably (...) epistemic, as well as instances where simplicity is part of the content of substantive, empirical hypotheses. I illustrate these points with examples from the history of generative linguistics, such as: the shaping influence exerted by simplicity, via its involvement in the notion of “linguistically significant generalization”, its methodological and substantive contribution to the goal of explanatory adequacy, and its central role in the Minimalist Program’s search “beyond explanatory adequacy”. (shrink)