"Semantic dispositionalism" is the theory that a speaker's meaning something by a given linguistic symbol is determined by her dispositions to use the symbol in a certain way. According to an objection by Kripke, further elaborated in Kusch :156–163, 2005), semantic dispositionalism involves ceteris paribus-clauses and idealisations, such as unbounded memory, that deviate from standard scientific methodology. I argue that Kusch misrepresents both ceteris paribus-laws and idealisation, neither of which factually "approximate" the behaviour of agents or the course of events, (...) but, rather, identify and isolate nature's component parts and processes. An analysis of current results in cognitive psychology vindicates the idealisations involved and certain counterfactual assumptions in science generally. In particular, results suggest that there can be causal continuity between the dispositional structure of actual objects and that of highly idealised objects. I conclude by suggesting that we can assimilate ceteris paribus-laws with disposition ascriptions insofar as they involve identical idealising assumptions. (shrink)

Bas C. van Fraassen presents an original exploration of how we represent the world.

The present book is devoted to the question of what the goal of physics is. The essential result of this is the rejection of traditional proposals for such a goal in favour of a new proposal. In both the rejection of the older proposal for a goal and the endorsement of the new one, I rely on a common practice in physics - the practice of idealisation. Traditional proposals for goals must be abandoned if they cannot explain this practice; my (...) own proposal is supported by the fact that it can be shown to explain the practice of idealisation. There is a close connection between the goal of physics and some positions in the philosophy of science. van Fraassen has drawn attention to this in his The Scientific Image. If such a connection between the question of the goal and various positions in the philosophy of science exists, the result of the investigation into the goal of physics can be used to discuss positions such as empiricism, constructivism and scientific realism. This programme will be carried out in the following steps. Chapter 1 will first clarify in what sense physics can be said to have a goal. Criteria will be worked out, which an adequate explication of the goal of physics should satisfy. It will be shown that candidates for the goal of physics should be able to explain why typical actions essential to physics are carried out in the way that characterises them: They must be recognisable as means to a proposed end. In addition, various proposals for the goal of physics will be presented, and the relationship of these proposals to the philosophy of science positions of empiricism, constructivism and scientific realism will be examined. In Chapter 2, for selected, constitutive modes of action in physics - namely for idealisations – it will be investigated to what extent they can be explained by the proposed target candidates. It will be shown, firstly, that the traditional formulations of the goal of physics with respect to a particular class of of idealisations have only limited explanatory value, and secondly, that the goal of a unified description of physical systems description of physical systems makes this practice understandable. In Chapter 3 it will be shown that a second class of idealising measures - especially abstractions, but also certain experimental procedures - also cannot be made comprehensible by traditional goal ascriptions. Moreover, they cannot be integrated into a picture of theory construction which presupposes the classical, empiricist concept of the law of nature as the as the basis for an understanding of physics. I will argue that it makes sense to define natural laws as the ascription of as the attribution of dispositions to physical systems, i. e. systems, i.e. as statements about the way in which physical systems systems behave under very specific circumstances, namely when they are isolated. Such a conception allows us to present a candidate target that is able to explain all of the idealisation measures under investigation. Thus, it satisfies the condition that a candidate for the goal of physics must fulfil. The goal of physics, it will be asserted, is, is to give a unified description of the dispositions of physical systems. Now, since the traditional proposed goals, which turn out to be inadequate, are closely related to scientific realism, empiricism and constructivism, a re-evaluation of these positions becomes necessary. This will be done in chapter 4. be done. (shrink)

We call for a new philosophical conception of models in physics. Some standard conceptions take models to be useful approximations to theorems, that are the chief means to test theories. Hence the heuristics of model building is dictated by the requirements and practice of theory-testing. In this paper we argue that a theory-driven view of models can not account for common procedures used by scientists to model phenomena. We illustrate this thesis with a case study: the construction of one of (...) the first comprehensive model of superconductivity by London brothers in 1934. Instead of theory-driven view of models, we suggest a phenomenologically-driven one. (shrink)

Philosophers of science increasingly recognize the importance of idealization: the intentional introduction of distortion into scientific theories. Yet this recognition has not yielded consensus about the nature of idealization. e literature of the past thirty years contains disparate characterizations and justifications, but little evidence of convergence towards a common position.

In a recent revision (chapter 4 of Nowakowa and Nowak 2000) of an older article Leszek Nowak (1992) has attempted to rebut Niiniluoto’s 1990 critical suggestion that proponents of the Poznań idealizational approach to the sciences have committed a rather elementary logical error in the formal machinery that they advocate for use in the analysis of scientific methodology. In this paper I criticize Nowak’s responses to Niiniluoto’s suggestion, and, subsequently, work out some of the consequences of that criticism for understanding (...) the role that idealization plays in scientific methodology. (shrink)

Skeptics have cast doubt on the idea that scientific theories give us a true picture of an objective world. Lawrence Sklar examines three kinds of skeptical arguments about scientific truth, and explores the important role they play within foundational science itself. Sklar demonstrates that these kinds of philosophical critique are employed within science, and reveals the clear difference between how they operate in a scientific context and more abstract philosophical contexts. The underlying theme of Theory and Truth is that science (...) and philosophy are essential to one another. Sklar advances the claim that one cannot understand the methods of science without a comprehension of philosophy, and one cannot fruitfully pursue philosophy of science without understanding fundamental science as well. (shrink)

This book comes to the rescue of scientific realism, showing that reports of its death have been greatly exaggerated. Philosophical realism holds that the aim of a particular discourse is to make true statements about its subject matter. Ilkka Niiniluoto surveys different kinds of realism in various areas of philosophy and then sets out his own critical realist philosophy of science.

Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities to the (...) explanation of the role of causality in quantum mechanics. (shrink)

This paper explores how data serve as evidence for phenomena. In contrast to standard philosophical models which invite us to think of evidential relationships as logical relationships, I argue that evidential relationships in the context of data-to-phenomena reasoning are empirical relationships that depend on holding the right sort of pattern of counterfactual dependence between the data and the conclusions investigators reach on the phenomena themselves.

This paper utilizes Scott domains (continuous lattices) to provide a mathematical model for the use of idealized and approximately true data in the testing of scientific theories. Key episodes from the history of science can be understood in terms of this model as attempts to demonstrate that theories are monotonic, that is, yield better predictions when fed better or more realistic data. However, as we show, monotonicity and truth of theories are independent notions. A formal description is given of the (...) pragmatic virtues of theories which are monotonic. We also introduce the stronger concept of continuity and show how it relates to the finite nature of scientific computations. Finally, we show that the space of theories also has the structure of a Scott domain. This result provides an analysis of how one theory can be said to approximate another. (shrink)

The book Model-Based Reasoning in Scientific Discovery, aims to explain how specific modeling practices employed by scientists are productive methods of ...

The problem of idealization in empirical sciences is very rarely taken up in works concerned with the methodology of those sciences. It seems to be common knowledge that in advanced natural sciences references are made to concepts such as “perfectly rigid body,” “material point,” “perfect gas,” etc., but it remains a fact that the most important methodological concepts, concepts which have determined the present-day form of the philosophy of science, have been advanced without regard to the peculiarities of the procedure (...) mentioned above. And yet a moment's consideration suffices to raise doubts as to Carnap's physicalism and/or Popper's falsificationism if we just realize the trivial and commonly known truth that empirical sciences resort to idealizationism. For how are we to imagine a reduction of idealizational concepts to observation terms? And how are we to imagine that theorems which include idealizational concepts imply observation statements which refute, or at least are at variance with, those theorems? But it is a fact that such doubts have neither been raised by the authors of the conceptions mentioned above, nor have they been raised against them. (shrink)

The problem for the scientist created by using idealizations is to determine whether failures to achieve experimental fit are attributable to experimental error, falsity of theory, or of idealization. Even in the rare case when experimental fit within experimental error is achieved, the scientist must determine whether this is so because of a true theory and fortuitously canceling idealizations, or due to a fortuitous combination of false theory and false idealizations. For the engineer, the problem seems rather different. Experiment for (...) the engineer reveals the closeness of predictive fit that can be achieved by theory and idealization for a particular case. If the closeness of fit is good enough for some practical purpose, the job is done. If not, or there are reasons to consider variation, then the engineer needs to know how well the experimentally determined closeness of fit will extrapolate to new cases. This paper focuses on engineering measures of closeness of fit and the projectibility of those measures to new cases. (shrink)

'IRS' is our term for the logical empiricist idea that the best way to understand the epistemic bearing of observational evidence on scientific theories is to model it in terms of Inferential Relations among Sentences representing the evidence, and sentences representing hypotheses the evidence is used to evaluate. Developing ideas from our earlier work, including 'Saving the Phenomena'(Phil Review 97, 1988, p.303-52 )we argue that the bearing of observational evidence on theory depends upon causal connections and error characteristics of the (...) processes by which data is produced and used to detect features of phenomena. Neither of these depends upon, or is greatly illuminated by a consideration of, formal relations among observation and theoretical sentences or propositions. By taking causal structures and error characteristics, you too can evade the IRS. In doing so, you can gain insight into Hempel’s raven paradox, theory loading, and other issues from the standard philosophical literature on confirmation theory. (shrink)

Traditional theories construe approximate truth or truthlikeness as a measure of closeness to facts, singular facts, and idealization as an act of either assuming zero of otherwise very small differences from facts or imagining ideal conditions under which scientific laws are either approximately true or will be so when the conditions are relaxed. I first explain the serious but not insurmountable difficulties for the theories of approximation, and then argue that more serious and perhaps insurmountable difficulties for the theory of (...) idealization force us to sever its close tie to approximation. This leads to an appreciation of lawlikeness as a measure of closeness to laws, which I argue is the real measure of idealization whose main purpose is to carve nature at its joints. (shrink)

Contents: IDEALIZATION, APPROXIMATION AND COUNTERFACTUALS IN THE STRUCTURALIST FRAMEWORK. Theo A.F. KUIPERS: The Refined Structure of Theories. C. ULISES and Reinhold STRAUB: Approximation and Idealization from the Structuralist Point of View. Ilkka A. KIESEPPÄ: A Note on the Structuralist Account of Approximation. C. ULISES MOULINES and Reinhold STRAUB: A Reply to Kieseppä. Wolfgang BALZER and Gerhard ZOUBEK: Structuralist Aspects of Idealization. Andoni IBARRA and Thomas MORMANN: Counterfactual Deformation and Idealization in a Structuralist Framework. Ilkka A. KIESEPPÄ: Assessing the Structuralist Theory (...) of Verisimilitude. IDEALIZATION, APPROXIMATION AND THEORY FORMATION. Leszek NOWAK: Remarks on the Nature of Galileo's Methodological Revolution. Ilkka NIINILUOTO: Approximation in Applied Science. Elke HEISE, Peter GERJETS and Rainer WESTERMANN: Idealized Action Phases. A Concise Rubicon Theory. Klaus G. TROITZSCH: Modelling, Simulation, and Structuralism. Veikko RANTALA and Tere VADÉN: Idealization in Cognitive Science. A Study in Counterfactual Correspondence. Matti SINTONEN and Mika KIIKERI: Idealization in Evolutionary Biology. Timo TUOMIVAARA: On Idealization in Ecology. Martti KUOKKANEN and Matti HÄYRY: Early Utilitarianism and Its Idealizations from a Systematic Point of View. IDEALIZATION, APPROXIMATION AND MEASUREMENT. Rainer WESTERMANN: Measurement-Theoretical Idealizations and Empirical Research Practice. Uwe KONERDING: Probability as an Idealization of Relative Frequency. A Case Study by Means of BTL-Model. Reinhard SUCK and Joachim WIENÖBST: The Empirical Claim of Probability Statements, Idealized Bernoulli Experiments and their Approximate Version. Pekka J. LAHTI: Idealizations in Quantum Theory of Measurement. (shrink)

The modern history of verisimilitude can be divided into three periods. The first began in 1960, when Karl Popper proposed his qualitative definition of what it is for one theory to be more truthlike than another theory, and lasted until 1974, when David Miller and Pavel Trich published their refutation of Popper's definition. The second period started immediately with the attempt to explicate truthlikeness by means of relations of similarity or resemblance between states of affairs (or their linguistic representations); the (...) work within this similarity approach was summarized in the books of Graham Oddie [1986] and Ilkka Niiniluoto [1987]. During the subsequent third period, studies in verisimilitude have been actively continued, and interesting results and applications have been achieved, but not many dramatic novelties. While it is now obsolete to claim that truthlikeness with reasonable properties cannot be defined at all, there is still a lot of controversy about the best and least arbitrary approach to doing this. (shrink)

The concept of Galilean Idealization is based on a pragmatically grounded relation between universes of so-called real and idealized entities. The concept was developed in the course of a critical discussion of different explications of the concept of idealization (e.g. by W. F. Barr, C. G. Hempel and L. Nowak), these being attempts to specify sufficient syntactic and semantic criterions for idealization. But this line of argument shall not be followed here. Instead, first the concept of Pragmatic Idealization, and as (...) its special case the Galilean one, is presented (1.) and certain aspects of the application of an idealized theory are discussed (2.). Then, working within the Strucuralist View of theories, definitions of the idealized variants of the diachronic theory-element and theory-net are presented (3.). (shrink)

The use of idealizations and approximations in scientific explanations poses a problem for traditional philosophical theories of confirmation since, strictly speaking, these sorts of statements are false. Furthermore, in several central cases in the history of science, theoretical predictions seen as confirmatory are not, in any usual sense, even approximately true. As a means of eliminating the puzzling nature of these cases, two theses are proposed. First, explanations consist of idealized deductive-nomological sketches plus what are called modal auxiliaries, i.e., arguments (...) showing that if the idealizations used in the initial conditions are improved, then there will be an improvement in the prediction. Second, a theory is confirmed if it can be shown that its idealized sketches can be improved; similarly, a theory is disconfirmed if its idealized sketches cannot be improved. Several examples are given to illustrate both confirmation and disconfirmation achieved by means of the modal auxiliary. These cases are compared with Scriven's bridge example. (shrink)