Kuhn's theory of scientific change is founded on the idea that there are minimal defensible grounds for the claim that the history of science is characterized by the cumulative growth of knowledge. According to Kuhn, revolutionary theories in the history of science cannot be perceived as logical and empirical derivations from their predecessors since, quite often, the research methods, theoretical assumptions and the empirical findings of the former are incompatible with the latter. Thus, the analysis of each novel scientific theory (...) must begin with a recognition of the epistemological and ontological independence of that theory's paradigm. (shrink)

(1983). RATIONALISM AND THE STRONG PROGRAMME OF THE SOCIOLOGY OF KNOWLEKE: RECONCILIATION WITHOUT TEARS. Philosophical Papers: Vol. 12, No. 1, pp. 1-31.

This article endeavors to identify the strongest versions of the two primary arguments against epistemic scientific realism: the historical argument—generally dubbed “the pessimistic meta-induction”—and the argument from underdetermination. It is shown that, contrary to the literature, both can be understood as historically informed but logically validmodus tollensarguments. After specifying the question relevant to underdetermination and showing why empirical equivalence is unnecessary, two types of competitors to contemporary scientific theories are identified, both of which are informed by science itself. With the (...) content and structure of the two nonrealist arguments clarified, novel relations between them are uncovered, revealing the severity of their collective threat against epistemic realism and its “no-miracles” argument. The final section proposes, however, that the realist’s axiological tenet “science seeks truth” is not blocked. An attempt is made to indicate the promise for a nonepistemic, purely axiological scientific realism—here dubbed “Socratic scientific realism.”. (shrink)

The no-miracles argument for realism and the pessimistic meta-induction for anti-realism pull in opposite directions. Structural Realism---the position that the mathematical structure of mature science reflects reality---relieves this tension.

SummaryenThe main argument for scientific realism is that our present theories in science are so successful empirically that they can't have got that way by chance - instead they must somehow have latched onto the blueprint of the universe. The main argument against scientific realism is that there have been enormously successful theories which were once accepted but are now regarded as false. The central question addressed in this paper is whether there is some reasonable way to have the best (...) of both worlds: to give the argument from scientific revolutions its full weight and yet still adopt some sort of realist attitude towards presently accepted theories in physics and elsewhere. I argue that there is such a way - through structural realism, a position adopted by Poincare, and here elaborated and defended. (shrink)

The technical results presented here on continuity and approximate implication are obviously incomplete. In particular, a syntactic characterization of approximate implication is highly desirable. Nevertheless, I believe the results above do show that the theory has considerable promise for application to the areas mentioned at the top of the paper.Formulation and defense of realist interpretations of science, for example, require approximate truth because we hardly ever have evidence that a particular scientific theory corresponds perfectly with a portion of the real (...) world. Realists need to assert, then, that evidence for a theory is evidence for its approximate truth, not its truth (see [3] and [18]). Approximate truth is, however, a vague notion, and specification of quantity terms and of a sense of approximation are needed to make precise applications of it. Suitability of both vocabulary and sense of approximation depend on the subject matter, and their selection is a partly empirical matter that raises complex issues. In light of the number of common inferences which are not continuous, realists also need to be concerned about indiscriminate use of deductive logic to derive consequences from approximately true theories. These issues will be considered further in a future paper.Approximate truth also has potential application in areas of artificial intelligence that require inference from inaccurate data. In the ‘qualitative’ physical theories of de Kleer and Brown [6], for example, ‘qualitative’ values are derived by partitioning the real numbers into regions. Inferences leading from inside to outside a region must be identified and avoided, and approximate implication and continuity may prove useful in doing this. More generally, growing use of predicate logic as a programming language invites application of the theory of approximate truth as a symbolic substitute for numerical evaluation of computation errors. This too will be the subject of a future paper. (shrink)

This paper describes a theory of accuracy or approximate truth and applies it to problems in the realist interpretation of scientific theories. It argues not only that realism requires approximate truth, but that an adequate theory of approximation also presupposes some elements of a realist interpretation of theories. The paper distinguishes approximate truth from vagueness, probability and verisimilitude, and applies it to problems of confirmation and deduction from inaccurate premises. Basic results are cited, but details appear elsewhere. Objections are surveyed, (...) including arguments by Miller, Laymon, and Laudan. Comparison is made with Niiniluoto's theory of verisimilitude, and the utility of his theory for realism assessed. (shrink)

Realism about progress--that progress consists in the obtaining of some metaphysical relation between a sequence of theories and the world--is often thought to be required by realism about the representational character of theories. The purpose of this paper is to show how one can be a realist about theories without being a realist about progress. The result is a view that cannot be at odds with what the history of science shows.

Theoria, Volume 87, Issue 5, Page 1222-1249, October 2021.

Quine and Putnam argued for mathematical realism on the basis of the indispensability of mathematics to science. They claimed that the mathematics that is used in physical theories is confirmed along with those theories and that scientific realism entails mathematical realism. I argue here that current theories of confirmation suggest that mathematics does not receive empirical support simply in virtue of being a part of well confirmed scientific theories and that the reasons for adopting a realist view of scientific theories (...) do not support realism about mathematical entities, despite the use of mathematics in formulating scientific theory. (shrink)

A success-to-truth inference has always been at the heart of scientific realist positions. But all attempts to articulate the inference have met with very significant challenges. This paper reconstructs the evolution of this inference, and brings together a number of qualifications in an attempt to articulate a contemporary success-to-truth inference which is realistic. I argue that this contemporary version of the inference has a chance, at least, of overcoming the historical challenges which have been proffered to date. However, there is (...) a price to pay: the developments which help the realist answer the historical challenges also serve to increase the number of non-historical challenges. (shrink)

The underdetermination of scientific theory choice by evidence is a familiar but multifaceted concept in the philosophy of science. I answer two pressing questions about underdetermination: “What is underdetermination?” and “Why should we care about underdetermination?” To answer the first question, I provide a general definition of underdetermination, identify four forms of underdetermination, and discuss major criticisms of each form. To answer the second question, I then survey two common uses of underdetermination in broader arguments against scientific realism and in (...) support of the use of values in scientific theory choice. I conclude that philosophers should also care about underdetermination because it impacts scientists in their practice. (shrink)

Scientific realists contend that theory-conjunction presents a problem for empiricist conceptions of scientific knowledge and practice. Van Fraassen (1980) has offered a competing account of theory-conjunction which I argue fails to capture the mercenary character of epistemic dependence in science. Representative cases of theory-conjunction developed in the present paper show that mercenary reliance implies a "principle of epistemic symmetry" which only a realist can consistently accommodate. Finally, because the practice in question involves the conjunction of theories, a version of realism (...) more robust than the "entity realism" of Cartwright (1983, 1989) and Hacking (1983) is required to explain the success of theory-conjunction. (shrink)

Some eliminativists have predicted that a developed neuroscience will eradicate the principles and theoretical kinds (belief, desire, etc.) implicit in our ordinary practices of mental state attribution. Prevailing defenses of common-sense psychology infer its basic integrity from its familiarity and instrumental success in everyday social commerce. Such common-sense defenses charge that eliminativist arguments are self-defeating in their folk psychological appeal to the belief that eliminativism is true. I argue that eliminativism is untouched by this simple charge of inconsistency, and introduce (...) a different dialectical strategy for arguing against the eliminativist. In keeping with the naturalistic trend in the sociology and philosophy of science, I show that neuroscientists routinely rely on folk psychological procedures of intentional state attribution in applying epistemically reliable standards of scientific evaluation. These scientific contexts place ordinary procedures of attribution under greater stress, producing evidence of folk psychological success that is less equivocal than the evidence in mundane settings. Therefore, the dependence of science on folk psychology, when combined with an independently plausible explanatory constraint on reduction and an independently motivated notion of theoretical stress, allows us to reconstitute the charge of (neurophilic) eliminativist inconsistency in a more sophisticated form. (shrink)

The distinction between mature and immature science is controversial. Laudan (1977) disavows the idea of immature science while Von Eckardt (1993) claims that cognitive science is just that (an immature science) and modifies Laudan's Research Tradition methodology to argue its rational pursuability . She uses the (Kuhnian) idea of a framework of shared characteristics (FSC) to identify the community of cognitive scientists. Diverse community assumptions pertaining specifically to human cognitive capacities (should) consolidate cognitive research efforts into a coherent and rationally (...) pursuable scientific endeavor. Von Eckardt maintains that the substantive assumptions about the computational and representational character of human cognitive capacities are central to the rational reconstruction of immature cognitive science in two ways. Descriptively, these assumptions are evident in the cognitive science community. Normatively, the assumptions satisfy justificatory conditions on the rational pursuit of this computational, cognitive science research tradition. Normativity is a problem for any naturalistic approach and thus for Von Eckardt's FSC. I critique the FSC strategy and present a modestly naturalistic alternative based on ideas of Goodman, Quine, and more recently, Philip Kitcher. I apply them to the “childhood afflictions” endemic to immaturity, scientific and otherwise. I test my critique of immature computational cognitive science by discussing two phenomena that, in my view, belong properly to any theory of human cognition but are noticeably absent from Von Eckardt's FSC reconstruction. I conclude that understanding the reasons why the FSC view fails can and should contribute to the development of a successful and complete theory of human cognition. (shrink)

Many realist writings exemplify the spirit of ‘recipe realism’. Here I characterise recipe realism, challenge it, and propose replacing it with ‘exemplar realism’. This alternative understanding of realism is more piecemeal, robust, and better in tune with scientists’ own attitude towards their best theories, and thus to be preferred.

This review of recent work in the philosophy of science motivated by a commitment to 'naturalism' begins by identifying three key axioms and one theorem shared by philosophers thus self-styled. Owing much to Quine and Ernest Nagel, these philosophers of science share a common agenda with naturalists elsewhere in philosophy. But they have disagreed among themselves about how the axioms and the theorems they share settle long-standing disputes in the philosophy of science. After expounding these disagreements in the work of (...) Boyd, Giere, Laudan, and Kitcher, I argue that naturalism needs to look for more than mere consistency in its foundations. (shrink)

Scientific realism at least in large measure reflects the conviction that physics limns the true nature of reality; that it is the right metaphysical picture of things. This conviction is in turn a product of the failure of positivism's attempt to expunge metaphysics from the corpus of philosophically respectable activities. Since natural science is objective knowledge of the worldpar excellencepost-positivists have embraced it as the ontology which their predecessors had failed to make unnecessary. Scientific realism is metaphysics, shameless or unashamed.

Penelope Maddy advances a purportedly naturalistic account of mathematical methodology which might be taken to answer the question 'What justifies axioms of set theory?' I argue that her account fails both to adequately answer this question and to be naturalistic. Further, the way in which it fails to answer the question deprives it of an analog to one of the chief attractions of naturalism. Naturalism is attractive to naturalists and nonnaturalists alike because it explains the reliability of scientific practice. Maddy's (...) account, on the other hand, appears to be unable to similarly explain the reliability of mathematical practice without violating one of its central tenets. (shrink)

Philip Kitcher has advanced an epistemology of science that purports to be naturalistic. For Kitcher, this entails that his epistemology of science must explain the correctness of belief-regulating norms while endorsing a realist notion of truth. This paper concerns whether or not Kitcher's epistemology of science is naturalistic on these terms. I find that it is not but that by supplementing the account we can secure its naturalistic standing.

This Introduction has two foci: the first is a discussion of the motivation for and the aims of the 2014 conference on New Thinking about Scientific Realism in Cape Town South Africa, and the second is a brief contextualization of the contributed articles in this special issue of Synthese in the framework of the conference. Each focus is discussed in a separate section.

The criticisms levelled at the notion of truth by an anti-realist and an entity-realist are critically examined. The upshot of the discussion will be that whilst neither of the two anti-truth philosophers have succeeded in establishing their cases against truth, for entity-realists to reject the notion of truth is to throw out the baby with the bath water: entity-realism without the notion of correspondence truth will degenerate into anti-realism.

I examine the argument that scientific theories are typically 'underdetermined' by the data, an argument which has often been used to combat scientific realism. I deal with two objections to the underdetermination argument: (i) that the argument conflicts with the holistic nature of confirmation, and (ii) that the argument rests on an untenable theory/data dualism. I discuss possible responses to both objections, and argue that in both cases the proponent of underdetermination can respond in ways which are individually plausible, but (...) that the best response to the first objection conflicts with the best response to the second. Consequently underdetermination poses less of a problem for scientific realism than has often been thought. (shrink)

Sceptical arguments in epistemology typically employ sceptical hypotheses, which are rivals to our everyday beliefs so constructed that they fit exactly the evidence on which those beliefs are based. There are two ways of using a sceptical hypothesis to undermine an everyday belief, giving rise to two distinct sorts of sceptical argument: underdetermination‐based and closure‐based. However, both sorts of argument, as usually formulated in the literature, fall foul of evidential holism, for they ignore the crucial role of background beliefs. An (...) analogy with the philosophy of science makes this point explicit. There is no simple way to “holism proof” the two sceptical arguments. (shrink)

A holistic account of the meaning of theoretical terms leads scientific realism into serious troubles. Alternative methods of reference fixing are needed by a realist who wishes to show how reference invariance is possible in spite of meaning variance. This paper argues that the similarity theory of truthlikeness and approximate truth, developed by logicians since the mid 1970s, helps to make precise the idea of charitable theoretical reference. Comparisons to the recent proposals by Kitcher and Psillos are given. This argument (...) helps to undermine the scepticist meta-induction about theories, and thereby to reevaluate Laudan's alleged confutation of scientific realism. (shrink)

This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.

In the lengthy debate over the question of scientific realism one of the least discussed positions is structural realism. However, this position ought to attract critical attention because it purports to preserve the central insights of the best arguments for both realism and anti-realism. John Worrall has in fact described it as being ‘the best of both worlds’ that recognizes the discontinuous nature of scientific change as well as the ‘no-miracles’ argument for scientific realism. However, the validity of this claim (...) has been called into question by Stathis Psillos. He questions its ability to correctly account for the examples of scientific change that its supporters, like Worrall, claim ought to be understood in a structural realist light. (shrink)

In his book The Mangle of Practice and in other writings, Andrew Pickering purports to resolve the question of scientific realism by recasting the debate in terms of his own view “pragmatic” or “performative” realism. This view is informed by a constructivist view of scientific practice. Therefore it is characterised by Pickering as a species of anti‐realism that claims to take due account of the both the objective and pragmatic aspects of certain versions of scientific realism. This paper analyses Pickering's (...) claims to have resolved the debate and examines the merits and limitations of his proposed replacement.I show that insofar as Pickering conceives scientific practice as eschewing any position concerning the correspondence of theoretical concepts with nature , his position can be compared in several respects to Fine's much discussed alternative to realism, NOA . I contend that Pickering's proposed “performative realism” is no more successful at resolving the scientific realism question in than is NOA. (shrink)

In his book The Mangle of Practice and in other writings, Andrew Pickering purports to resolve the question of scientific realism by recasting the debate in terms of his own view “pragmatic” or “performative” realism. This view is informed by a constructivist view of scientific practice. Therefore it is characterised by Pickering as a species of anti‐realism that claims to take due account of the both the objective and pragmatic aspects of certain versions of scientific realism. This paper analyses Pickering's (...) claims to have resolved the debate and examines the merits and limitations of his proposed replacement.I show that insofar as Pickering conceives scientific practice as eschewing any position concerning the correspondence of theoretical concepts with nature, his position can be compared in several respects to Fine's much discussed alternative to realism, NOA. I contend that Pickering's proposed “performative realism” is no more successful at resolving the scientific realism question in than is NOA. (shrink)

The chief argument for scientific realism is the no-miracles argument, according to which the approximate truth of our current scientific theories can be inferred from their success through time. To date, anti-realist responses to the argument have been unconvincing, largely because of their anti-realistic presuppositions. In this paper, it is shown that realists cannot pre-emptively dismiss the problem of the underdetermination of theory by evidence, and that the no-miracles argument fails because it does nothing to dispel the threat posed by (...) underdetermination, although it may be effective against other anti-realistic arguments. (shrink)

This paper offers a general characterization of underdetermination and gives a prima facie case for the underdetermination of the topology of the universe. A survey of several philosophical approaches to the problem fails to resolve the issue: the case involves the possibility of massive reduplication, but Strawson on massive reduplication provides no help here; it is not obvious that any of the rival theories are to be preferred on grounds of simplicity; and the usual talk of empirically equivalent theories misses (...) the point entirely. (If the choice is underdetermined, then the theories are not empirically equivalent!) Yet the thought experiment is analogous to a live scientific possibility, and actual astronomy faces underdetermination of this kind. This paper concludes by suggesting how the matter can be resolved, either by localizing the underdetermination or by defeating it entirely. Introduction A brief preliminary Around the universe in 80 days Some attempts at resolving the problem 4.1 Indexicality 4.2 Simplicity 4.3 Empirical equivalence 4.4 Is this just a philosophers' fantasy? Move along... ...nothing to see here 6.1 Rules of repetition 6.2 Some possible replies Conclusion. (shrink)

Scientific Realists argue that it would be a miracle if scientific theories were getting more predictive without getting closer to the truth; so they must be getting closer to the truth. Van Fraassen, Laudan et al. argue that owing to the underdetermination of theory by data (UDT) for all we know, it is a miracle, a fluke. So we should not believe in even the approximate truth of theories. I argue that there is a test for who is right: suppose (...) we are at the limit of inquiry. Suppose that we then have all the logically possible theories that are adequate to all the actual data. If they all resembled in their theoretical claims, since one of them must be true, all of them would then resemble it, whichever it is. We would thus be justified in saying they all approximated the truth in the degree to which they co-resembled. If they don't all co-resemble, the SRs are wrong; more predictive theories are not necessarily closer to the theoretical truth. Prior to the limit, if, in spite of our best efforts to the contrary, all the theories we can make adequate to current data tend to co-resemble, we have inductive warrant for thinking more predictive theories are closer to the truth. If they don't resemble, we have inductive warrant for thinking that more predictive theories are not necessarily closer to the truth. (shrink)

In this paper I argue three things: (1) that the interactionist view underlying Benacerraf's (1973) challenge to mathematical beliefs renders inexplicable the reliability of most of our beliefs in physics; (2) that examples from mathematical physics suggest that we should view reliability differently; and (3) that abstract mathematical considerations are indispensable to explanations of the reliability of our beliefs.

A standard problem in empirical inquiry is how to adjudicate between contending theories when they work from different fundamental assumptions. In the field of political sociology, several strategies are adopted, from metatheoretical and comparative historical approaches to the recent formal models of scientific growth proposed by Imre Lakatos and Larry Laudan. After considering the limitations of these approaches, I develop an alternative strategy—"second—order empiricism"—based on the idea that successor theories have an onus to explain the apparent success of their rivals, (...) not only their own and their rivals' anomalies. Such a strategy, I argue, underscores some of the most effective analysis and argument in political sociology, yet is obscured by the appeal to other methodologies. (shrink)

I argue that one good reason for Scientific Realists to be interested in correspondence theories is the hope they offer us of being able to state and defend realistic theses in the face of well-known difficulties about modern physics: such theses as, that our theories are approximately true, or that they will tend to approach the truth. I go on to claim that this hope is unlikely to be fulfilled. I suggest that Realism can still survive in the face of (...) these difficulties, as a claim about the kind of theories we want to aim for. I relate this conception of Realism to various contemporary discussions, both by realists and antirealists. (shrink)

This essay contains a partial exploration of some key concepts associated with the epistemology of realist philosophies of science. It shows that neither reference nor approximate truth will do the explanatory jobs that realists expect of them. Equally, several widely-held realist theses about the nature of inter-theoretic relations and scientific progress are scrutinized and found wanting. Finally, it is argued that the history of science, far from confirming scientific realism, decisively confutes several extant versions of avowedly 'naturalistic' forms of scientific (...) realism. (shrink)

Scientific realists often appeal to some version of the conjunction objection to argue that scientific instrumentalism fails to do justice to the full empirical import of scientific theories. Whereas the conjunction objection provides a powerful critique of scientific instrumentalism, I will show that mathematical instnrunentalism escapes the conjunction objection unscathed.

For as long as realists and instrumentalists have disagreed, partisans of both sides have pointed in argument to the actions and sayings of scientists. Realists in particular have often drawn comfort from the literal understanding given even to very theoretical propositions by many of those who are paid to deploy them. The scientists' realism, according to the realist, is not an idle commitment: a literal understanding of past and present theories and concepts underwrites their employment in the construction of new (...) theories. The theme of this book is philosophy and technology, and here's the connection: new theories point out—and explain—new phenomena. So realism, claim the realists, is at the heart of science's achievement of what Bacon, that early philosopher of technology, identified as science's aim: new knowledge offering new powers. (shrink)

For as long as realists and instrumentalists have disagreed, partisans of both sides have pointed in argument to the actions and sayings of scientists. Realists in particular have often drawn comfort from theliteralunderstanding given even to very theoretical propositions by many of those who are paid to deploy them. The scientists' realism, according to the realist, is not an idle commitment: a literal understanding of past and present theories and concepts underwrites their employment in the construction ofnewtheories. The theme of (...) this book is philosophy and technology, and here's the connection:newtheories point out—and explain—newphenomena. So realism, claim the realists, is at the heart of science's achievement of what Bacon, that early philosopher of technology, identified as science's aim:newknowledge offeringnewpowers. (shrink)