In the process of scientific discovery, knowledge ampliation is pursued by means of non-deductive inferences. When ampliative reasoning is performed, probabilities cannot be assigned objectively. One of the reasons is that we face the problem of the unconceived alternatives: we are unable to explore the space of all the possible alternatives to a given hypothesis, because we do not know how this space is shaped. So, if we want to adequately account for the process of knowledge ampliation, we need to (...) develop an account of the process of scientific discovery which is not exclusively based on probability calculus. We argue that the analytic view of the method of science advocated by Cellucci is interestingly suited to this goal, since it rests on the concept of plausibility. In this perspective, in order to account for how probabilities are in fact assigned in uncertain contexts and knowledge ampliation is really pursued, we have to take into account plausibility-based considerations. (shrink)

Scientific Realism (SR) has three crucial aspects: 1) the centrality of the concept of truth, 2) the idea that success is a reliable indicator of truth, and 3) the idea that the Inference to the Best Explanation is a reliable inference rule. It will be outlined how some realists try to overcome the difficulties which arise in justifying such crucial aspects relying on an adaptationist view of evolutionism, and why such attempts are inadequate. Finally, we will briefly sketch some of (...) the main difficulties the realist has to face in defending those crucial aspects, and how such difficulties are deeply related: they derive from the inability of SR to satisfyingly avoid the sceptical challenge of the criterion of truth. Indeed, SR seems not to be able to fill the so-called ‘epistemic gap’ (Sankey 2008). In fact, the epistemic gap cannot be filled in no way other than obtaining a criterion of truth, but such a criterion cannot be obtained if the epistemic gap obtains. (shrink)

Mizrahi’s argument against Stanford’s challenge to scientific realism is analyzed. Mizrahi’s argument is worth of attention for at least two reasons: unlike other criticisms that have been made to Stanford’s view so far, Mizrahi’s argument does not question any specific claim of Stanford’s argument, rather it puts into question the very coherence of Stanford’s position, because it argues that since Stanford’s argument rests on the problem of the unconceived alternatives, Stanford’s argument is self-defeating. Thus, if Mizrahi’s argument is effective in (...) countering Stanford’s view, it may be able to question the validity of other philosophical positions which similarly rest on the problem of the unconceived alternatives; Mizrahi’s argument against Stanford’s view is in part based on the development of a Stanford-like argument for the field of philosophy. This makes Mizrahi’s argument potentially relevant to the metaphilosophical debate. After careful examination, Mizrahi’s argument against Stanford’s instrumentalism is found wanting. Moreover, a Stanford-like argument is developed, which aims at challenging the metaphilosophical stance implied by Mizrahi’s argument against Stanford’s instrumentalism. (shrink)

Advocates have sought to prove that underdetermination obtains because all theories have empirical equivalents. But algorithms for generating empirical equivalents simply exchange underdetermination for familiar philosophical chestnuts, while the few convincing examples of empirical equivalents will not support the desired sweeping conclusions. Nonetheless, underdetermination does not depend on empirical equivalents: our warrant for current theories is equally undermined by presently unconceived alternatives as well-confirmed merely by the existing evidence, so long as this transient predicament recurs for each theory and body (...) of evidence we consider. The historical record supports the claim that this recurrent, transient underdetermination predicament is our own. (shrink)

I develop an account of predictive similarity that allows even Antirealists who accept a correspondence conception of truth to answer the Realist demand (recently given sophisticated reformulations by Musgrave and Leplin) to explain the success of particular scientific theories by appeal to some intrinsic feature of those theories (notwithstanding the failure of past efforts by van Fraassen, Fine, and Laudan). I conclude by arguing that we have no reason to find truth a better (i.e., more plausible) explanation of a theory's (...) success than predictive similarity, even of its success in making novel predictions. (shrink)

This paper develops a probabilistic reconstruction of the No Miracles Argument in the debate between scientific realists and anti-realists. The goal of the paper is to clarify and to sharpen the NMA by means of a probabilistic formalization. In particular, we demonstrate that the persuasive force of the NMA depends on the particular disciplinary context where it is applied, and the stability of theories in that discipline. Assessments and critiques of "the" NMA, without reference to a particular context, are misleading (...) and should be relinquished. This result has repercussions for recent anti-realist arguments, such as the claim that the NMA commits the base rate fallacy. It also helps to explain the persistent disagreement between realists and anti-realists. (shrink)

Resumo: Neste artigo, argumentamos a favor de uma versão sofisticada do realismo científico, tendo como eixo norteador a análise do desempenho do que consideramos ser o seu elemento de defesa estratégico: o “argumento do milagre”. O realismo científico é a perspectiva comprometida com as nossas melhores teorias científicas, isto é, com a existência de entidades, processos, relações etc., observáveis ou inobserváveis, indispensáveis para explicar o seu sucesso empírico, em particular, com aqueles componentes das teorias que são cruciais para se alcançar (...) novas previsões bem-sucedidas. O argumento do milagre é um tipo de abdução ou inferência da melhor explicação e se expressa na célebre formulação de Putnam : “O realismo científico é a única filosofia que não faz do sucesso da ciência um milagre.” Analisamos e rebatemos duas importantes modalidades de argumentação antirrealista: a indução pessimista e a circularidade viciosa da inferência da melhor explicação. Acreditamos estar justificados quanto à defesa da intuição básica do realismo científico, com o apoio de uma versão fortalecida e articulada do argumento do milagre, mediante as qualificações de novidade preditiva e fecundidade teórica: a ciência é bem-sucedida em explicar e prever fenômenos, inclusive novos, porque suas melhores teorias são verdadeiras e as entidades inobserváveis postuladas por essas teorias realmente existem. Concluímos que o argumento do milagre continua sendo basilar e estratégico na defesa do realismo científico.: In this article, we argue in favor of a sophisticated version of scientific realism, based on an analysis of what we consider to be the strategic element of its defense: the “miracle argument”. Scientific realism is the perspective applicable to our best scientific theories; that is, it applies to entities, processes, and relationships, etc., whether observable or unobservable, which are indispensable for explaining the empirical success of theories, and it applies particularly to those components of the theories that are crucial to achieving new and successful forecasts. The miracle argument is a type of abduction or inference to the best explanation, and is expressed in the famous formulation of Putnam : “[Scientific] realism is the only philosophy that doesn’t make the success of the science a miracle.” We analyze and refute two important modes of antirealist argument: pessimistic induction and vicious circularity of inference to the best explanation. We believe that we are justified in defending the basic intuition of scientific realism, supported by a strengthened version of the miracle argument, together with the attributes of predictive novelty and theoretical fecundity. From this perspective, science succeeds in explaining and predicting phenomena, including new phenomena, because its best theories are true, and the unobservable entities postulated by these theories actually exist. We conclude that the miracle argument continues to be basic and strategic in the defense of scientific realism. (shrink)

This article elaborates local selective realism in view of the shifting from classical to quantum electrodynamics. After some introductory remarks, we critically address what we call global selective realism, hence setting forth the background for outlining local selective realism. When examining the transition from classical to quantum electrodynamics, we evaluate both continuities and discontinuities in observational features, mathematical structures, and ontological presuppositions. Our argument leads us to criticise the narrow understanding of limiting-case strategies, and to reject the claim that we (...) need a fully coherent theoretical framework to account for the transition from one theory to its successor in the case of electrodynamics. We close with a few remarks on the scope of local selective realism. (shrink)

This paper takes up the critique of armchair philosophy drawn by some experimental philosophers from survey results. It also takes up a more recent development with increased methodological sophistication. The argument based on disagreement among respondents suggests a much more serious problem for armchair philosophy and puts in question the standing of our would-be discipline.

Is understanding subject to a factivity constraint? That is, must the agent’s representation of some subject matter be accurate in order for her to understand that subject matter? ‘No’, I argue in this paper. As an alternative, I formulate a novel manipulationist account of understanding. Rather than correctly representing, understanding, on this account, is a matter of being able to manipulate a representation of the world to satisfy contextually salient interests. This account of understanding is preferable to factivism, I argue, (...) mainly for simplicity reasons. While it explains the intuitive data about understanding as successfully as factivist accounts, it is simpler by virtue of reducing the value truth bestows on understanding to that of usability. (shrink)

Positivism has been used to establish a standard that Information Systems (IS) research must meet to be scientific. According to such positivistic beliefs in IS, scientific research should: 1) be generalizable, 2) focus on stable independent variables, 3) have certain ontological assumptions, and 4) use statistical or quantitative methods rather than qualitative methods. We argue that logical positivist philosophers required none of these. On the contrary, logical positivist philosophers regarded philosophizing in general and ontological considerations in particular as nonsense. Moreover, (...) the positivists’ preferred empirical research method was not a survey, but rather a qualitative observation recorded by field notes. In addition, positivist philosophers required neither statistical nor nonstatistical generalizability. At least some positivist philosophers also acknowledged the study of singular cases as being scientific. Many research orientations (e.g., single-setting research, examination of change, qualitative research) that are deemed “unscientific” by positivism in IS seem to be “scientific” (in principle) according to logical positivism. In turn, generally speaking, what has been justified as scientific by positivism in IS (e.g., requirements of statistical or nonstatistical generalizability, surveys, independent variables, ontological views) were either not required by logical positivists or were regarded as nonsensical by logical positivists. Furthermore, given that positivism is sometimes associated (or confused) with logical empiricism in IS, we also briefly discuss logical empiricism. Finally, realizing that certain influential, taken-forgranted assumptions that underlie IS research are unwarranted could have ground-breaking implications for future IS research. (shrink)

Arthur Fine presented the Natural Ontological Attitude as a third alternative between scientific realism and anti-realism by identifying a core position contained in both and rejecting any philosophical addition to this core. At first, Fine’s proposal was understood as offering a doxastic middle ground between believing in the truth of a theory and believing in its empirical adequacy. In this reading, NOA was widely disregarded after Alan Musgrave’s criticisms of it, which characterized Fine’s proposal as a form of realism. After (...) that, NOA was reinterpreted as a local variety of realism focused in changing the attitude used to settle the scientific realism debate, by rejecting global philosophies with an approach external to science, and by considering only the scientific evidence with a contextualist mood. Although this reading clarifies how to understand NOA, there is still no consensus about what is Fine’s argument to support it. I organize the four main interpretations of Fine’s defense and point their main flaws. Finally, I develop some clarifications about NOA in order to solve the flaws of the preceding interpretations, defending that NOA is based upon a prevalence of the epistemic values actually used in scientific practice. (shrink)

The problem of unconceived alternatives states that, since scientists have recurrently failed to conceive relevant theoretical alternatives for some domains of science, current scientists are probably also failing to do so. Therefore, there may be theories which still exceed the grasp of scientists’ imagination, and one should not endorse a realist stance towards current science. In this paper, I raise a conceptual worry for the formulation of this problem: what does it mean to say that scientists failed to conceive a (...) relevant theory? What aggravates the problem is that no simple notion of relevance makes the New Induction as strong as it initially seems. I consider the three more obvious interpretations of relevance: relevance as objective probability; relevance as epistemic probability assessed by current scientists; and relevance as epistemic probability assessed by past scientists. I argue that assuming any of these three notions implies difficulties for the New Induction, hence their proponents shouldn’t take the notion of relevance for granted. A more precise definition of relevance is essential to understand what are the difficulties surrounding the problem of unconceived alternatives as an epistemic worry. Until now, such notion is missing. KeyWords: Scientific realism, unconceived alternatives, Kyle Stanford, New Induction, Pessimistic Induction. (shrink)

Complementarity can be considered as the weirdest idea associated with quantum mechanics. For Bohr, Complementarity is important in order to be able to convey successfully the non-classical features of quantum mechanics. This paper discusses the epistemic and ontological implications of different new experiments that attempt to detect complementarity. Complementarity has surely survived the attempts to overcome it, yet some of these experiments have led to a more general form of complementarity. Others claim to be able to differentiate among the different (...) interpretations of quantum physics. Nonetheless, such claims have revealed contradictory representations of the ontological picture of the universe. Hence, Bohr’s position is still valid. (shrink)

The paper seeks to answer two new questions about truth and scientific change: What lessons does the phenomenon of scientific change teach us about the nature of truth? What light do recent developments in the theory of truth, incorporating these lessons, throw on problems arising from the prevalence of scientific change, specifically, the problem of pessimistic meta-induction?

Many philosophers are baffled by necessity. Humeans, in particular, are deeply disturbed by the idea of necessary laws of nature. In this paper I offer a systematic yet down to earth explanation of necessity and laws in terms of invariance. The type of invariance I employ for this purpose generalizes an invariance used in meta-logic. The main idea is that properties and relations in general have certain degrees of invariance, and some properties/relations have a stronger degree of invariance than others. (...) The degrees of invariance of highly-invariant properties are associated with high degrees of necessity of laws governing/describing these properties, and this explains the necessity of such laws both in logic and in science. This non-mysterious explanation has rich ramifications for both fields, including the formality of logic and mathematics, the apparent conflict between the contingency of science and the necessity of its laws, the difference between logical-mathematical, physical, and biological laws/principles, the abstract character of laws, the applicability of logic and mathematics to science, scientific realism, and logical-mathematical realism. (shrink)

Historical inductions, that is, the pessimistic metainduction and the problem of unconceived alternatives, are critically analyzed via John D. Norton’s material theory of induction and subsequently rejected as noncogent arguments. It is suggested that the material theory is amenable to a local version of the pessimistic metainduction, for example, in the context of some medical studies.

There has been a great deal of skepticism towards the value of the realism/anti-realism debate. More specifically, many have argued that plausible formulations of realism and anti-realism do not differ substantially in any way. In this paper, I argue against this trend by demonstrating how a hypothetical resolution of the debate, through deeper engagement with the historical record, has important implications for our criterion of theory pursuit and science policy. I do this by revisiting Arthur Fine’s ‘small handful’ argument for (...) realism and show how the debate centers on whether continuity should be an indicator for the future fruitfulness of a theory. I then demonstrate how these debates work in practice by considering the case of the Human Brain Project. I close by considering some potential practical considerations of formulating meta-inductions. By doing this, I contribute three insights to the current debate: 1) demonstrate how the realism/anti-realism debate is a substantive debate, 2) connect debates about realism/anti-realism to debates about theory choice and pursuit, and 3) show the practical significance of meta-inductions. (shrink)

This paper presents a more clear formulation of the correspondence principle and explores its justification.

Multiple simultaneous independent discoveries, so well enunciated by Robert K. Merton in the early 1960s but already discussed for several hundreds of years, is a classic concept in the sociology of science. In this paper, the concept of multiple simultaneous independent errors is proposed, analyzed, and discussed. The concept of Selective Pessimistic Induction is proposed and used to connect MIDs with MIEs. Five types of MIEs are discussed: multiple errors in the interpretation of experimental data or computational results; multiple misjudgments (...) of the value of another’s research results or conclusions; multiple cases of false anticipation of achieving a certain experimental result; multiples of ignoring or omitting relevant precedents; and multiple instances of failure due to a not-yet-conceived scientific concept or principle. Causal MIDs and MIEs are those that can be traced directly to antecedent knowledge. Acausal MIDs and MIEs are those involving a consequential and identifiable leap from antecedent knowledge. Examples of causal and acausal MIEs are provided, mostly but not exclusively from the discipline of chemistry. Comparisons are made between MIDs and MIEs. Topics for future research are discussed and implications of these concepts are proposed. (shrink)

This paper presents arguments and evidence from psychology and neuroscience supporting Lipton’s 2004 claim that scientists create knowledge through an abductive process that he calls “Inference to the Best Explanation”. The paper develops two conclusions. Conclusion 1 is that without conscious effort on our part, our brains use a process very similar to abduction as a powerful way of interpreting sensory information. To support Conclusion 1, evidence from psychology and neuroscience is presented that suggests that what we humans perceive through (...) our senses is not reality, but rather, our ‘brain’s “best guess” of the causes of its sensory input. The implication of this best guessing is that our brains use a process very similar to abduction throughout our lives to inform us of what is happening in the world around us. In addition, an argument based on Darwinian evolution is presented claiming that our brains do an excellent job of interpreting sensory information from the outside world. (If they did not, we, as a species, could hardly have survived.) Combining these two claims leads to Conclusion 1. Building on Conclusion 1, Conclusion 2 is that Lipton and others are correct in claiming that scientists use abduction when creating scientific theories. Abduction must be strong, because Nature chose abduction for its own sensemaking purposes. This paper’s contribution to knowledge is in pointing out that recent psychological and neuroscientific research has major implications for the philosophical world’s confidence in the probable validity of abductive inference. The punchline is simple: Nature chose abduction! (shrink)

Starting from a brief recapitulation of the contemporary debate on scientific realism, this paper argues for the following thesis : Assume a theory T has been empirically successful in a domain of application A, but was superseded later on by a superior theory T * , which was likewise successful in A but has an arbitrarily different theoretical superstructure. Then under natural conditions T contains certain theoretical expressions, which yielded T's empirical success, such that these T-expressions correspond (in A) to (...) certain theoretical expressions of T * , and given T * is true, they refer indirectly to the entities denoted by these expressions of T * . The thesis is first motivated by a study of the phlogiston–oxygen example. Then the thesis is proved in the form of a logical theorem , and illustrated by further examples. The final sections explain how the correspondence theorem justifies scientific realism and work out the advantages of the suggested account. Introduction: Pessimistic Meta-induction vs. Structural Correspondence The Case of the Phlogiston Theory Steps Towards a Systematic Correspondence Theorem The Correspondence Theorem and Its Ontological Interpretation Further Historical Applications Discussion of the Correspondence Theorem: Objections and Replies Consequences for Scientific Realism and Comparison with Other Positions 7.1 Comparison with constructive empiricism 7.2 Major difference from standard scientific realism 7.3 From minimal realism and correspondence to scientific realism 7.4 Comparison with particular realistic positions CiteULike Connotea Del.icio.us What's this? (shrink)

This paper elaborates on the following correspondence theorem (which has been defended and formally proved elsewhere): if theory T has been empirically successful in a domain of applications A, but was superseded later on by a different theory T* which was likewise successful in A, then under natural conditions T contains theoretical expressions which were responsible for T’s success and correspond (in A) to certain theoretical expressions of T*. I illustrate this theorem at hand of the phlogiston versus oxygen theories (...) of combustion, and the classical versus relativistic theories of mass. The ontological consequences of the theorem are worked out in terms of the indirect reference and partial truth. The final section explains how the correspondence theorem may justify a weak version of scientific realism without presupposing the no-miracles argument. (shrink)

This paper utilizes a logical correspondence theorem (which has been proved elsewhere) for the justification of weak conceptions of scientific realism and convergence to truth which do not presuppose Putnam's no-miracles-argument (NMA). After presenting arguments against the reliability of the unrestricted NMA in Sect. 1, the correspondence theorem is explained in Sect. 2. In Sect. 3, historical illustrations of the correspondence theorem are given, and its ontological consequences are worked out. Based on the transitivity of the concept of correspondence, a (...) correspondence-based notion of convergence to truth is developed in Sect. 4. In the final Sect. 5 it is argued that the correspondence theorem together with the assumption of ' minimal realism' yields a justification of a weak version of scientific realism, which is then compared to metaphysical realism and to instrumentalism. (shrink)

Today, Larry Laudan is known predominantly for his work on the pessimistic metainduction and for his discussion of science and values. This essay examines a less familiar part of Laudan’s work, his typology of historical methodologies from the late 1970s. My aim is to elucidate Laudan’s typology and to examine one of the types in more depth, namely, the “pragmatic, symbiotic” model of historical methodology. Laudan expounded the model in the essays that eventually became his 1981 book Science and Hypothesis. (...) Laudan himself characterized this approach to methodology as “history of philosophy of science” and described a number of historiographical guidelines for this history. Several of Laudan’s questions about past scientific methodologies are still worth pursuing, although—and in part because—the concept of scientific methodology changed dramatically as philosophers turned to experimentation in the late twentieth century. Moreover, the study of Laudan’s work in the historical context in which it was devised can shed light on the historical turn in philosophy of science. (shrink)

Perhaps the strongest argument for scientific realism, the no-miracles-argument, has been said to commit the so-called base rate fallacy. The apparent elusiveness of the base rate of true theories has even been said to undermine the rationality of the entire realism debate. In this paper, I confront this challenge by arguing, on the basis of the Kuhnian picture of theory choice, that a theory is likely to be true if it possesses multiple theoretical virtues and is embraced by numerous scientists, (...) even when the base rate converges to zero. (shrink)

How is metaphysics related to the empirical sciences? Should metaphysics in general be guided by the sources, methods and results of the sciences? And what about the special case of the metaphysics of the social world: should it likewise be guided by the sources, methods and results of the social sciences? In her paper “Social Science as a Guide to Social Metaphysics?”, K. Hawley raises the question: If we are sympathetic to the project of naturalising metaphysics, how should we approach (...) the metaphysics of the social world? She proceeds by discussing three approaches to social metaphysics: inference to the best explanation from current social science, descriptive conceptual analysis, and normative, especially ‘ameliorative’ projects. At the end of her discussion, she reaches a rather pessimistic conclusion, especially as regards the IBE approach: “a number of phenomena indicate that the prospects for securely basing social metaphysics via inference to the best explanation from social science are currently faint. […] We need to look elsewhere if we are to develop a metaphysics of the social world.” In my comments on her paper, I try to re-animate the program of an inductive metaphysics by defending the idea that the method of inference to the best explanation should be the central method of justification for metaphysics in general and for social metaphysics in particular. (shrink)

Philosophers use historical case studies to support wide-ranging claims about science. This practice is often criticized as problematic. In this paper we suggest that the function of case studies can be understood and justified by analogy to a well-established practice in biology: the investigation of model organisms. We argue that inferences based on case studies are no more problematic than inferences from model organisms to larger classes of organisms in biology. We demonstrate our view in detail by reference to a (...) case study with a long history: Semmelweis’s discovery of the cause of childbed fever. (shrink)

The main thrust of the paper involves a theoretical and philosophical analysis of the claim made in September 1999 that atomic orbitals have been directly imaged for the first time. After a brief account of the recent claims the paper reviews the development of the orbit and later orbital concepts and analyzes the theoretical status of atomic orbitals. The conclusion is that contrary to these claims, atomic orbitals have not in fact been observed. The non-referring nature of modern atomic orbitals (...) is discussed in the context of Laudan's writings on realism, the success of theories, and whether or not scientific terms refer. I conclude that the failure to observe orbitals is a good prima facie case for divorcing the success of theories from the question of whether their central terms refer. The added relevance of this case is that it concerns a current and highly successful theory. Finally, the relevance of this ‘floating model’ to contemporary discussions on scientific models is briefly considered. (shrink)

Ever since Hilary Putnam claimed that a realist philosophy is “the only philosophy that doesn’t make the success of science a miracle,” explanations for the success of science have proliferated in the philosophical literature (Putnam 1975, p. 73). Realists argue that the success of science, as exhibited by our ability to accurately predict and explain a wide range of phenomena, indicates that our theories have identified some of the underlying causal structures of the world (e.g., Boyd 1985, Ellis 1985, McMullin (...) 1984, Salmon 1984). Nonrealists counter that success cannot provide a warrant for belief in the truth of scientific theories because there have been successful theories in the past that are now believed to be false (Laudan 1981b). Instead, they offer a naturalized account whereby our theories are designed to be successful predictors and only those which fulfill this goal survive (Laudan 1987, van Fraassen, 1980). (shrink)

The paper discusses the version of entity realism presented by Ian Hacking in his book, Representing and Intervening. Hacking holds that an ontological form of scientific realism, entity realism, may be defended on the basis of experimental practices which involve the manipulation of unobservable entities. There is much to be said in favour of the entity realist position that Hacking defends, especially the pragmatist orientation of his approach to realism. But there are problems with the position. The paper explores two (...) issues that reflect negatively on Hacking’s version of the entity realist position. The first issue relates to the role of description in fixing the reference of theoretical terms. The second issue relates to Hacking’s claim that the argument for entity realism based on experiment is a different kind of argument from the standard argument for scientific realism based on the success of science. (shrink)

A theory’s fertility is one of the standard theoretical virtues. But how is it to be construed? In current philosophical discourse, particularly in the realism debate, theoretical fertility is usually understood in terms of novel success: a theory is fertile if it manages to make successful novel predictions. Another, more permissible, notion of fertility can be found in the work of Ernan McMullin. This kind of fertility, McMullin claims, gives us just as strong grounds for realism. My paper critically assesses (...) McMullin’s notion of fertility and its realist rationale. It concludes that McMullin’s preferred example, namely the fertile development of the Bohr-Sommerfeld model of the atom, does not support McMullin’s argument for realism. Although the implications for the realism debate are as of yet unclear, the case study offers some important methodological lessons. (shrink)

In the on-going debate between scientific realism and its various opponents, a crucial role in challenging the realist claim that success of scientific theories must be attributed to their approximate truth is played by the so-called pessimistic meta-induction: Arguing that the history of science boils down to a succession of theories which, though successful at a time, were eventually discarded only to be replaced by alternative theories which in turn met with the same fate, it purports to show that the (...) empirical success of scientific theories cannot have any bearing on claims about their truth-likeness. Yet, the same historical record suggests a possible strategy to counter this argument. Far from being a barren wasteland, it contains cases which point to the need of adopting a selective attitude when passing judgments about truth-likeness of theories. In this vein, Psillos has proposed the so-called divide et impera move. It consists in pointing out that responsibility for the success of a theory should be attributed to an indispensable core element in it, acting in unison with other elements reflecting the concrete historical conditions under which the theory was formulated. In what follows it is argued that the discovery of Kepler's first two laws and the transition to Newtonian mechanics provides a notable case to exhibit the divide et impera move. All the more so, since—as will be shown—Kepler himself employs a variant of this move, a fact that sheds light on the philosophical implications of his theories. As a result, it will be argued that the appropriate selective attitude towards theories becomes solidly warranted if wedded to the diachronic element in the process of a theory's development. (shrink)

The epistemic conception of scientific progress equates progress with accumulation of scientific knowledge. I argue that the epistemic conception fails to fully capture scientific progress: theoretical progress, in particular, can transcend scientific knowledge in important ways. Sometimes theoretical progress can be a matter of new theories ‘latching better onto unobservable reality’ in a way that need not be a matter of new knowledge. Recognising this further dimension of theoretical progress is particularly significant for understanding scientific realism, since realism is naturally (...) construed as the claim that science makes theoretical progress. Some prominent realist positions are best understood in terms of commitment to theoretical progress that cannot be equated with accumulation of scientific knowledge. (shrink)

The epistemic conception of scientific progress equates progress with accumulation of scientific knowledge. I argue that the epistemic conception fails to fully capture scientific progress: theoretical progress, in particular, can transcend scientific knowledge in important ways. Sometimes theoretical progress can be a matter of new theories ‘latching better onto unobservable reality’ in a way that need not be a matter of new knowledge. Recognising this further dimension of theoretical progress is particularly significant for understanding scientific realism, since realism is naturally (...) construed as the claim that science makes theoretical progress. Some prominent realist positions are best understood in terms of commitment to theoretical progress that cannot be equated with accumulation of scientific knowledge. (shrink)

This paper takes another look at a case study which has featured prominently in a variety of arguments for rival realist positions. After critically reviewing the previous commentaries of the theory shift that took place in the transition from Fresnel’s ether to Maxwell’s electromagnetic theory of optics, it will defend a slightly different reading of this historical case study. Central to this task is the notion of explanatory approximate truth, a concept which must be carefully analysed to begin with. With (...) this notion properly understood, it will be finally argued, the popular Fresnel-Maxwell case study points towards a novel formulation of scientific realism. (shrink)

The Pessimistic Induction from falsity of past theories forms a perennial argument against scientific realism. This paper considers and rebuts two recent arguments—due to Lewis (2001) and Lange (2002)—to the conclusion that the Pessimistic Induction (in its best known form) is fallacious. It re-establishes the dignity of the Pessimistic Induction by calling to mind the basic objective of the argument, and hence restores the propriety of the realist program of responding to PMI by undermining one or another of its premises.

I erect a framework within the semantic view of theories for explaining the empirical success of internally inconsistent models and theories, with scientific realism in mind. The framework is an instance of the ‘content-driven’ approach to inconsistency, advocated by both Norton (Philos Sci 54:327–350, 1987) and Smith (Stud Hist Philos Sci 19:429–445, 1988a, In: Fine A, Leplin J (eds) PSA1988, 1988b), whose ideas my analysis aims to clarify and substantiate.

I review prominent historical arguments against scientific realism to indicate how they display a systematic overshooting in the conclusions drawn from the historical evidence. The root of the overshooting can be located in some critical, undue presuppositions regarding realism. I will highlight these presuppositions in connection with both Laudan’s ‘Old induction’ and Stanford’s New induction, and then delineate a minimal realist view that does without the problematic presuppositions.

Semantic realism can be characterised as the idea that scientific theories are truth-bearers, and that they are true or false in virtue of the world. This notion is often assumed, but rarely discussed in the literature. I examine how it fares in the context of the semantic view of theories and in connection with the literature on scientific representation. Making sense of semantic realism requires specifying the conditions of application of theoretical models, even for models that are not actually used, (...) which leads to several difficulties. My conclusion is that semantic realism is far more demanding than one would expect. Finally, I briefly examine some pragmatist alternatives. (shrink)

Le réalisme structural est une tentative d’établir un compromis entre le réalisme scientifique et l’empirisme, en restreignant le réalisme à la structure relationnelle des théories scientifiques. Il se décline en deux versions, épistémique et ontique. Le réalisme structural ontique propose de concevoir les relations nomologiques décrites par les théories comme des éléments primitifs de la réalité. Il est motivé, notamment, par le fait que sous sa forme épistémique, le réalisme structural ne se distingue pas réellement d’une position empiriste. Cependant, il (...) fait face à des difficultés, en particulier pour différencier relations physiques et mathématiques et rendre compte de l’ancrage expérimental des théories. Il est possible d’établir un parallèle entre ces difficultés et le problème de la mesure en mécanique quantique, qui concerne lui aussi les rapports entre modèle théorique et expérience : on constate alors qu’un réalisme structural épistémique est plus à même d’y répondre. Une solution de compromis entre le réalisme structural ontique et le réalisme structural épistémique pourrait permettre de conserver les avantages des deux positions. -/- Structural realism attempts to make a compromise between scientific realism and empiricism, by restricting our realist commitment to the relational structure of scientific theories. There are two main versions of the position: ontic, or epistemic. According to ontic structural realism, the nomological relations expressed by theories are the primitive entities of reality. This ontic version is motivated in particular by arguments to the effect that epistemic versions are not really distinct from mere empiricism. However according to some authors, it’s not clear that ontic structural realism can differentiate between physical and mathematical relations, and account for the relations between scientific theories and their experimental basis. These difficulties can be related to the measurement problem in quantum mechanics, which also concerns the link between theoretical models and experiments. It appears that epistemic structural realism is in a better position to respond to these difficulties. A compromise between both versions of structural realism could allow us to keep the advantages of both. (shrink)

Naturalised realism’ is presented as a version of realism which is more compatible with the history of science than convergent or explanationist forms of realism. The account is unpacked according to four theses: 1) Whether realism is warranted with regards to a particular theory depends on the kind and quality of evidence available for that theory; 2) Reference is about causal interaction with the world; 3) Most of science happens somewhere in between instrumentalism and scientific realism on a continuum of (...) stances towards the status of theories; 4) The degree to which realism is warranted has something to do with the degree to which theories successfully refer, rather than with the truth of theories. (shrink)

In this article, against the background of a notion of ‘assembled’ truth, the evolutionary progressiveness of a theory is suggested as novel and promising explanation for the success of science. A new version of realism in science, referred to as ‘naturalised realism’ is outlined. Naturalised realism is ‘fallibilist’ in the unique sense that it captures and mimics the self-corrective core of scientific knowledge and its progress. It is argued that naturalised realism disarms Kyle Stanford’s anti-realist ‘new induction’ threats by showing (...) that ‘explanationism’ and his ‘epistemic instrumentalism’ are just two positions among many on a constantly evolving continuum of options between instrumentalism and full-blown realism. In particular it is demonstrated that not only can naturalised realism redefine the terms of realist debate in such a way that no talk of miracles need enter the debate, but it also promises interesting defenses against inductive- and under-determination-based anti-realist arguments. (shrink)

The global pessimistic meta-induction argues from the falsity of scientific theories accepted in the past to the likely falsity of currently accepted scientific theories. I contend that this argument commits a statistical error previously unmentioned in the literature and is self-undermining. I then compare the global pessimistic meta-induction to a local pessimistic meta-induction based on recent negative assessments of the reliability of medical research. If there is any future in drawing pessimistic conclusions from the history of science, it lies in (...) local meta-inductions, but these meta-inductions will not result in global distrust of the results of science. (shrink)