RÉSUMÉMalgré son usage très répandu, l'inférence à la meilleure explication a souvent été considérée avec suspicion par des théoriciens d'allégeances diverses. On lui a reproché à maintes reprises defaire reposer son recours à la simplicité et ses autres vertus explicatives sur des présuppositions métaphysiques douteuses. J'aborde ces questions, dans le présent article, dans le contexte d'une discussion large de l'usage de l'IME pour fonder notre croyance au monde extérieur. Distinguant entre la légitimité et l'efficacité de l'IME, je soutiendrai qu'elle constitue (...) bien une forme légitime d'inférence, mais que son efficacité dépend de la fonction de la théorie de la connaissance qui la supporte. (shrink)

The usefulness of models that describe the world lies in their simplicity relative to what they model. But simplification entails inaccuracy, so models should be treated as provisional. Nancy Cartwright's account of science as a modeling exercise, in which fundamental laws hold true only in theory—not in reality, given the complexities of the real world—suggests that Rational Choice Theory (RCT) should not be rejected on the traditional basis of its lack of realism: that, after all, is to be expected of (...) any simulacrum model. But when RCT has been extended to domains, such as politics, in which there is no necessary reason to expect systemic pressures against people who depart too far from the model, RCT is a simulacrum without any particular claim to expressing underlying causal laws. This cautions against the tendency to rest content with models and to treat their assumptions as if they were true. (shrink)

I consider the problem of extending Reichenbach's principle of the common cause to more than two events, vis-a-vis an example posed by Bernstein. It is argued that the only reasonable extension of Reichenbach's principle stands in conflict with a recent proposal due to Horwich. I also discuss prospects of the principle of the common cause in the light of these and other difficulties known in the literature and argue that a more viable version of the principle is the one provided (...) by Penrose and Percival (1962). (shrink)

Gothic cathedrals like Chartres were built in a discontinuous process by groups of masons using their own local knowledge, measures, and techniques. They had neither plans nor knowledge of structural mechanics. The success of the masons in building such large complex innovative structures lies in the use of templates, string, constructive geometry, and social organization to assemble a coherent whole from the messy heterogeneous practices of diverse groups of workers. Chartres resulted from the ad hoc accumulation of the work of (...) many men. (shrink)

This article argues that all knowledge is inherently local and that localness provides the basis for comparison between indigenous scientific traditions or knowledge production systems. As collective bodies of knowledge, many of the significant differences between knowledge production systems lie in the work involved in creating assemblages from differing practices. Much of the work can be seen in the social strategies and technical devices employed in creating equivalences and connections whereby otherwise heterogeneous and isolated knowledges are enabled to move in (...) space and time from the local site and moment of their production and application to other places and times. In this way contemporary technosciences are compared with the knowledge systems of the medieval mastermasons, the Anasazi, the Inca, the Australian Aborigines and the Pacific navigators. (shrink)

Traditionally, many arguments for realism about properties rely on a priori claims. The author argues that if we make use of an abductive principle that is commonly employed by scientific realists, a new argument for property realism can be formulated which is based firmly in scientific practice. The abductive principle says that we should believe in the existence of certain theoretical entities if they figure in the best explanation for what scientists observe. The scientific argument for property realism then says (...) that the best explanation for various behavioural patterns that physical scientists observe is that microscopic entities instantiate stable, causally efficacious properties. After presenting the argument, the author defends it against possible objections. More generally, the article provides a case study for how science and metaphysics can work together to generate ontological claims. (shrink)

RÉSUMÉ: La pragmatique et la sémantique de l’historiographie révèlent une fragmentation croissante qui s’étend par-delà les écoles jusqu’aux historiens individuels. Alors que les scientifiques normalisent les données pour qu’elles s’ajustent aux théories, les historiens interprètent leurs théories, de manières incompatibles entre elles, pour qu’elles s’ajustent aux différents cas historiques. Les difficultés qui en découlent dans la communication historiographique remettent en cause les philosophies herméneutiques de l’historiographie et redonnent un nouvel intérêt à la question d’une historiographie scientifique. Mais les réponses existantes (...) sont philosophiquement obsolètes. Une façon de reformuler le problème est de partir de la complexité du chaos et de l’unicité de l’histoire. Seule la science peut évaluer si les propriétés d’un domaine donné en interdisent une approche scientifique. Or la science s’étend par réductions méthodologiques explicatives, en ramenant des propriétés d’événements complexes, chaotiques et uniques, qui sont familières, mais d’un niveau plus élevé, à des propriétés ou interrelations non familières et d’un niveau moins élevé. La culture disciplinaire de l’historiographie, cependant, empêche le développement par essais et erreurs de telles tentatives de réductions scientifiques, qui seules permettraient d’évaluer les possibilités d’une historiographie scientifique, laquelle, dans la situation présente, relève de la science-fiction. (shrink)

Engineering is often said to be ‘scientific’, but the nature of knowledge in engineering is different to science. Engineering has a different ontological basis—its theories address different entities and are judged by different criteria. In this paper I use Popper’s three worlds ontological framework to propose a model of engineering theories, and provide an abstract logical view of engineering theories analogous to the deductive-nomological view of scientific theories. These models frame three key elements from definitions of engineering: requirements, designs of (...) artefacts, and theories for reasoning about how artefacts will meet requirements. In a subsequent paper I use this ontological basis to explore methodological issues in the growth of engineering knowledge from the perspective of critical rationalism. (shrink)

If mental anomalism is to be interpreted as a thesisunique to psychology, the anomalousness must begrounded in some feature unique to the mental,presumably its rational nature. While the ground forsuch arguments from normativity has been notoriouslyslippery terrain, there are two recently influentialstrategies which make the argument precise. The firstis to deny the possibility of psychophysical bridgelaws because of the different constitutive essences ofmental and physical laws, and the second is to arguethat mental anomalism follows from the uncodifiabilityof rationality. In this (...) paper I argue that bothstrategies fail – the latter because it conflates primafacie and all things considered rationality and theformer because it rests on a false premise, theprinciple of the rational character of belief. Idistinguish four different formulations of thisprinciple and argue that those formulations which areplausible cannot support the argument for mentalanomalism. (shrink)

The role of dispositions in the physical world is considered. It is shown that not only can classical physics be reasonably construed as the discovery of real dispositions, but also quantum physics. This approach moreover allows a realistic understanding of quantum processes.

The traditional way of thinking about science goes back to the corpuscular philosophy with its micro-reductive mechanism and metaphor of reading God's Book of Nature. This "story-1" with its rhetoric of exact truths contrasts with "story-2" which describes science as a continuation of the always imperfect powers of representation given to us by evolution. On story-2 reduction is one among other knowledge fashioning strategies and shares the imperfections of all human knowledge. When we appreciate that human knowledge always admits of (...) refinement, what appear as "emergent properties" no long seems mysterious. (shrink)

Various traditions in mental health care, such as phenomenological, and existential and cognitive-behavioral psychotherapy, implicitly or explicitly acknowledge that a disruption of the self, or the person, or the agent is among the common denominators of different mental disorders. They often emphasize the importance of understanding patients as reasonsresponsive, in their full mental health relevant complexity, if their mental disorder is to be treated successfully. The centrality of the concept of the self is not mirrored in the mainstream scientific approaches (...) in psychiatry however; the self has rarely been considered as the object of scientific research, the empirical investigation of which might yield successful explanations of and interventions in mental disorders. Thus, even though self-related phenomena are clinically relevant in so far as they give important information about a mental disorder to the clinician and help the development of effective interventions, they are not considered among the scientifically relevant properties of mental disorders. Leaving the self-related phenomena out of the scientific research on mental disorders can be attributed to the presupposition that the self is not empirically tractable and its use will hinder psychiatry’s goal to be scientific. In this paper, taking issue with this, I argue the self is empirically tractable, and its use as a target of research will not hinder psychiatry’s scientific commitments. (shrink)

This discussion paper describes the attempt of an imagined group of non-ecologists to determine the population growth rate from field data. The Modellers wrestle with the multiple definitions of the growth rate available in the literature and the fact that, in their modelling, it appears to be drastically model-dependent, which seems to throw into question the very concept itself. Specifically, they observe that six representative models used to capture the data produce growth-rate values, which differ significantly. Almost ready to concede (...) that the problem they set for themselves is ill-posed, they arrive at an alternative point of view that not only preserves the identity of the concept of the growth rate, but also helps discriminate between competing models for capturing the data. This is accomplished by assessing how robustly a given model is able to generate growth-rate values from randomized time-series data. This leads to the proposal of an iterative approach to ecological modelling in which the definition of theoretical concepts and model selection complement each other. The paper is based on high-quality field data of mites on apple trees and may be called a “data-driven opinion piece”. (shrink)

In this paper we focus on two claims, put forward by Feyerabend in his later writings , which constitute the metaphysical core of his view of scientific inquiry. The first, that we call the pliability thesis, is the claim that the world can be described by indefinitely many conceptual systems, none of them enjoying a privileged status. The second, that we call the resistance thesis, is the claim that the pliability of the world is limited, i.e., not all the different (...) conceptual systems that can be used to describe the world will be equally successful: the world offers resistance to some attempts to describe it. We show that, in spite of the later Feyerabend’s notorious antirealist leanings, the pliability thesis is fully compatible with a robustly realist view of science, and we suggest that, surprisingly, Feyerabend’s insights concerning the limited pliability of the world turn out to be those of a potential ally of sophisticated versions of scientific realism. (shrink)

This ‘untimely review’ of Hume’s Treatise is written as if the book had just been published. I use this fiction to argue that the Treatise is a more fundamental critique of the concept of reason than most readers have thought. Hume’s analysis of human reasoning is grounded in empirical psychology, in which he made significant discoveries. He presents a non-propositional theory of desires, in which choice can be neither rational nor irrational. He shows that the idea that reason has authority, (...) either in morality or science, has no substance. I argue that this critique remains valid and is not self-defeating. (shrink)

The goal of this paper is to present and defend an empiricist, neo-Hempelian account of scientific explanation as ampliative, specialized embedding. The proposal aims to preserve what I take to be the core of Hempel’s empiricist account, by weakening it in some respects and strengthening it in others, introducing two new conditions that solve most of Hempel’s problems without abandoning his empiricist strictures. According to this proposal, to explain a phenomenon is to make it expectable by introducing new conceptual/ontological machinery (...) and using special, and non-ad hoc, non-accidental regularities. The new conditions are elaborated making essential use of two central structuralist ideas, namely T-theoreticity and specialization. I first introduce and qualify the project, then present the new account in detail and assess it vis-à-vis its rivals, and finally discuss some possible objections, concluding that the account fares better than its monistic rivals and well enough to qualify as a promising neo-Hempelian account. Even for those unpersuaded by its monistic goals, it has the merit of calling attention to two new necessary conditions not explicitly emphasized thus far and showing how they serve to answer many of the criticisms addressed against Hempel’s account. (shrink)

Normality judgements are frequently used in everyday communication as well as in biological and social science. Moreover they became increasingly relevant to formal logic as part of defeasible reasoning. This paper distinguishes different kinds of normality statements. It is argued that normality laws like “Birds can normally fly” should be understood essentially in a statistical way. The argument has basically two parts: firstly, a statistical semantic core is mandatory for a descriptive reading of normality in order to explain the logical (...) features of normality laws. Secondly, a statistical justification of normality statements can be derived by game theoretic considerations if the normality law is understood as communication convention. (shrink)

What do the words "ceteris paribus" add to a causal hypothesis, that is, to a generalization that is intended to articulate the consequences of a causal mechanism? One answer, which looks almost too good to be true, is that a ceteris paribus hedge restricts the scope of the hypothesis to those cases where nothing undermines, interferes with, or undoes the effect of the mechanism in question, even if the hypothesis's own formulator is otherwise unable to specify fully what might constitute (...) such undermining or interference. I will propose a semantics for causal generalizations according to which ceteris paribus hedges deliver on this promise, because the truth conditions for a causal generalization depend in part on the—perhaps unknown—nature of the mechanism whose consequences it is intended to describe. It follows that the truth conditions for causal hypotheses are typically opaque to the very scientists who formulate and test them. (shrink)

Engineering deals with different problem situations than science, and theories in engineering are different to theories in science. So, the growth of knowledge in engineering is also different to that in science. Nonetheless, methodological issues in engineering epistemology can be explored by adapting frameworks already established in the philosophy of science. In this paper I use critical rationalism and Popper’s three worlds framework to investigate error elimination and the growth of knowledge in engineering. I discuss engineering failure arising from the (...) falsification of engineering theories, and present taxonomies of the sources of falsification and responses to falsification in engineering. From this I discuss contexts of research and design in engineering, ad hoc rescue of engineering theories, and engineering assurance. (shrink)

We show how more general knowledge can be built in information security, by the building of knowledge of mechanism clusters, some of which are multifield. By doing this, we address in a novel way the longstanding philosophical problem of how, if at all, we come to have knowledge that is in any way general, when we seem to be confined to particular experiences. We also address the issue of building knowledge of mechanisms by studying an area that is new to (...) the mechanisms literature: the methods of what we shall call mechanism discovery in information security. This domain offers a fascinating novel constellation of challenges for building more general knowledge. Specifically, the building of stable communicable mechanistic knowledge is impeded by the inherent changeability of software, which is deployed by malicious actors constantly changing how their software attacks, and also by an ineliminable secrecy concerning the details of attacks not just by attackers, but also by information security defenders as they protect their methods from both attackers and commercial competitors. We draw out ideas from the work of the mechanists Darden, Craver, and Glennan to yield an approach to how general knowledge of mechanisms can be painstakingly built. We then use three related examples of active research problems from information security to develop philosophical thinking about building general knowledge using mechanisms, and also apply this to develop insights for information security. We show that further study would be instructive both for practitioners and for philosophers. (shrink)

The paper focuses on interpreting ceteris paribus conditions as normal conditions. After discussing six basic problems for the explication of normal conditions and seven interpretations that do not well solve those problems I turn to what I call the epistemic account. According to it the normal is, roughly, the not unexpected. This is developed into a rigorous constructive account of normal conditions, which makes essential use of ranking theory and in particular allows to explain the phenomenon of multiply exceptional conditions. (...) Finally, this static account is extended to a schematic dynamic model of how we may learn about those normal and exceptional conditions. (shrink)

Debates on the metaphysics of science have steadily gained momentum over the last decade or so. This appears to illustrate a case of philosophers’ realisation that metaphysics—and theoretical philosophy overall—largely depends upon the sciences and has a good deal to learn from them. Recent literature on this, in fact, has reached an unforeseen high level of refinement in the arguments and a very much desirable precision in the consequences that we can derive from examining the interplay currently undergoing between science (...) and metaphysics. The editors of the volume under review have certainly done a great work by compiling some fruitful and novel contributions to our understanding of issues such as the aim and scope of the metaphysics of science, laws of nature, causation, and natural kinds, which are amongst the most heatedly discussed topics in the arena.The structure of the volume is as follows: “What is the metaphysics of science?” ; “Measurements, la .. (shrink)

Using the concept of purity to reflect on the relationship between chemical practice and the philosophy of science, this article considers the philosophical significance of the chemical manipulations that aim to purify or otherwise transform matter. Starting from a consideration of the nature and role of pure (or idealised) examples in philosophy of science, the article underlines the temptation towards abstraction and theory for both scientists and philosophers. The article goes on to argue that chemistry, despite its increasing theoretical sophistication, (...) is a science that remains particularly close to laboratory manipulations. This point is made in reference to the work of Gaston Bachelard on the production of purity and with the aid of historical examples, notably exploring the interplay between techniques of purification and the definition of elements, with special attention paid to Lavoisier’s definition of elements as the final limit of analysis. The closing section concerns the manufacture of steel from iron ore in the eighteenth century, illustrating this process using texts by Pierre-Joseph Macquer and Denis Diderot. Steel production is used to illustrate the kinds of philosophical question that are raised by paying attention to the details of chemical practice rather than jumping straight to chemical theory and also suggests how scientific theory can emerge from this practice itself. (shrink)

The ontology of medicine—the question of whether disease entities are real or not—is an underdeveloped area of philosophical inquiry. This essay explains the primary question at issue in medical ontology, discusses why answering this question is important from both a philosophical and a practical perspective, and argues that the problem of medical ontology is unique, i.e., distinct, from the ontological problems raised by other sciences and therefore requires its own analysis.

When is a law too idealized to be usefully applied to a specific situation? To answer this question, this essay considers a law in hydrogeology called Darcy''s Law, both as it is used in what is called the symmetric-cone model, and as it is used in equations to determine a well''s groundwater velocity and hydraulic conductivity. After discussing Darcy''s law and its applications, the essay concludes that this idealized law, as well as associated models and equations in hydrogeology, are not (...) realistic in the sense required by the D-N account. They exhibit what McMullin calls mathematical idealization, construct idealization, empirical-causal idealization, and subjunctive-causal idealization. Yet this lack of realism in hydrogeology is problematic for reasons unrelated to the status of the D-N account. These idealizations are also problematic in applied situations. Their problems require developing two supplemental criteria, necessary for their productive application. (shrink)

Modern insolubility proofs of the measurement problem in quantum mechanics not only differ in their complexity and degree of generality, but also reveal a lack of agreement concerning the fundamental question of what constitutes such a proof. A systematic reworking of the (incomplete) 1970 Fine theorem is presented, which is intended to go some way toward clarifying the issue.

It is undeniable that much scientific work is model-based. Despite this, the justification for this reliance on models is still controversial. A particular difficulty here is the fact that many scientific models are based on assumptions that do not describe the exact details of many or even any empirical situations very well. This raises the question of why it is that, despite their frequent lack of descriptive accuracy, employing models is scientifically useful.One..

, Pietroski and Rey ([1995]) suggested a reconstruction of ceteris paribus (CP)-laws, which — as they claim — saves CP-laws from vacuity. This discussion note is intended to show that, although Pietroski and Rey's reconstruction is an improvement in comparison to previous suggestions, it cannot avoid the result that CP-laws are almost vacuous. It is proved that if Cx is an arbitrary (nomological) event-type which has independently identifiable deterministic causes, then for every other (nomological) event-type Ax which is not strictly (...) connected with Cx or with ¬Cx, ‘CP if Ax then Cx’ satisfies the conditions of Pietroski and Rey for CP-laws. It is also shown that Pietroski and Rey's reconstruction presupposes the assumption of determinism. The conclusion points towards some alternatives to Piectroski and Rey's reconstruction. (shrink)

Normic Laws and the Significance of Nonmonotonic Reasoning for Philosophy of Science. Normic laws have the form ‘if A then normally B’. They have been discovered in the explanation debate, but were considered as empirically vacuous (§1). I argue that the prototypical (or ideal) normality of normic laws implies statistical normality (§2), whence normic laws have empirical content. In §3–4 I explain why reasoning from normic laws is nonmonotonic, and why the understanding of the individual case is so important here. (...) After sketching some foundations of nonmonotonic reasoning as developed by AI-researchers (§5), Iargue that normic laws are also the best way to understand ceteris paribus laws (§6). §7 deals with the difference between physical and non-physical disciplines and §9 with the difference between normicity and approximation. In §8 it is shown how nonmonotonic reasoning provides a new understanding of the protection of theories against falsification by auxiliary hypotheses. §10, finally, gives a system- and evolution-theoretical explanation of the deeper reason for the omnipresence of normic laws in practice and science, and forthe connection between ideal and statistical normality. (shrink)

Relationships of counterfactual dependence have played a major role in recent debates of explanation and understanding in the philosophy of science. Usually, counterfactual dependencies have been viewed as the explanantia of explanation, i.e., the things providing explanation and understanding. Sometimes, however, counterfactual dependencies are themselves the targets of explanations in science. These kinds of explanations are the focus of this paper. I argue that “micro-level model explanations” explain the particular form of the empirical regularity underlying a counterfactual dependency by representing (...) it as a physical necessity on the basis of postulated microscopic entities. By doing so, micro-level models rule out possible forms the regularity could have taken. Micro-model explanations, in other words, constrain empirical regularities and their associated counterfactual dependencies. I introduce and illustrate micro-level model explanations in detail, contrast them to other accounts of explanation, and consider potential problems. (shrink)

To believe is to possess a wide variety of dispositions pertinent to the proposition believed. Among those dispositions are self-ascriptive dispositions. Consequently, being disposed to self-ascribe belief that P is partly constitutive of believing that P. Such self-ascriptive dispositions can be underwritten by any of a variety of mechanisms, acting co-operatively or competitively. But since self-ascriptive dispositions are only partly constitutive of belief, there can be cases in which the self-ascriptive dispositions splinter away from the remaining dispositions. It is then (...) an empirical question how often our self-ascriptive dispositions diverge from the remaining dispositions constitutive of belief. The dispositions will tend to align reliably when possession of the belief in question is normatively neutral, straightforwardly connected to behavior, and most centrally manifested in explicit assertions or judgments. When these three conditions are not met, self-ascription, self-conscious avowal, sincere utterance, and explicit judgment will often diverge from the various other dispositions constitutive of belief. Even self-knowledge of explicit judgment can be problematic when we are attracted to half-empty forms of words or when we are not entirely persuaded of what we are saying. (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)

Why did Mill draw such a firm line between nature and society, and what did he mean by the claim that only permanent or necessary truths could be gleaned in nature? Why are the laws of production able to transcend the social realm and thereby attain a higher epistemological standing? Was Mill the first to make this distinction, or does it conform with a long tradition within the history of economic thought?

In this article, we provide a case study examining how integrative systems biologists build simulation models in the absence of a theoretical base. Lacking theoretical starting points, integrative systems biology researchers rely cognitively on the model-building process to disentangle and understand complex biochemical systems. They build simulations from the ground up in a nest-like fashion, by pulling together information and techniques from a variety of possible sources and experimenting with different structures in order to discover a stable, robust result. Finally, (...) we analyze the alternative role and meaning theory has in systems biology expressed as canonical template theories like Biochemical Systems Theory. (shrink)

This paper defends a unificationist theory of explanation. I first explore the notion of understanding entrenched by the unificationist. Then I present an overview of various kinds of causal statements and explanations. It is claimed that only genuine causal law statements have explanatory power. Finally, I attempt to fit causal explanations into the unificationist theory of explanation. In this way, I try to provide an account of how causal explanations provide understanding of the phenomena that they explain.

I explore a type of computational social simulation known as artificial societies. Artificial society simulations are dynamic models of real-world social phenomena. I explore the role that these simulations play in social explanation, by situating these simulations within contemporary philosophical work on explanation and on models. Many contemporary philosophers have argued that models provide causal explanations in science, and that models are necessary mediators between theory and data. I argue that artificial society simulations provide causal mechanistic explanations. I conclude that (...) in their current form, these simulations are based on methodologically individualist assumptions that could limit their potential scope of social explanation. (shrink)