'Volgens de Duitse denker Carl Schmitt is zonder vijandbeeld geen politiek mogelijk,' schreven Coen Simon en Frank Meester aan Arnon Grunberg. Zij vroegen hem Het begrip politiek van Carl Schmitt (1888-1985) te lezen om na te gaan wat hij ons nu nog te zeggen heeft. Hoeveel natiestaat hebben wij nodig? Hoeveel vijanden? Waartoe dient politiek? En is een samenleving zonder oorlog en geweld mogelijk? Aan de hand van Schmitt en denkers als Walter Benjamin en Jacques Derrida probeert (...) class='Hi'>Grunberg antwoord te geven op die vragen. 'Onze cultuur heeft de vegetarische slager voortgebracht en zal uiteindelijk ook de geweldloze oorlog produceren. Hoe die er precies uit zal zien is onduidelijk, maar Schmitts vermoeden dat die oorlog om de oorlog eens en voor altijd uit te roeien gruwelijk zal zijn lijkt me gerechtvaardigd,' aldus Grunberg. Maar ook stelt hij dat er geen rechtvaardigheid kan bestaan als het geweld wordt afgezworen. In Vriend & vijand legt Grunberg de vinger op zowel de zere plekken van de parlementaire democratie als de kritiek erop. Vrienden en vijanden van deze democratie mogen dit essay niet aan zich voorbij laten gaan"--Back cover. (shrink)

Evolutionary debunking arguments appeal to selective etiologies of human morality in an attempt to undermine moral realism. But is morality actually the product of evolution by natural selection? Although debunking arguments have attracted considerable attention in recent years, little of it has been devoted to whether the underlying evolutionary assumptions are credible. In this paper, we take a closer look at the evolutionary hypotheses put forward by two leading debunkers, namely Sharon Street and Richard Joyce. We raise a battery of (...) considerations, both empirical and theoretical, that combine to cast doubt on the plausibility of both hypotheses. We also suggest that it is unlikely that there is in the vicinity a plausible alternative hypothesis suitable for the debunker’s cause. (shrink)

According to doxastic accounts of trust, trusting a person to \(\varPhi \) involves, among other things, holding a belief about the trusted person: either the belief that the trusted person is trustworthy or the belief that she actually will \(\varPhi \) . In recent years, several philosophers have argued against doxastic accounts of trust. They have claimed that the phenomenology of trust suggests that rather than such a belief, trust involves some kind of non-doxastic mental attitude towards the trusted person, (...) or a non-doxastic disposition to rely upon her. This paper offers a new account of reasons for trust and employs the account to defend a doxastic account of trust. The paper argues that reasons for trust are preemptive reasons for action or belief. Thus the Razian concept of preemptive reasons, which arguably plays a key role in our understanding of relations of authority, is also central to our understanding of relations of trust. Furthermore, the paper argues that acceptance of a preemptive account of reasons for trust supports the adoption of a doxastic account of trust, for acceptance of such an account both neutralizes central objections to doxastic accounts of trust and provides independent reasons supporting a doxastic account. (shrink)

Modeling is an important scientific practice, yet it raises significant philosophical puzzles. Models are typically idealized, and they are often explored via imaginative engagement and at a certain “distance” from empirical reality. These features raise questions such as what models are and how they relate to the world. Recent years have seen a growing discussion of these issues, including a number of views that treat modeling in terms of indirect representation and analysis. Indirect views treat the model as a bona (...) fide object, specified by the modeler and used to represent and reason about some portion of the concrete empirical world. On some indirect views, model systems are abstract entities, such as mathematical structures, while on other views they are concrete hypothetical things. Here I assess these views and offer a novel account of models. I argue that regarding models as abstracta results in some significant tensions with the practice of modeling, especially in areas where non-mathematical models are common. Furthermore, viewing models as concrete hypotheticals raises difficult questions about model-world relations. The view I argue for treats models as direct, albeit simplified, representations of targets in the world. I close by suggesting a treatment of model-world relations that draws on a recent work by Stephen Yablo concerning the notion of partial truth. (shrink)

Recently, various philosophers have argued that we can obtain knowledge via the imagination. In particular, it has been suggested that we can come to know concrete, empirical matters of everyday significance by appropriately imagining relevant scenarios. Arguments for this thesis come in two main varieties: black box reliability arguments and constraints-based arguments. We suggest that both strategies are unsuccessful. Against black-box arguments, we point to evidence from empirical psychology, question a central case-study, and raise concerns about a (claimed) evolutionary rationale (...) for the imagination's reliability. Against the constraints-based account, we argue that to the extent that it works, this does not give rise to knowledge that is distinctively from the imagination. We conclude by suggesting that the imagination's role in raising possibilities, traditionally seen as part of the context of discovery, can in fact play a role in justification, including as a bulwark against certain sorts of skepticism. (shrink)

Many biological investigations are organized around a small group of species, often referred to as ‘model organisms’, such as the fruit fly Drosophila melanogaster. The terms ‘model’ and ‘modelling’ also occur in biology in association with mathematical and mechanistic theorizing, as in the Lotka–Volterra model of predator-prey dynamics. What is the relation between theoretical models and model organisms? Are these models in the same sense? We offer an account on which the two practices are shown to have different epistemic characters. (...) Theoretical modelling is grounded in explicit and known analogies between model and target. By contrast, inferences from model organisms are empirical extrapolations. Often such extrapolation is based on shared ancestry, sometimes in conjunction with other empirical information. One implication is that such inferences are unique to biology, whereas theoretical models are common across many disciplines. We close by discussing the diversity of uses to which model organisms are put, suggesting how these relate to our overall account. 1 Introduction2 Volterra and Theoretical Modelling3 Drosophila as a Model Organism4 Generalizing from Work on Model Organisms5 Phylogenetic Inference and Model Organisms6 Further Roles of Model Organisms6.1 Preparative experimentation6.2 Model organisms as paradigms6.3 Model organisms as theoretical models6.4 Inspiration for engineers6.5 Anchoring a research community7 Conclusion. (shrink)

Idealization and abstraction are central concepts in the philosophy of science and in science itself. My goal in this paper is suggest an account of these concepts, building on and refining an existing view due to Jones Idealization XII: correcting the model. Idealization and abstraction in the sciences, vol 86. Rodopi, Amsterdam, pp 173–217, 2005) and Godfrey-Smith Mapping the future of biology: evolving concepts and theories. Springer, Berlin, 2009). On this line of thought, abstraction—which I call, for reasons to be (...) explained, abstractness—involves the omission of detail, whereas idealization consists in a deliberate mismatch between a description and the world. I will suggest that while the core idea underlying these authors’ view is correct, they make several assumptions and stipulations that are best avoided. For one thing, they tie abstractness too close to truth. For another, they do not allow sufficient room to the difference between idealization and error. Taking these points into account leads to a refined account of the distinction, in which abstractness is seen in terms of relative richness of detail, and idealization is seen as closely connected with the knowledge and intentions of idealizers. I lay out these accounts in turn, and then discuss the relationship between the two concepts, and several other upshots of the present way of construing the distinction. (shrink)

The argument from inductive risk (AIR) states that scientists should consider the consequences of hypotheses and methodological choices in the course of ongoing research. It has played a central role in the widespread retreat from the ideal of value-free science. The argument is motivated, to a significant extent, by the laudable concern to use science to better society. I argue that this concern, when taken seriously, tells against the idea that individual working scientists should consider social consequences. First, I show (...) that the AIR assigns scientists a striking task: to frame social decisions and assess their full spectrum of consequences. Then, I argue that scientists should not be assigned such a task. For one thing, if both scientists and policy makers take social consequences into account, we are liable to end up with skewed and biased decisions. For another, scientists are not well-placed to carry out social decision making. I conclude by indicating a context in which the inductive risk line has more force, and by highlighting the importance, in discussing values in science, of attending to units and levels of analysis. (shrink)

Proponents of mechanistic explanation all acknowledge the importance of organization. But they have also tended to emphasize specificity with respect to parts and operations in mechanisms. We argue that in understanding one important mode of organization—patterns of causal connectivity—a successful explanatory strategy abstracts from the specifics of the mechanism and invokes tools such as those of graph theory to explain how mechanisms with a particular mode of connectivity will behave. We discuss the connection between organization, abstraction, and mechanistic explanation and (...) illustrate our claims by looking at an example from recent research on so-called network motifs. (shrink)

A number of philosophers draw a close analogy between scientific modeling and fiction, often appealing to Kendall Walton’s make-believe view. I assess the models-fictions analogy from a cognitive a...

One fundamental divide among philosophers studying the nature of trust concerns the relation between trust and belief. According to doxastic accounts of trust, trust entails a belief about the trustee: either the belief that she is trustworthy with respect to what she is trusted to do, or that she will do what she is trusted to do. Non-doxastic accounts deny that trusting entails holding such a belief. The chapter describes and evaluates the main considerations which have been cited for and (...) against doxastic accounts of trust. It argues that a preemptive reasons account of trust neutralizes some of the key objections to doxastic accounts, and that considerations favoring a doxastic account appear to be stronger than those favoring non-doxastic accounts. The chapter also suggests that the debate about the nature of trust, and the mental state required for trusting can benefit from linking it with the debate about the value of trust. (shrink)

Modest pessimism about philosophical progress is the view that while philosophy may sometimes make some progress, philosophy has made, and can be expected to make, only very little progress (where the extent of philosophical progress is typically judged against progress in the hard sciences). The paper argues against recent attempts to defend this view on the basis of the pervasiveness of disagreement within philosophy. The argument from disagreement for modest pessimism assumes a teleological conception of progress, according to which the (...) attainment of true answers to the big philosophical questions, or knowledge of them, is the primary goal of philosophy. The paper argues that this assumption involves a misconception of the goal of philosophy: if philosophy has a primary goal, its goal is the understanding of philosophical problems rather than knowledge of answers to philosophical questions. Moreover, it is argued that if the primary goal of philosophy is such understanding, then widespread disagreement within philosophy does not indicate that philosophy makes little progress. (shrink)

We suggest two precise abstract definitions of the notion of ‘relevance logic’ which are both independent of any proof system or semantics. We show that according to the simpler one, R → source is the minimal relevance logic, but R itself is not. In contrast, R and many other logics are relevance logics according to the second definition, while all fragments of linear logic are not.

This chapter gives an account of epistemic trust. It argues that trust in general is a matter of declining to take precautions against the trustee’s failing to come through, and that this amounts in the epistemic case to declining to rely on evidence for the testified proposition, instead relying solely on the testifier. But if this is so, how can trust play a positive role in securing knowledge? The key, it is argued, lies in recognizing that trust is preemptive: Trusting (...) someone entails believing that she is trustworthy, and this belief preempts other evidence about whether she will come through. In other words, this belief gives the truster himself a good reason to desist from relying on evidence other than the trustee’s word. But if trust is preemptive, how is it compatible with epistemic responsibility, which seems to involve relying on your own evidence? Because, it is claimed, preempting your own evidence in favor of the testifier’s say-so enables your belief to be supported by her evidence – which, we may assume, is superior to your own. Far from forfeiting epistemic responsibility, then, epistemic trust on the preemptive account gives you justificatory access to a swathe of evidence that you would not otherwise have had. (shrink)

Within the planning discourse two poles have materialised over the last decades: a participatory ideal guided by substantive rationality, opposed to an algorithmic governmentality subordinated to instrumental reason. This rift within socialist thought is also observable when it comes to the discovery of needs. The paper understands this discovery procedure primarily as a forecasting problem and demonstrates how many authors dedicated to a participatory planning process call for consumers to write down their desires in the form of wish lists. As (...) a response to this epistemically questionable discovery procedure, the state of the art in capitalist demand-forecasting at enterprises like Amazon is presented, where machine-learning algorithms excel at modelling interrelated time series on a global level by extrapolating demand patterns in real-time. The paper closes with a proposal to reconfigure this predictive apparatus for socialist ends and raises questions concerned with the political implications of centralising decision-making in black-box algorithms. (shrink)

I distinguish three theses associated with the new mechanistic philosophy – concerning causation, explanation and scientific methodology. Advocates of each thesis are identified and relationships among them are outlined. I then look at some recent work on natural selection and mechanisms. There, attention to different kinds of New Mechanism significantly affects of what is at stake.

Hermann Weyl was one of the greatest mathematicians of the 20th century, with contributions to many branches of mathematics and physics. In 1918 he wrote a famous book, “Das Kontinuum”, on the foundations of mathematics. In that book he described mathematical analysis as a ‘house built on sand’, and tried to ‘replace this shifting foundation with pillars of enduring strength’. In this paper we reexamine and explain the philosophical and mathematical ideas that underly Weyl’s system in “Das Kontinuum”, and show (...) that they are still useful and relevant. We propose a precise formalization of that system, which is the first to be completely faithful to what is written in the book. Finally, we suggest that a certain set-theoretical modern system reflects better Weyl’s ideas than previous attempts (most notably by Feferman) of achieving this goal. (shrink)

A logic \ is called self-extensional if it allows to replace occurrences of a formula by occurrences of an \-equivalent one in the context of claims about logical consequence and logical validity. It is known that no three-valued paraconsistent logic which has an implication can be self-extensional. In this paper we show that in contrast, the famous Dunn–Belnap four-valued logic has exactly one self-extensional four-valued extension which has an implication. We also investigate the main properties of this logic, determine the (...) expressive power of its language, and provide a cut-free Gentzen-type proof system for it. (shrink)

we also provide an efficient algorithm for recovering this data. We then illustrate the ideas in a diagnostic system for checking faulty circuits. The underlying formalism is..

One of the most signi cant drawbacks of classical logic is its being useless in the presence of an inconsistency. Nevertheless, the classical calculus is a very convenient framework to work with. In this work we propose means for drawing conclusions from systems that are based on classical logic, although the informationmightbe inconsistent. The idea is to detect those parts of the knowledge-base that \cause" the inconsistency, and isolate the parts that are \recoverable". We do this by temporarily switching into (...) Ginsberg/Fitting multi-valued framework of bilattices (which is a common framework for logic programmingand nonmonotonic reasoning). Our method is conservative in the sense that it considers the contradictory data as useless and regards all the remaining information una ected. The resulting logic is nonmonotonic, paraconsistent, and a plausibility logic in the sense of Lehmann. (shrink)

This festschrift volume is dedicated to Boris (Boaz) Trakhtenbrot on the occasion of his 85th birthday. For over half a century, Trakhtenbrot has been making seminal contributions to virtually all of the central areas of theoretical computer science. He is universally admired as a founding father and long-standing pillar of the discipline of computer science. On Friday, 28 April 2006, the School of Computer Science at Tel Aviv University held a “Computation Day Celebrating Boaz (Boris) Trakhtenbrot's Eighty-Fifth Birthday”. As a (...) follow-up to that event, his students and colleagues were asked to contribute to a volume in his honor and in recognition of his grand contributions to the field. The book opens with two historical overviews and a bibliography. These are followed by 33 thoroughly reviewed technical contributions. The broad range of topics covered include mathematical logic, logics for computer science, mathematics for computer science, automata and formal languages, asynchronous computation, semantics of programming languages, verification, and software engineering. This tapestry of subjects stands as testimony to the vast scope of Trakhtenbrot's achievements and the profound influence he has had on the field. (shrink)

In diesem Aufsatz frage ich, ob Klang jemals Nicht-Klangliches zum In- halt haben kann beziehungsweise darstellen kann. Denn diese philoso- phisch bearbeitbare Frage liegt der Frage, die die Konferenz stellt – wie Klang Träger und Ausdruck von Historischem sein kann – zu Grunde. Ich unterscheide zwischen der Bedeutung und dem Inhalt eines Klangs oder eines Sound-Datums.2 Ebenso unterscheide ich zwischen einem Klanginhalt, der beabsichtigt ist, und einem Klanginhalt, der sich ab- sichtslos darstellt. Ich frage, welche Art von Sound-Datum für die (...) Ge- schichtsschreibung, deren Hauptquelle klangliche Materialien sind, be- sonders wertvoll ist. (shrink)

We construct a framework of two-dimensional (2D) semantics for predicate-functor languages with operation symbols and free variables. We show how the satisfaction conditions (at a world) of predicates are determined by their meaning specifications (at the same world or at a different one).

To-day economics is considered the most highly developed discipline among the social sciences. Yet, its explanatory and predictive powers are admitted by all hands to be weak compared to those possessed by the physical sciences. This weakness is still frequently explained by apologetic references to the relatively tender age of economic science. This apparently implies that in the normal course of time economics will grow up and achieve the stature and powers of say, physics. The trouble with this argument is (...) that economics is certainly as old as physics. If it lags behind other disciplines in predictive and explanatory powers, lack of time cannot be the cause. (shrink)

I offer a defense, albeit a qualified one, of machine analogies in biology, focusing on molecular contexts. The defense is rooted in prior work (Levy 2014), which construes the machine machine-likeness of a system as a matter of the extent to which it exhibits an internal division of labor. A concrete aim is to shore up the notion of molecular biological machines, and I’ll pay special attention to processive molecular motors, such as Kinesin. But I will also try to show (...) how the division of labor account gives us guidance more broadly, both about where and why machine analogies can be expected to prove helpful and about their limitations. (shrink)

On many science-related policy questions, the public is unable to make informed decisions, because of its inability to make use of knowledge obtained by scientists. Philip Kitcher and James Fishkin have both suggested therefore that on certain science-related issues, public policy should not be decided on by actual democratic vote, but should instead conform to the public’s counterfactual informed democratic decision. Indeed, this suggestion underlies Kitcher’s specification of an ideal of a well-ordered science. This article argues that this suggestion misconstrues (...) the normative significance of CIDDs. At most, CIDDs might have epistemic significance, but no authority or legitimizing force. (shrink)

Within the contemporary epistemology of testimony, it is widely assumed that testimonial scepticism can be dismissed without engaging with possible reasons or arguments supporting the view. This assumption of dismissibility both underlies the debate between reductionist and non-reductionist views of testimony and is responsible for the neglect of testimonial scepticism within contemporary epistemology. This paper argues that even given liberal assumptions about what may constitute valid grounds for the dismissal of a sceptical view, the assumption that testimonial scepticism is dismissible (...) should be rejected. For even if familiar sceptical positions and scepticism about testimonial justification can be dismissed on such grounds, scepticism about testimonial knowledge cannot. (shrink)

Moral realism is often taken to have common sense and initial appearances on its side. Indeed, by some lights, common sense and initial appearances underlie all the central positive arguments for moral realism. We offer a kind of debunking argument, taking aim at realism’s common sense standing. Our argument differs from familiar debunking moves both in its empirical assumptions and in how it targets the realist position. We argue that if natural selection explains the objective phenomenology of moral deliberation and (...) judgement, then this undermines arguments from that phenomenology. This results in a simpler, and in some ways more direct, challenge to realism. It is also less vulnerable to the main objections that have been leveled against such arguments. If accepted, our conclusion should make a real difference to the dialectic in this area. It means that neither realism nor its denial is the default, to-be-refuted, position. (shrink)

Many have expected that understanding the evolution of norms should, in some way, bear on our first-order normative outlook: How norms evolve should shape which norms we accept. But recent philosophy has not done much to shore up this expectation. Most existing discussions of evolution and norms either jump headlong into the is/ought gap or else target meta-ethical issues, such as the objectivity of norms. My aim in this paper is to sketch a different way in which evolutionary considerations can (...) feed into normative thinking—focusing on stability. I will discuss two forms of argument that utilize information about social stability drawn from evolutionary models, and employs it to assess claims in political philosophy. One such argument treats stability as feature of social states that may be taken into account alongside other features. The other uses stability as a constraint on the realization of social ideals, via a version of the ought-implies-can maxim. These forms of argument are not new; indeed they have a history going back at least to early modern philosophy. But their marriage with evolutionary information is relatively recent, has a significantly novel character, and has received little attention in recent moral and political philosophy. (shrink)

Some philosophers of science – the present author included – appeal to fiction as an interpretation of the practice of modeling. This raises the specter of an incompatibility with realism, since fiction-making is essentially non-truth-regulated. I argue that the prima facie conflict can be resolved in two ways, each involving a distinct notion of fiction and a corresponding formulation of realism. The main goal of the paper is to describe these two packages. Toward the end I comment on how to (...) choose among them. (shrink)

The paper discusses Linda Zagzebski's account of epistemic authority. Building on Joseph Raz's account of political authority, Zagzebski argues that the basic contours of epistemic authority match those Raz ascribes to political authority. This, it is argued, is a mistake. Zagzebski is correct in identifying the pre-emptive nature of reasons provided by an authority as central to our understanding of epistemic authority. However, Zagzebski ignores important differences between practical and epistemic authority. As a result, her attempt to explain the rationality (...) of belief on authority by applying an analogue of Raz's Normal Justification Thesis to the domain of belief fails. A successful explanation of the rationality of belief on authority will need to be attuned to the differences between political and epistemic authorities. (shrink)

In this article, Arnon explores the link between implicit learning, statistical learning and language development. She focuses on two central themes, namely the issue of age invariance and the question of variation in learning outcomes. Arnon suggests that the two literatures are studying a fundamentally similar phenomenon and argues in favor of a closer alignment. However, she also raises important methodological concerns.

The Hodgkin–Huxley (HH) model of the action potential is a theoretical pillar of modern neurobiology. In a number of recent publications, Carl Craver ([2006], [2007], [2008]) has argued that the model is explanatorily deficient because it does not reveal enough about underlying molecular mechanisms. I offer an alternative picture of the HH model, according to which it deliberately abstracts from molecular specifics. By doing so, the model explains whole-cell behaviour as the product of a mass of underlying low-level events. The (...) issue goes beyond cellular neurobiology, for the strategy of abstraction exhibited in the HH case is found in a range of biological contexts. I discuss why it has been largely neglected by advocates of the mechanist approach to explanation. 1 Introduction2 A Primer on the HH Model2.1 The basic qualitative picture2.2 The quantitative model3 Interlude: What Did Hodgkin and Huxley Think?4 Craver’s View4.1 Mechanistic explanation4.2 Sketches4.3 Craver's view: The HH model as a mechanism sketch5 An Alternative View of the HH Model5.1 Another look at the equations5.2 The discrete-gating picture5.3 The road paved by Hodgkin and Huxley5.4 Summary and comparison to Craver6 Conclusion: The HH Model and Mechanistic Explanation6.1 Sketches and abstractions6.2 Why has aggregative abstraction been overlooked? (shrink)

What must laypersons understand about science to allow them to make sound decisions on science-related issues? Relying on recent developments in social epistemology, this paper argues that scientific education should have the goal not of bringing laypersons' understanding of science closer to that of expert insiders, but rather of cultivating the kind of competence characteristic of “competent outsiders” (Feinstein 2011). Moreover, it argues that philosophers of science have an important role to play in attempts to promote this kind of understanding, (...) but that to successfully fulfill this role, they will have to approach central questions in the field differently. (shrink)

This book looks at the role of the imagination in science, from both philosophical and psychological perspectives. These contributions combine to provide a comprehensive and exciting picture of this under-explored subject.

I present an account of what it is to trust a speaker, and argue that the account can explain the common intuitions which structure the debate about the transmission view of testimony. According to the suggested account, to trust a speaker is to grant her epistemic authority on the asserted proposition, and hence to see her opinion as issuing a second order, preemptive reason for believing the proposition. The account explains the intuitive appeal of the basic principle associated with the (...) transmission view of testimony: the principle according to which, a listener can normally obtain testimonial knowledge that p by believing a speaker who testifies that p only if the speaker knows that p. It also explains a common response to counterexamples to this principle: that these counterexamples do not involve normal cases of testimonial knowledge. (shrink)

Accounts of mechanistic explanation, especially as applied to biology and sometimes going under the heading of “new mechanism,” provided an attractive alternative to nomological accounts that preceded them. These accounts were motivated by selected examples, drawn primarily from cell and molecular biology and neuroscience. However, the range of examples that scientists take to be mechanistic explanations is far broader. We focus on examples that differ from those traditionally recruited by Mechanists. Our contention is that attention to additional examples will lead (...) to a richer conception of mechanistic explanation, prompting a shift from what we refer to as Mechanism 1.0 to Mechanism 2.0. (shrink)

Science has multiple goals: to describe the world, as it is now; to predict the future and to make inferences about the past. But science also aims to understand the world - to explain why it is the way it is. But what does it take to explain a phenomenon? What philosophical questions are at stake? In this thorough and clearly written introduction to scientific explanation, Arnon Levy explores the following problems and questions: the background to the topic of (...) scientific explanation, particularly the questions of what an explanation is, what makes a good explanation and why seek them in the first place empiricism about explanation: Hempel's Deductive-Nomological model and criticisms of Hempel's theory unificationism about explanation: are good scientific explanations those fit into an overall 'explanatory store'? causation and explanation: Salmon's 'statistical relevance' and 'mark transmission' arguments causation and explanation: Lewis's description-based model, Woodward's interventionist view and Strevens's criterion of selection theory connections between explanation and understanding non-scientific explanation: metaphysics. Additional features, such as chapter summaries, suggestions for further reading and a glossary make this an excellent resource for students of philosophy of science, metaphysics and philosophy of psychology. (shrink)

To a large extent, the evidential base of claims in the philosophy of science has switched from thought experiments to case studies. We argue that abandoning thought experiments was a wrong turn, since they can effectively complement case studies. We make our argument via an analogy with the relationship between experiments and observations within science. Just as experiments and ‘natural’ observations can together evidence claims in science, each mitigating the downsides of the other, so too can thought experiments and case (...) studies be mutually supporting. After presenting the main argument, we look at potential concerns about thought experiments, suggesting that a judiciously applied mixed-methods approach can overcome them. (shrink)

ABSTRACTExperimentation is traditionally considered a privileged means of confirmation. However, why and how experiments form a better confirmatory source relative to other strategies is unclear, and recent discussions have identified experiments with various modeling strategies on the one hand, and with ‘natural’ experiments on the other hand. We argue that experiments aiming to test theories are best understood as controlled investigations of specimens. ‘Control’ involves repeated, fine-grained causal manipulation of focal properties. This capacity generates rich knowledge of the object investigated. (...) ‘Specimenhood’ involves possessing relevant properties given the investigative target and the hypothesis in question. Specimens are thus representative members of a class of systems, to which a hypothesis refers. It is in virtue of both control and specimenhood that experiments provide powerful confirmatory evidence. This explains the distinctive power of experiments: although modelers exert extensive control, they do not exert this control over specimens; although natural experiments utilize specimens, control is diminished. (shrink)

In a recent article, Steel, Buchak and Eyal (SBE) argue that current levels of uncertainty do not present a good reason to bar controlled human infection (CHI) trials of COVID-19 vaccines from proceeding. We argue that their argumentation for this conclusion is flawed. SBE are mistaken about the effects which different forms of ignorance have on participants’ ability to provide valid informed consent. Decision-makers considering whether to allow such trials, we argue, must ultimately consider the likelihood that consent to participation (...) in such trials under current conditions would be valid, and whether this likelihood is high enough to permit such trials. This is a question that SBE completely ignore. We conclude that there indeed are valid concerns about conducting CHI trials given the current state of knowledge about COVID-19, concerns which SBE fail to address. (shrink)

Science and fiction seem to lie at opposite ends of the cognitive-epistemic spectrum. The former is typically seen as the study of hard, real-world facts in a rigorous manner. The latter is treated as an instrument of play and recreation, dealing in figments of the imagination. Initial appearances notwithstanding, several central features of scientific modeling in fact suggest a close connection with the imagination and recent philosophers have developed detailed accounts of models that treat them, in one way or another, (...) as akin to fictions. This chapter will critically discuss the fictions approach as an epistemology of scientific modeling. (shrink)