Experimental philosophers have discovered a large number of asymmetries in our intuitions about philosophically significant notions. Often those intuitions turned out to be sensitive to normative factors. Whereas optimists have insisted on a unified explanation of these findings, pessimists have argued that it is impossible to formulate a single factor explanation. I defend the intermediate position according to which unification is possible to some extent, but should be pursued within limits. The key issue that I address is how it (...) is possible to set such limits in a way that is true to the phenomena. (shrink)

This paper brings together results from the philosophy and the psychology of explanation to argue that there are multiple concepts of explanation in human psychology. Specifically, it is shown that pluralism about explanation coheres with the multiplicity of models of explanation available in the philosophy of science, and it is supported by evidence from the psychology of explanatory judgment. Focusing on the case of a norm of explanatory power, the paper concludes by responding to the worry (...) that if there is a plurality of concepts of explanation, one will not be able to normatively evaluate what counts as good explanation. (shrink)

How does experimental philosophy address philosophical questions and problems? That is: What projects does experimental philosophy pursue? What is their philosophical relevance? And what empirical methods do they employ? Answers to these questions will reveal how experimental philosophy can contribute to the longstanding ambition of placing philosophy on the ‘secure path of a science’, as Kant put it. We argue that experimental philosophy has introduced a new methodological perspective – a ‘meta-philosophical (...) naturalism’ that addresses philosophical questions about a phenomenon by empirically investigating how people think about this phenomenon. This chapter asks how this novel perspective can be successfully implemented: How can the empirical investigation of how people think about something address genuinely philosophical problems? And what methods – and, specifically, what methods beyond the questionnaire – can this investigation employ? We first review core projects of experimental philosophy and raise the question of their philosophical relevance. For ambitious answers, we turn to experimental philosophy’s most direct historical precursor, mid-20th century ordinary language philosophy, and discuss empirical implementations of two of its research programmes that use experimental methods from psycholinguistics and corpus methods from the digital humanities. (shrink)

Ancient Greek philosophers claimed that the adequate understanding of a particular subject can be achieved only when its nature, or essence, is properly defined. This view furnished the core teachings of late medieval natural philosophers, and was often reaffirmed by early modern philosophers such as Bacon and Descartes. Yet during the second half of the seventeenth century, a radical transformation was to take place that led a to the emergence of a recognisably modern cultures of empirical research.Experimental Philosophy (...) and the Birth of Empirical Science focuses on the works of Robert Boyle, John Locke, and Isaac Newton, the most notable exponents of the experimental philosophy in the late seventeenth century, and explores this transformation to a modern viewpoint that seeks to understand phenomena by seeking explanatory correlations between the empirical properties of the universe.Experimental Philosophy and the Birth of Empirical Science offers a novel solution to one of the major problems in the history of early modern science and philosophy, while addressing received views concerning these problems. It provides a new perspective on the Scientific Revolution and the rise of modern science and offers new tools for science studies in general, by showing how the problem of human understanding and the problem of explanation are central to the evolution of science, and how we can combine historical and sociological approaches to study modern science from this perspective. (shrink)

Formal epistemology is just what it sounds like: epistemology done with formal tools. Coinciding with the general rise in popularity of experimental philosophy, formal epistemologists have begun to apply experimental methods in their own work. In this entry, I survey some of the work at the intersection of formal and experimental epistemology. I show that experimental methods have unique roles to play when epistemology is done formally, and I highlight some ways in which results from (...) formal epistemology have been used fruitfully to advance epistemically‐relevant experimental work. The upshot of this brief, incomplete survey is that formal and experimental methods often constitute mutually informative means to epistemological ends. (shrink)

Philosophy of Experimental Biology explores some central philosophical issues concerning scientific research in experimental biology, including genetics, biochemistry, molecular biology, developmental biology, neurobiology, and microbiology. It seeks to make sense of the explanatory strategies, concepts, ways of reasoning, approaches to discovery and problem solving, tools, models and experimental systems deployed by scientific life science researchers and also integrates developments in historical scholarship, in particular the New Experimentalism. It concludes that historical explanations of scientific change that (...) are based on local laboratory practice need to be supplemented with an account of the epistemic norms and standards that are operative in science. This book should be of interest to philosophers and historians of science as well as to scientists. (shrink)

The development of modern science, as everybody knows, has come largely through naturalizing domains of inquiry that were historically parts of philosophy. Theories based on mere speculation about matters empirical, such as Aristotle‟s view about teleology in nature, were replaced with law-based, predictive explanatory theories that invoked empirical data as supporting evidence. Although philosophers have, by and large, applauded such developments, inquiry into normative domains presents a different set of problems, and there is no consensus about whether such (...) an inquiry can be naturalized. Since the early twentieth century, attempts at naturalizing ethics have been at the center of heated debates, and later attempts at naturalizing epistemology triggered similarly contentious disputes. In ethics, of course, it was not only the Humean and Moorean arguments of early nonnaturalists and noncognitivists that raised doubts about naturalism, but also the arguments of nihilists, who later joined the chorus of criticism, rejecting any ontology that would countenance moral properties and facts. In epistemology, Quinean eliminativism brought reactions that questioned the consistency of naturalism and asked whether it could accommodate the normativity of fundamental epistemic notions such as belief and knowledge. There have so far been no similarly substantial reactions to attempts at naturalizing inquiry into another normative domain, that of reasoning. We hope to remedy that by offering 1 here a response to some recent efforts by experimental philosophers. Experimentalism about reasoning is a radical naturalistic program that rejects reflective-equilibrium accounts of the epistemic grounds for the rules of inference. If we ignore other attempts at justifying those rules a priori by, for instance, appeal to self-evidence, then those invoking Goodmanian reflective equilibrium can be considered the standard analytic accounts (hereafter, „SAA‟). Of concern here is an objection to SAA, the cognitive-diversity argument,1 that is part of a broader experimentalist critique of analytic epistemology.. (shrink)

Questions about phenomenology’s role in non-philosophical disciplines gained renewed attention. While we claim that phenomenology makes indispensable, unique contributions to different domains of scientific practice such as concept formation, experimental design, and data collection, we also contend that when it comes to explanation, phenomenological approaches face a dilemma. Either phenomenological attempts to explain conscious phenomena do not satisfy a central constraint on explanations, i.e. the asymmetry between explanans and explanandum, or they satisfy this explanatory asymmetry only by largely (...) merging with non-phenomenological explanation types. The consequence of this dilemma is that insofar as phenomenological approaches are explanatory, they do not provide an own type of explanation. We substantiate our two claims by offering three case studies of phenomenologically inspired experiments in cognitive science. Each case study points out a specific phenomenological contribution to experimental practice while also illustrating how phenomenological approaches face the explanatory dilemma we outline. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Inductive Scepticism and Experimental Reasoning in Moral Subjects in Hume's Philosophy Anne Jaap Jacobson According to its title page, Hume's Treatise Concerning HumanNature is An ATTEMPT to introduce the experimental Method ofReasoning INTO MORAL SUBJECTS."1 And from the first section onwards, Hume makes statements about the human mind which are given an unqualified generality;An Enquiry ConcerningHuman Understanding is marked by a similar assurance that much about (...) human understanding can be known. Because of this, exegesis which attributes to Hume an unrestrained scepticism about the experimental method appears to attribute to him inconsistency on such a scale as to render the interpretation itselfquestionable. Nonetheless, there is, atleast on the face ofit, considerable justification for ascribing to Hume just such a scepticism. In this paper I explore sceptical features, some ofthem important but little noticed, in Hume's treatment of causality and our beliefs about the unobserved. Though I end by suggestinghow to avoidviewing Hume in this area as simply lamentably inconsistent, Hume's use of the experimental method doesremain problematic, as, I suggest, Hume himselfthought. The first three of the following sections in this paper treat connected themes in Hume's philosophy which, when taken together, present us with a very sceptical view of experimental reasoning. I. Necessity as projected impression Hume holds that our beliefs about causality in the objects are in large part the result of a projection of an internal impression of (some kind of) necessity. The thesis ofprojection is not entirely straightforward; to see this, let us ask the question, is the impression which is projected semantically simple or complex? There are excellentreasonsforregarding the impression as simple as Hume conceives of "simple" in this context. Hume himselfappears to sayitis simple (E 64, n. 1). Andmuch of Hume's discussion ofnecessity is driven by the principle that there can be no idea without a preceding impression, and this principle applies only to simple ideas. But the consequent reading is far from satisfactory. To see the problem, let us look at what seems to be the Volume XV Number 2 325 ANNE JAAP JACOBSON most entrenched understanding ofHume, one perhaps amark ofKemp Smith's influence. This is the view that Hume is saying that the impression source of our idea of necessity is a feeling of anticipation. The problem is this: ifa feeling ofanticipation is a simple impression, it is not at all clear that the impression can do the job Hume has for it. Remember that if the impression is in content itselfrelational, then it is not a simple impression on Hume's own account, since ideas of relations are for him complex (T 13). Hence, we might take the impression to be of the sort described by Stroud, according to whom the impression yielding our idea of necessity is semantically unrelated to the elements of the relation. But such a reading robs Hume of the explanatory position he so clearly thinks he has. If we have a semantically simple impression it becomes a mystery why the spreading has the effects that it does: when we transfer the determination ofthe thought to external objects, andsuppose any real intelligible connexion betwixt them. (T 168, my emphasis) Why does spreading some simple, indefinable feeling result in our supposing there is a real intelligible connection between the objects on which the mind has spread? To get this result it looks as though the mind will have tomake two mistakes: thefirstmistake is the spreading, and the second mistake consists in the mind's inferring from the experience of the impression as spread that somehow the causal inference itself is also out there in nature as an intelligible connection. But, while Hume does sometimes seem to suggest we make this sort of two-step error (T 223, for example), such a picture makes it seem that the impression spread is not really the semantic source of (that is, wholly determinate of the content of) our idea ofnecessity. Rather, on the two-step error model, our belief that there are connections enters as a result of an inference following upon the spreading; however, for Hume, an inference is not the way an impression ofX gives rise to an idea ofX... (shrink)

If successful scientific inquiry is to be possible, there must be a world that is independent of how we believe it to be, and in which there are kinds and laws; and we must have the sensory apparatus to perceive particular things and events, and the capacity to represent them, to form generalized explanatory conjectures, and check how these conjectures stand up to further experience. Whether these preconditions are met is not a question the sciences can answer; it is (...) specifically philosophical. This is why the myriad forms of scientistic philosophy in vogue today (neurophilosophy, experimental philosophy, naturalized metaphysics, evangelical-atheist reductionism, etc), are all hollow at the core. Does this mean we must return to the old, a priori analytic model? No! What is needed instead is scientific philosophy in the sense Peirce articulated more than a century ago: philosophy motivated by a genuine desire to discover the truth, and relying not solely on reason but also on experience—only not the special, recherché experience required by the sciences, but close attention to aspects of everyday experience so familiar we hardly notice them. (shrink)

This chapter contains sections titled: The Problem Perceptual Consciousness and Action: Experimental Dissociations and Commonsense Connections Awareness of Intentions and Action Initiation References.

Both philosophers and psychologists have argued for the existence of distinct kinds of explanations, including teleological explanations that cite functions or goals, and mechanistic explanations that cite causal mechanisms. Theories of causation, in contrast, have generally been unitary, with dominant theories focusing either on counterfactual dependence or on physical connections. This paper argues that both approaches to causation are psychologically real, with different modes of explanation promoting judgments more or less consistent with each approach. Two sets of experiments isolate the (...) contributions of counterfactual dependence and physical connections in causal ascriptions involving events with people, artifacts, or biological traits, and manipulate whether the events are construed teleologically or mechanistically. The findings suggest that when events are construed teleologically, causal ascriptions are sensitive to counterfactual dependence and relatively insensitive to the presence of physical connections, but when events are construed mechanistically, causal ascriptions are sensitive to both counterfactual dependence and physical connections. The conclusion introduces an account of causation, an "exportable dependence theory," that provides a way to understand the contributions of physical connections and teleology in terms of the functions of causal ascriptions. (shrink)

The question of how judgments of explanatory value inform probabilistic inference is well studied within psychology and philosophy. Less studied are the questions: How does probabilistic information affect judgments of explanatory value? Does probabilistic information take precedence over causal information in determining explanatory judgments? To answer these questions, we conducted two experimental studies. In Study 1, we found that probabilistic information had a negligible impact on explanatory judgments of event-types with a potentially unlimited number (...) of available, alternative explanations; causal credibility was the main determinant of explanatory value. In Study 2, we found that, for event-token explanations with a definite set of candidate alternatives, probabilistic information strongly affected judgments of explanatory value. In the light of these findings, we reassess under which circumstances explanatory inference is probabilistically sound. (shrink)

There is an ongoing controversy in philosophy about the connection between explanation and inference. According to Bayesians, explanatory considerations should be given weight in determining which inferences to make, if at all, only insofar as doing so is compatible with Strict Conditionalization. Explanationists, on the other hand, hold that explanatory considerations can be relevant to the question of how much confidence to invest in our hypotheses in ways which violate Strict Conditionalization. The controversy has focused on normative (...) issues. This paper investigates experimentally the descriptive question of whether judgments of the explanatory goodness of hypotheses do play a role when people revise their degrees of belief in those hypotheses upon the receipt of new evidence. We present the results of three experiments that together strongly support the predictive superiority of the explanationist position. (shrink)

ABSTRACT Even though there is a general agreement among the scholars concerning the relationship between Hume and experimental philosophy, yet important disagreements prevail regarding the subject of the “science of human nature,” as well as the reasons that ground the introduction of the experimental method into moral subjects, and the way in which Hume does it. Our aim is to shed some light into these three items in order to specify the sense in which Hume’s experimentalism should (...) be understood. Regarding the first one, we maintain that the science of human nature not only deals with the study of the mind but also with human interaction within society through the course of history. Concerning the second one, we consider that there is a common ontological ground to moral and natural phenomena, because both fall into what Hume calls ‘matters of fact.’ This, in turn is what enables him to apply the same research method to both. In order to clarify the third item, we will delve into the central role that is given to facts, which Hume understands as epistemically relevant events, which are handled through explanatory reduction, Finally, we will show through some examples how Hume uses the method. (shrink)

Evolutionary systems biology (ESB) aims to integrate methods from systems biology and evolutionary biology to go beyond the current limitations in both fields. This article clarifies some conceptual difficulties of this integration project, and shows how they can be overcome. The main challenge we consider involves the integration of evolutionary biology with developmental dynamics, illustrated with two examples. First, we examine historical tensions between efforts to define general evolutionary principles and articulation of detailed mechanistic explanations of specific traits. Next, these (...) tensions are further clarified by considering a recent case from another field focused on developmental dynamics: stem cell biology. In the stem cell case, incompatible explanatory aims block integration. Experimental approaches aim at mechanistic explanation while dynamical system models offer explanation in terms of general principles. We then discuss an ESB case in which integration succeeds: search for general attractors using a dynamical systems framework synergizes with the experimental search for detailed mechanisms. Contrasts between the positive and negative cases suggest general lessons for achieving an integrated understanding of developmental and evolutionary dynamics. The key integrative move is to acknowledge two complementary aims, both relevant to explanation: identifying the space of possible dynamic states and trajectories, and mechanistic understanding of causal interactions underlying a specific phenomenon of interest. These two aims can support one another in a joint project characterizing dynamic aspects of evolving lineages. This more inclusive project can lead to insights that cannot be reached by either approach in isolation. (shrink)

Philosophy and Neuroscience: A Ruthlessly Reductive Account is the first book-length treatment of philosophical issues and implications in current cellular and molecular neuroscience. John Bickle articulates a philosophical justification for investigating "lower level" neuroscientific research and describes a set of experimental details that have recently yielded the reduction of memory consolidation to the molecular mechanisms of long-term potentiation (LTP). These empirical details suggest answers to recent philosophical disputes over the nature and possibility of psycho-neural scientific reduction, including the (...) multiple realization challenge, mental causation, and relations across explanatory levels. Bickle concludes by examining recent work in cellular neuroscience pertaining to features of conscious experience, including the cellular basis of working memory, the effects of explicit selective attention on single-cell activity in visual cortex, and sensory experiences induced by cortical microstimulation. (shrink)

This article examines the role of experimental generalizations and physical laws in neuroscientific explanations, using Hodgkin and Huxley’s electrophysiological model from 1952 as a test case. I show that the fact that the model was partly fitted to experimental data did not affect its explanatory status, nor did the false mechanistic assumptions made by Hodgkin and Huxley. The model satisfies two important criteria of explanatory status: it contains invariant generalizations and it is modular (both in James (...) Woodward’s sense). Further, I argue that there is a sense in which the explanatory heteronomy thesis holds true for this case. †To contact the author, please write to: SNF‐Professorship for Philosophy of Science, University of Basel, Missionsstrasse 21, 4003 Basel, Switzerland; e‐mail: [email protected]. (shrink)

Studies in experimental philosophy claim to document intuition variation. Some studies focus on demographic group-variation; Colaçoet al., for example, claim that age generates intuition variation regarding knowledge attribution in a fake-barn scenario. Other studies claim to show intuition variation when comparing the intuition of philosophers to that of non-philosophers. The main focus has been on documenting intuition variation rather than uncovering what underlying factor(s) may prompt such a phenomenon. We explore a number of suggested explanatory hypotheses put (...) forth by Colaçoet al., as well as an attempt to test Sosa's claim that intuition variance is a result of people ‘filling in the details’ of a thought experiment differently from one another. We show (i) that people respond consistently across conditions aimed at ‘filling in the details’ of thought experiments, (ii) that risk attitude does not seem relevant to knowledge ascription, (iii) that people's knowledge ascriptions do not vary due to views about defeasibility of knowledge. Yet, (iv) we find no grounds to reject that a large proportion of people appear to adhere to so-called subjectivism about knowledge, which may explain why they generally have intuitions about the fake-barn scenario that vary from those of philosophers. (shrink)

Recently, in attempting to account for explanatory reasoning in probabilistic terms, Bayesians have proposed several measures of the degree to which a hypothesis explains a given set of facts. These candidate measures of "explanatory power" are shown to have interesting normative interpretations and consequences. What has not yet been investigated, however, is whether any of these measures are also descriptive of people’s actual explanatory judgments. Here, I present my own experimental work investigating this question. I argue (...) that one measure in particular is an accurate descriptor of explanatory judgments. Then, I discuss some interesting implications of this result for both the epistemology and the psychology of explanatory reasoning. (shrink)

Studies in experimental philosophy claim to document intuition variation. Some studies focus on demographic group-variation; Colaço et al., for example, claim that age generates intuition variation regarding knowledge attribution in a fake-barn scenario. Other studies claim to show intuition variation when comparing the intuition of philosophers to that of non-philosophers. The main focus has been on documenting intuition variation rather than uncovering what underlying factor(s) may prompt such a phenomenon. We explore a number of suggested explanatory hypotheses (...) put forth by Colaço et al., as well as an attempt to test Sosa's claim that intuition variance is a result of people ‘filling in the details’ of a thought experiment differently from one another. We show (i) that people respond consistently across conditions aimed at ‘filling in the details’ of thought experiments, (ii) that risk attitude does not seem relevant to knowledge ascription, (iii) that people's knowledge ascriptions do not vary due to views about defeasibility of knowledge. Yet, (iv) we find no grounds to reject that a large proportion of people appear to adhere to so-called subjectivism about knowledge, which may explain why they generally have intuitions about the fake-barn scenario that vary from those of philosophers. (shrink)

In this paper, we develop and refine the idea that understanding is a species of explanatory knowledge. Specifically, we defend the idea that S understands why p if and only if S knows that p, and, for some q, S’s true belief that q correctly explains p is produced/maintained by reliable explanatory evaluation. We then show how this model explains the reception of James Bjorken’s explanation of scaling by the broader physics community in the late 1960s and early (...) 1970s. The historical episode is interesting because Bjorken’s explanation initially did not provide understanding to other physicists, but was subsequently deemed intelligible when Feynman provided a physical interpretation that led to experimental tests that vindicated Bjorken’s model. Finally, we argue that other philosophical models of scientific understanding are best construed as limiting cases of our more general model. (shrink)

I attempt to characterize the relationship of classical experimental embryology (CEE) and molecular developmental biology and compare it to the much-discussed case of classical genetics. These sciences are treated here as discovery practices rather than as definitive forms of knowledge. I first show that CEE had some causal knowledge and hence was able to answer specific why?-questions. A paradigm was provided by the case of eye induction, perhaps CEE’s greatest success. The case of the famous Spemann-Mangold organizer is more (...) difficult. I argue that before the advent of molecular biology, knowledge of its causal role in development was very limited. As a result, there was no functional definition of the concept of organizer. I argue that, like the classical gene concept, it is best viewed as an operational concept. This means that an account of reduction such as Kim’s functional reduction, which is still a mainstay in scientific metaphysics, cannot work in these cases. Nonetheless, again like in the classical gene case, the operational concepts of CEE played an important heuristic role in the discovery of molecules involved in morphogenesis and cell differentiation. This was made possible by what I call inter-level investigative practices. These are practices that combine experimental manipulations targeting two (or more) different levels. I conclude that the two sciences are more closely related via their experimental practices than by any inter-level explanatory relations. (shrink)

In this paper I argue that we can best make sense of the practice of experimental evolutionary biology if we see it as investigating contingent, rather than lawlike, regularities. This understanding is contrasted with the experimental practice of certain areas of physics. However, this presents a problem for those who accept the Logical Positivist conception of law and its essential role in scientific explanation. I address this problem by arguing that the contingent regularities of evolutionary biology have a (...) limited range of nomic necessity and a limited range of explanatory power even though they lack the unlimited projectibility that has been seen by some as a hallmark of scientific laws. (shrink)

In “Flagpoles anyone? Causal and explanatory asymmetries”, James Woodward supplements his celebrated interventionist account of causation and explanation with a set of new ideas about causal and explanatory asymmetries, which he extracts from some cutting-edge methods for causal discovery from observational data. Among other things, Woodward draws interesting connections between observational causal discovery and interventionist themes that are inspired in the first place by experimental causal discovery, alluding to a sort of unity between observational and experimental (...) causal discovery. In this paper, I make explicit what I take to be the implicated unity. Like experimental causal discovery, observational causal discovery also relies on interventions, albeit interventions that are not carried out by investigators and hence need to be detected as part of the inference. The observational patterns appealed to in observational causal discovery are not only surrogates for would-be interventions, as Woodward sometimes puts it; they also serve to mark relevant interventions that actually happen in the data generating process. (shrink)

The contemporary epistemic status of mental health disciplines does not allow the cross validation of mental disorders among various genetic markers, biochemical pathway or mechanisms, and clinical assessments in neuroscience explanations. We attempt to provide a meta-empirical analysis of the contemporary status of the cross-disciplinary issues existing between neuro-biology and psychopathology. Our case studies take as an established medical mode an example cross validation between biological sciences and clinical cardiology in the case of myocardial infarction. This is then contrasted with (...) the incoherence between neuroscience and psychiatry in the case of bipolar disorders. We examine some methodological problems arising from the neuro-imaging studies, specifically the experimental paradigm introduced by the team of Wayne Drevets. Several theoretical objections are raised: temporal discordance, state independence, and queries about the reliability and specificity, and failure of convergent validity of the inter-disciplinary attempt. Both modern neuroscience and clinical psychology taken as separate fields have failed to reveal the explanatory mechanisms underlying mental disorders. The data acquired inside the mono-disciplinary matrices of neurobiology and psychopathology are deeply insufficient concerning their validity, reliability, and utility. Further, there haven’t been developed any effective trans-disciplinary connections between them. It raises the requirement for development of explanatory significant multi-disciplinary “meta-language” in psychiatry (Berrios, 2006, 2008). We attempt to provide a novel conceptual model for an integrative dialogue between psychiatry and neuroscience that actually includes criteria for cross-validation of the common used psychiatric categories and the different assessment methods. The major goal of our proactive program is the foundation of complementary “bridging” connections of neuroscience and psychopathology which may stabilize the cognitive meta-structure of the mental health knowledge. This entails bringing into synergy the disparate discourses of clinical psychology and neuroscience. One possible model accomplishment of this goal would be the synergistic (or at least compatible) integration of the knowledge under trans-disciplinary convergent cross-validation of the commonly used methods and notions. (shrink)

The history of developmental biology is interwoven with debates as to whether mechanistic explanations of development are possible or whether alternative explanatory principles or even vital forces need to be assumed. In particular, the demonstrated ability of embryonic cells to tune their developmental fate precisely to their relative position and the overall size of the embryo was once thought to be inexplicable in mechanistic terms. Taking a causal perspective, this Element examines to what extent and how developmental biology, having (...) turned molecular about four decades ago, has been able to meet the vitalist challenge. It focuses not only on the nature of explanations but also on the usefulness of causal knowledge – including the knowledge of classical experimental embryology – for further scientific discovery. It also shows how this causal perspective allows us to understand the nature and significance of some key concepts, including organizer, signal and morphogen. This title is also available as Open Access on Cambridge Core. (shrink)

Philosophy, in its traditional guise, addresses questions where experimental science has not yet nailed down plausible explanatory theories. Thus, the ancient Greeks pondered the nature of life, the sun, and tides, but also how we learn and make decisions. The history of science can be seen as a gradual process whereby speculative philosophy cedes intellectual space to increasingly wellgrounded experimental disciplines—first astronomy, but followed by physics, chemistry, geology, biology, archaeology, and more recently, ethology, psychology, and (...) neuroscience. Science now encompasses plausible theories in many domains, including large-scale theories about the cosmos, life, matter, and energy. The mind’s turn has now come. The classical ‘‘mind’’ questions center on free will, the self, consciousness, how thoughts can have meaning and ‘‘aboutness,’’ and how we learn and use knowledge. All these matters interlace with questions about morality: where values come from, the roles of reason and emotion in choice, and the wherefore of responsibility and punishment. The vintage mind/body problem is a legacy of Descartes: if the mind is a completely nonphysical substance, as he thought, how can it interact causally with the physical brain? Since the weight of evidence indicates that mental processes actually are processes of the brain, Descartes’ problem has disappeared. The classical mind/ body problem has been replaced with a range of questions: what brain mechanisms explain learning, decision making, self-deception, and so on. The replacement for ‘‘the mind-body problem’’ is not a single problem; it is the vast research program of cognitive neuroscience. The dominant methodology of philosophy of mind and morals in the twentieth.. (shrink)

The challenge from religious diversity is widely thought to be one of the most important challenges facing religious belief. Despite this consensus, however, many epistemologists think that standard versions of the challenge fail because they threaten to implicate many seemingly reasonable yet highly controversial non-religious beliefs. In light of this we develop an alternative, less discussed, diversity challenge that does not generalize. This challenge concerns why so much religious diversity exists in the first place given common religious, and in particular (...) theistic, views. Although there are some interesting scientific explanations of such diversity, satisfying theistic explanations of its existence are still required. (shrink)

Molecular biologists exploit information conveyed by mechanistic models for experimental purposes. In this article, I make sense of this aspect of biological practice by developing Keller’s idea of the distinction between ‘models of’ and ‘models for’. ‘Models of (phenomena)’ should be understood as models representing phenomena and are valuable if they explain phenomena. ‘Models for (manipulating phenomena)’ are new types of material manipulations and are important not because of their explanatory force, but because of the interventionist strategies they (...) afford. This is a distinction between aspects of the same model. In molecular biology, models may be treated either as ‘models of’ or as ‘models for’. By analysing the discovery and characterization of restriction–modification systems and their exploitation for DNA cloning and mapping, I identify the differences between treating a model as a ‘model of’ or as a ‘model for’. These lie in the cognitive disposition of the modeller towards the model: a modeller will look at a model as a ‘model of’ if interested in its explanatory force, or as a ‘model for’ if interested in the material manipulations it can possibly afford. (shrink)

This is the first chapter of a book that I'm writing entitled Kantsequentialism: A Morality of Ends. The chapter has six sections: (1) The Distinction between a Moral Theory and a Complete Account of Morality, (2) The Best Explanation, (3) Fitting the Data as Opposed to the Facts, (4) Epistemic Justification and Phenomenal Conservatism, (5) Neither Overfitting nor Underfitting the Data, and (6) Trusting Our Moral Intuitions. Thus, the chapter begins by providing an account of what a moral theory is (...) and how that differs from a complete account of morality. It then argues that there are only four explanatory virtues: modesty, coherence, unifying power, and predictive power. Thus, it argues that simplicity is not itself a virtue. It explains how it's important for a theory to avoid either overfitting or underfitting the data. The chapter then explains that the data for our philosophical theories are our intuitions (which are intellectual seemings), and it defends phenomenal conservatism -- the view that we are justified in believing that things are as they seem unless and until grounds for doubt arise. Lastly, it responds to worries about the trustworthiness of our moral intuitions stemming from both experimental philosophy and evolutionary debunking arguments. (shrink)

Medicine in a Neurocentric World: About the Explanatory Power of Neuroscientific Models in Medical Research and Practice Content Type Journal Article Category Editorial Notes Pages 307-313 DOI 10.1007/s12376-009-0036-2 Authors Lara Huber, University Medical Center of the Johannes Gutenberg University Mainz Institute for History, Philosophy and Ethics of Medicine Am Pulverturm 13 55131 Mainz Germany Lara K. Kutschenko, University Medical Center of the Johannes Gutenberg University Mainz Institute for History, Philosophy and Ethics of Medicine Am Pulverturm 13 55131 (...) Mainz Germany Journal Medicine Studies Online ISSN 1876-4541 Print ISSN 1876-4533 Journal Volume Volume 1 Journal Issue Volume 1, Number 4. (shrink)

Contents Preface General Introduction 1 | Science and Pseudoscience Introduction Karl Popper, Science: Conjectures and Refutations Thomas S. Kuhn, Logic of Discovery or Psychology of Research? Imre Lakatos, Science and Pseudoscience Paul R. Thagard, Why Astrology Is a Pseudoscience Michael Ruse, Creation-Science Is Not Science Larry Laudan, Commentary: Science at the Bar---Causes for Concern Commentary 2 | Rationality, Objectivity, and Values in Science Introduction Thomas S. Kuhn, The Nature and Necessity of Scientific Revolutions Thomas S. Kuhn, Objectivity, Value Judgment, and (...) Theory Choice Ernan McMullin, Rationality and Paradigm Change in Science Larry Laudan, Kuhn’s Critique of Methodology Helen E. Longino, Values and Objectivity Kathleen Okruhlik, Gender and the Biological Sciences Commentary 3 | The Duhem-Quine Thesis and Underdetermination Introduction Pierre Duhem, Physical Theory and Experiment W. V. Quine, Two Dogmas of Empiricism Donald Gillies, The Duhem Thesis and the Quine Thesis Larry Laudan, Demystifying Underdetermination *Colin Howson and Peter Urbach, The Duhem Problem Commentary 4 | Induction, Prediction, and Evidence Introduction Peter Lipton, Induction Karl Popper, The Problem of Induction Wesley C. Salmon, Rational Prediction Carl G. Hempel, Criteria of Confirmation and Acceptability Peter Achinstein, Explanation v. Prediction: Which Carries More Weight? *Nelson Goodman, The New Riddle of Induction Commentary 5 | Confirmation and Relevance: Bayesian Approaches Introduction Wesley C. Salmon, Rationality and Objectivity in Science *Deborah G. Mayo, A Critique of Salmon’s Bayesian Way *Alan Chalmers, The Bayesian Approach Paul Horwich, Therapeutic Bayesianism Commentary 6 | Models of Explanation Introduction Rudolf Carnap, The Value of Laws: Explanation and Prediction Carl G. Hempel, Two Basic Types of Scientific Explanation Carl G. Hempel, The Thesis of Structural Identity Carl G. Hempel, Inductive-Statistical Explanation Peter Railton, A Deductive-Nomological Model of Probabilistic Explanation *Philip Kitcher, Explanatory Unification *James Woodward, The Manipulability Conception of Causal Explanation Commentary 7 | Laws of Nature Introduction A. J. Ayer, What Is a Law of Nature? Fred I. Dretske, Laws of Nature D. H. Mellor, Necessities and Universals in Natural Laws Nancy Cartwright, Do the Laws of Physics State the Facts? Commentary 8 | Intertheoretic Reduction Introduction Ernest Nagel, Issues in the Logic of Reductive Explanations Paul K. Feyerabend, How to Be a Good Empiricist *Jerry A. Fodor, Special Sciences Philip Kitcher, 1953 and All That: A Tale of Two Sciences Commentary 9 | Empiricism and Scientific Realism Introduction Grover Maxwell, The Ontological Status of Theoretical Entities Bas C. van Fraassen, Arguments Concerning Scientific Realism Alan Musgrave, Realism versus Constructive Empiricism Larry Laudan, A Confutation of Convergent Realism *Juha T. Saatsi, On the Pessimistic Induction and Two Fallacies Ian Hacking, Experimentation and Scientific Realism David B. Resnik, Hacking’s Experimental Realism *Martin Carrier, What Is Right with the Miracle Argument Arthur Fine, The Natural Ontological Attitude Alan Musgrave, NOA’s Ark---Fine for Realism Commentary Glossary Bibliography Name Index Subject Index. (shrink)

Microaggressions are, roughly, acts or states of affairs that express prejudice or neglect toward members of oppressed groups in relatively subtle ways. There is an apparent consensus among both proponents and critics of the microaggression concept that microaggressions are “subjective.” We examine what subjectivity amounts to in this context and argue against this consensus. We distinguish between microaggressions as an explanatory posit and microaggressions as a hermeneutical tool, arguing that in either case there is no reason at present to (...) regard microaggressions as subjective and that microaggressions in the hermeneutical sense should be regarded as objective. (shrink)

The most immediate reason why chemists are unenthusiastic about the philosophy of science is the historic hostility of important philosophers, to the concept of atoms. (Without atoms, discovery in chemistry would have proceeded with glacial slowness, if at all, in the last 200 years.) Other important reasons include the anti-realist influence of the philosophical dogmas of logical positivism, instrumentalism, of strict empiricism. Though (as has been said) these doctrines have recently gone out of fashion, they are still very influential.A (...) diagram of the methodology of experimental research is proposed, in the form of a flow sheet, with feedback. The model is developed as a multi-level expansion of a diagram of the hypothetico-deductive model. It recognizes that strong mutual support, or interlocking, of research endeavors is important, at the underlying level or levels where explanatory causation contributes to scientific understanding. (Mutual support at the laboratory level is generally weak or trivial.) The multiplicity of explanatory levels, and the interlocking, point to solutions to some well-known problems, such as the origin of the hypotheses, and even a resolution to the underdetermination problem. (shrink)

The most immediate reason why chemists are unenthusiastic about the philosophy of science is the historic hostility of important philosophers, to the concept of atoms. (Without atoms, discovery in chemistry would have proceeded with glacial slowness, if at all, in the last 200 years.) Other important reasons include the anti-realist influence of the philosophical dogmas of logical positivism, instrumentalism, of strict empiricism. Though (as has been said) these doctrines have recently gone out of fashion, they are still very influential.A (...) diagram of the methodology of experimental research is proposed, in the form of a flow sheet, with feedback. The model is developed as a multi-level expansion of a diagram of the hypothetico-deductive model. It recognizes that strong mutual support, or interlocking, of research endeavors is important, at the underlying level of levels where explanatory causation contributes to scientific understanding. (Mutual support at the laboratory level is generally weak or trivial.) The multiplicity of explanatory levels, and the interlocking, point to solutions to some well-known problems, such as the origin of the hypotheses, and even a resolution to the underdetermination problem. (shrink)

The most immediate reason why chemists are unenthusiastic about the philosophy of science is the historic hostility of important philosophers, to the concept of atoms. (Without atoms, discovery in chemistry would have proceeded with glacial slowness, if at all, in the last 200 years.) Other important reasons include the anti-realist influence of the philosophical dogmas of logical positivism, instrumentalism, of strict empiricism. Though (as has been said) these doctrines have recently gone out of fashion, they are still very influential.A (...) diagram of the methodology of experimental research is proposed, in the form of a flow sheet, with feedback. The model is developed as a multi-level expansion of a diagram of the hypothetico-deductive model. It recognizes that strong mutual support, or interlocking, of research endeavors is important, at the underlying level or levels where explanatory causation contributes to scientific understanding. (Mutual support at the laboratory level is generally weak or trivial.) The multiplicity of explanatory levels, and the interlocking, point to solutions to some well-known problems, such as the origin of the hypotheses, and even a resolution to the underdetermination problem. (shrink)

Experimental Philosophy: Volume 2 contains fourteen articles -- thirteen previously published and one new -- that reflect the fast-moving changes in the field over the last five years. The field of experimental philosophy is one of the most innovative and exciting parts of the current philosophical landscape; it has also engendered controversy. Proponents argue that philosophers should employ empirical research, including the methods of experimental psychology, to buttress their philosophical claims. Rather than armchair theorizing, (...) class='Hi'>experimental philosophers should go into the field to research how people actually think and reason. In a sense this is a return to a view of philosophy as the progenitor of psychology: inherently concerned with the human condition, with no limits to its scope or methods. In the course of the last decade, many experimental philosophers have overturned assumptions about how people think in the real world. This volume provides an essential guide to the most influential recent work on this vital and exciting area of philosophical research. (shrink)

The topic is experimental philosophy as a naturalistic movement, and its bearing on the value of intuitions in philosophy. This paper explores first how the movement might bear on philosophy more generally, and how it might amount to something novel and promising. Then it turns to one accomplishment repeatedly claimed for it already: namely, the discrediting of armchair intuitions as used in philosophy.

Bayesian cognitive science is a research programme that relies on modelling resources from Bayesian statistics for studying and understanding mind, brain, and behaviour. Conceiving of mental capacities as computing solutions to inductive problems, Bayesian cognitive scientists develop probabilistic models of mental capacities and evaluate their adequacy based on behavioural and neural data generated by humans (or other cognitive agents) performing a pertinent task. The overarching goal is to identify the mathematical principles, algorithmic procedures, and causal mechanisms that enable cognitive agents (...) to take uncertainty into account and weigh it appropriately in producing adaptive behaviour. -/- The appeal of Bayesian cognitive science derives from its transparency, normativity, and unifying power. Resources from Bayesian statistics allow cognitive scientists to characterise transparently, in terms of random variables and probabilistic dependencies between them, the inductive problems that many mental capacities are presumed to solve. Given this characterisation, researchers can define an upper bound on one’s performance on that problem and use it as a benchmark for interpreting experimental results, formulating hypotheses about why and when deviations from optimal performance should be expected, and seeking explanations of mental capacities within one encompassing theoretical framework. -/- Although critics question the testability, explanatory power, and plausibility of Bayesian models of mental capacities, Bayesian cognitive science has proved itself to be an incredibly fruitful research programme. Fuelled by empirical and theoretical results from psychology, neuroscience, philosophy, computer science, artificial intelligence, and evolution, Bayesian cognitive science has: advanced our understanding of why cognitive systems should keep track of uncertainty and use it to facilitate adaptive behaviour; clarified how the brain might encode information about the uncertainty of its stimuli and perform computations with probability distributions; and crystallised the insight that cognitive agents’ management of uncertainty might be grounded in predictive processes aimed at avoiding surprising exchanges with the environment. (shrink)

Many experimental philosophers are philosophers by training and professional affiliation, but some best work in experimental philosophy has been done by people who do not have advanced degrees in philosophy and do not teach in philosophy departments. This chapter explains that the experimental philosophy is the empirical investigation of philosophical intuitions, the factors that affect them, and the psychological and neurological mechanisms that underlie them. It explores what are philosophical intuitions, and why do (...) experimental philosophers want to study them using the methods of empirical science. The positive program in experimental philosophy shares the goal of the substantial part of traditional philosophy that is concerned with the analysis of important philosophical concepts. The negative program has implications for philosophical projects whose goal is conceptual analysis. There have been a number of responses to the challenge posed by experimental philosophy's negative program. The chapter also focuses on the expertise defense. (shrink)

Bibliography of works in experimental philosophy.

Experimental philosophy is a new interdisciplinary field that uses methods normally associated with psychology to investigate questions normally associated with philosophy. The present review focuses on research in experimental philosophy on four central questions. First, why is it that people's moral judgments appear to influence their intuitions about seemingly nonmoral questions? Second, do people think that moral questions have objective answers, or do they see morality as fundamentally relative? Third, do people believe in free will, (...) and do they see free will as compatible with determinism? Fourth, how do people determine whether an entity is conscious? (shrink)

Drawing upon a distinction between epistemically and metaphysically motivated notions of a concept, I consider the insurmountable problems of theories that appeal to our epistemic capacities to address the problem of the nature of concepts satisfactorily. Prominent theories of concepts hold that primitive concepts must have internal structure if they are to account for the explanatory functions that cognitive scientists have attributed to such constructs as prototypes, exemplars, and theories. Vindicating the role of non-experimental philosophy in the (...) critical examination of empirical theories, I argue that the explanatory effectiveness of those constructs is orthogonal to an argument concerning the structure of primitive concepts. Conceptual atomism provides an alternative approach to individuating primitive concepts the precise formulation of which has yet to be worked out. Despite its unpopularity, the atomist alternative is still in a better position to face the question of what concepts are than its competitors. (shrink)

Experimental Philosophy is a new and controversial movement that challenges some of the central findings within analytic philosophy by marshalling empirical evidence. The purpose of this short paper is twofold: to introduce some of the work done in experimental philosophy concerning issues in philosophy of language, philosophy of mind, and metaphysics and to connect this work with several debates within the philosophy of religion. The provisional conclusion is that philosophers of religion must (...) critically engage experimental philosophy. (shrink)

The aim of this work is to elucidate John F. W. Herschel’s distinctive contribution to nineteenth-century British inductivism by exploring his understanding of experimental methods. Drawing on both his explicit discussion of experiment in his Preliminary Discourse on Natural Philosophy and his published account of experiments he conducted in the domain of electromagnetism, I argue that the most basic principle underlying Herschel’s epistemology of experiment is that experiment enables a particular kind of lower-level experimental understanding of phenomena. (...) Experimental practices provide knowledge of a particular phenomenon as a genuine effect produced under precise material conditions whose connections with other phenomena can be traced by variations in experimental parameters. The orienting concern of experimental inquiry seems to be the production of a secure understanding of phenomena even if it has no direct theoretical significance. Insofar as one can generate this lower-level understanding, it can function both as a fertile source for explanatory principles about phenomena and as a body of evidence against which one can test the adequacy of an explanatory hypothesis. This project provides evidence of Herschel’s inductivism not merely as a philosophical approach to understanding the sciences but as a methodological commitment in scientific practice. (shrink)

Suitable for student readers and more advanced scholars who would like an introduction to experimental philosophy, this book guides the reader through current debates on the topic, and provides links to current and emerging work in the field.

Experimental philosophy is a relatively recent discipline that employs experimental methods to investigate the intuitions, concepts, and assumptions behind traditional philosophical arguments, problems, and theories. While experimental philosophy initially served to interrogate the role that intuitions play in philosophy, it has since branched out to bring empirical methods to bear on problems within a variety of traditional areas of philosophy—including metaphysics, philosophy of language, philosophy of mind, and epistemology. To date, no (...) connection has been made between developments in experimental philosophy and philosophy of technology. In this paper, I develop and defend a research program for an experimental philosophy of technology. (shrink)

ABSTRACT Drawing upon a distinction between epistemically and metaphysically motivated notions of a concept, I consider the insurmountable problems of theories that appeal to our epistemic capacities to address the problem of the nature of concepts satisfactorily. Prominent theories of concepts hold that primitive concepts must have internal structure if they are to account for the explanatory functions that cognitive scientists have attributed to such constructs as prototypes, exemplars, and theories. Vindicating the role of non-experimental philosophy in (...) the critical examination of empirical theories, I argue that the explanatory effectiveness of those constructs is orthogonal to an argument concerning the structure of primitive concepts. Conceptual atomism provides an alternative approach to individuating primitive concepts the precise formulation of which has yet to be worked out. Despite its unpopularity, the atomist alternative is still in a better position to face the question of what concepts are than its competitors. RESUMEN Haciendo una distinción entre nociones de concepto epistémica y metafísicamente motivadas, considero las dificultades insuperables que enfrentan las teorías que apelan a nuestras capacidades epistémicas para abordar el problema de la naturaleza de los conceptos. Las teorías de conceptos más importantes sostienen que los conceptos primitivos deben poseer una estructura interna para cumplir aquellas funciones explicativas que científicas y científicos cognitivos les han atribuido a constructos tales como prototipos, ejemplares y teorías. Reivindicando el aporte de la filosofía no experimental en la evaluación de teorías empíricas, planteo que un argumento a favor de la estructura de los conceptos primitivos es independiente del poder explicativo de dichos constructos. El atomismo conceptual proporciona un enfoque alternativo para individualizar conceptos primitivos cuya formulación precisa aún no se ha elaborado. Pese a su impopularidad, la alternativa atomista está en una mejor posición que sus rivales para enfrentar la pregunta acerca de qué tipo de cosas son los conceptos. (shrink)