This paper discusses the logical space of alternative conceptual engineering projects, with a specific focus on (1) the processes, (2) the targets and goals, and (3) the methods of such projects. We present an overview of how these three aspects interact in the contemporary literature and discuss those alternative projects that have yet to be explored based on our suggested typology. We show how choices about each element in a conceptual engineering project constrain the possibilities for the others, thereby giving (...) rise to distinct groupings of possible projects under the banner of conceptual engineering. We conclude with a critical reflection on the potential ethical issues that arise as a result of effectively putting conceptual engineering into practice. (shrink)

Conceptual engineering concerns the assessment and improvement of our concepts. But how can proposals to engineer concepts be implemented in the real world? This is known as the implementation challenge to conceptual engineering. In this paper, I am concerned with the meta-philosophical implications of the implementation challenge. Specifically, must we overcome the implementation challenge prior to undertaking conceptual engineering? Some critics have recently answered this question affirmatively. I intend to show that they are mistaken. I argue as follows. First, successful (...) implementation is not an integral part of conceptual engineering. Second, the idea that the value of conceptual engineering relies on successful implementation is in tension with widespread assumptions about normative theorizing. (shrink)

This chapter shows that the experimental philosophy has much to offer to philosophy of science by reviewing the existing experimental‐philosophy work in the philosophy of science and by defending it against an important criticism. A natural way of extending experimental philosophy methods to the philosophy of science is to survey scientists’ judgments. The chapter presents two projects in the philosophy of science that can benefit from such surveys: analyzing the scientific concepts found in particular scientific communities and studying scientific cognition. (...) It explains how surveying lay people's judgments can bear on issues in the philosophy of science. The chapter examines the possible contributions of bibliometric, ethnographic and cliometric methods to the philosophy of science. Ethnographic methods are particularly useful to study the social structure of science, the nature and role of social norms in the production of scientific knowledge, and the discovery heuristics at work in everyday scientific practice. (shrink)

The role that need plays in dealing with problems of distributive justice is examined in a series of vignette studies. Among other things, it becomes clear that impartial observers make gradual assessments of justice that depend on the extent to which the observed individuals are endowed with a good. If it is known how high their need for that good is, the assessments are made relative to this reference point. In addition, impartial decision-makers make hypothetical distribution decisions that take into (...) account need, productivity, and accountability. The need of individuals is partially compensated even if they have contributed less to the available amount than they themselves require. However, the willingness to do so decreases if they are accountable for needing more than others or for having contributed less than others. Lastly, both impartial observers and impartial decision-makers distinguish between different types of needs, the fulfillment of which is given different levels of importance. (shrink)

This paper argues for two conclusions: (1) evaluating the success of engineered concepts necessarily involves empirical work; and (2) the Carnapian Explication criterion precision ought to be a methodological standard in conceptual engineering. These two conclusions provide a new analysis of the race and gender debate between Sally Haslanger and Jennifer Saul. Specifically, the argument identifies the resources Haslanger needs to respond to Saul’s main objections. Lastly, I contrast the methodology advocated here with the so-called “method of cases” and draw (...) out some general implications for how we should think about concepts. (shrink)

This paper argues for two conclusions: (1) evaluating the success of engineered concepts necessarily involves empirical work; and (2) the Carnapian Explication criterion precision ought to be a methodological standard in conceptual engineering. These two conclusions provide a new analysis of the race and gender debate between Sally Haslanger and Jennifer Saul. Specifically, the argument identifies the resources Haslanger needs to respond to Saul’s main objections. Lastly, I contrast the methodology advocated here with the so-called “method of cases” and draw (...) out some general implications for how we should think about concepts. (shrink)

This paper aims to contribute to debates about the nature of philosophical inquiry and its relation to science. The starting point is the Discontinuity View (DV), which holds that philosophy is discontinuous with science. Upon critically engaging two lines of argument in favor of DV, the paper presents and defends the Continuity View (CV), according to which philosophy and science are continuous forms of inquiry. The critical engagement sheds light on continuities between philosophical and scientific inquiry while underlining special normative (...) competences of philosophical work. The final part of the paper uses these insights to offer a brief outline of a normative approach to philosophy of science. (shrink)

Christopher Boorse’s Health care ethics: an introduction, Temple University Press, Philadelphia, pp 359–393, 1987; in Humber, Almeder, Totowa What is disease?, Humana Press, New York City, pp 1–134, 1997; J Med Philos, 39:683–724, 2014) Bio-Statistical Theory comprehends diseases in terms of departures from natural norms, which involve an objectively describable deviation from the proper physiological or psychological functioning of parts of the human organism. I argue that while recent revisions and additional considerations shield the BST from a number of issues (...) raised by critics, they give rise to significant new challenges. These are related to the attribution of epistemic authority, the possibility of multiple concepts in the authoritative literature, and the framing of BST as “philosophical explication.” The conclusion is that, in its current form, the BST is unable to provide a robust framework for a naturalist classification. (shrink)

Many concepts are inadequate for serious inquiry, so theorists often seek to engineer new concepts. The method of explication, which involves replacing concepts with more fruitful alternatives, is a model of this process. In this paper, I develop an account of fruitfulness, the Relevant-Goals Account of Fruitfulness. The account is in the spirit of extant proposals, but develops and extends them in important ways. In particular, while it applies to explications in general, the account allows us to derive substantive details (...) for specific explications. This is achieved through a supplementary view, Contextualism, that specifies which theoretical goals are relevant in any given case. I close by discussing how the Relevant-Goals Account fits into the dynamic nature of inquiry. (shrink)

Conceptual engineering is sometimes presented as an alternative to conceptual analysis. But one important objection to conceptual analysis threatens to carry across: that philosophy investigates phenomena—knowledge, truth, freedom, etc.—rather than concepts of those phenomena. This poses a prima facie problem insofar as conceptual engineering targets concepts or terms rather than phenomena. Call it the ‘phenomenon objection’. I begin by examining recent discussions of the phenomenon objection by Cappelen and Scharp, rejecting their responses. I then clarify and strengthen the objection, discussing (...) the challenge that the ‘strong phenomenon objection’ poses to conceptual engineers. Finally, I develop a new response to the strong phenomenon objection. In doing so, I motivate, articulate and defend an account of philosophy and its problems on which conceptual engineering is the appropriate method for tackling many philosophical problems—as well as, perhaps surprisingly, some problems in the sciences. (shrink)

In a number of influential papers, Machery, Mallon, Nichols and Stich have presented a powerful critique of so-called arguments from reference, arguments that assume that a particular theory of reference is correct in order to establish a substantive conclusion. The critique is that, due to cross-cultural variation in semantic intuitions supposedly undermining the standard methodology for theorising about reference, the assumption that a theory of reference is correct is unjustified. I argue that the many extant responses to Machery et al.’s (...) critique do little for the proponent of an argument from reference, as they do not show how to justify the problematic assumption. I then argue that it can in principle be justified by an appeal to Carnapian explication. I show how to apply the explication defence to arguments from reference given by Andreasen and by Churchland. (shrink)

Kevin Scharp’s influential work on the alethic paradoxes combines an extensively developed inconsistency theory with a substantial conceptual engineering project. I argue that Scharp’s inconsistency theory is in tension with his conceptual engineering project: the inconsistency theory includes an account of concepts that implies that the conceptual engineering project will fail. I recommend that Scharp revises his account of concepts, and show how doing so allows him to resolve the tension. The discussion is important for ongoing work on conceptual engineering. (...) Firstly, it is important to get clear on whether Scharp’s conceptual engineering project is—or could be—successful. Secondly, the issues discussed herein may generalise to other conceptual engineering projects, such as explication and ameliorative projects. In particular, the discussion has implications for how conceptual engineers can think about concepts and their relation to how we use words. (shrink)

In the course of theorising, it can be appropriate to replace one concept—a folk concept, or one drawn from an earlier stage of theorising—with a more precise counterpart. The best-known account of concept replacement is Rudolf Carnap’s ‘explication’. P.F. Strawson famously critiqued explication as a method in philosophy. As the critique is standardly construed, it amounts to the objection that explication is ‘irrelevant’, fails to be ‘illuminating’, or simply ‘changes the subject’. In this paper, I argue that this is an (...) unfair characterisation of Strawson’s critique, spelling out the critique in more detail and showing that, fully understood, it is not undermined by extant responses. In light of both the critique and extant responses, I close by making some substantive comments about what explication can, and cannot, be used to do in philosophy. (shrink)

Shepherd and Justus argue that experimental philosophy has an important role to play in the method of Carnapian explication, facilitating the preparatory stage during which the concept to be explicated is clarified. I raise concerns about their specific proposal, before sketching an alternative. In particular, I suggest that experimental philosophy can directly aid the construction of fruitful concepts. This provides a clear practical role for experimental philosophy, both within the sciences and theoretical inquiry more generally. In this respect, experimental philosophy (...) may rightly be construed as one aspect of applied philosophy. (shrink)

What is the relationship between conceptual engineering and metasemantic externalism? Sally Haslanger has argued that metasemantic externalism justifies the seemingly counterintuitive consequences of her proposed conceptual revisions. But according to Herman Cappelen, metasemantic externalism makes conceptual engineering effectively impossible in practice. After raising objections to Haslanger’s and Cappelen’s views, I argue for a very different picture, on which metasemantic externalism bears very little on conceptual engineering. I argue that, while metasemantic externalism principally operates at the level of semantic-meaning, we should (...) understand conceptual engineering to operate largely at the level of speaker-meaning. This ‘Speaker-Meaning Picture’ has two key benefits. Firstly, it makes conceptual engineering often easy in practice. Secondly, it suggests a new, normative response to the well known objection that conceptual engineering serves only to change the subject. (shrink)

Traditional views on philosophical methodology characterize our primary philosophical goal as production of a successful conceptual analysis. The notion of conceptual analysis, however, faces several challenges—from experimental philosophy to more traditional worries such as the paradox of analysis. This paper explores an alternate approach, commonly called conceptual engineering, which aims at recommending conceptual revisions. An important question for the conceptual engineer is as follows: what counts as a case of successful conceptual engineering? What sorts of revisions are permitted, and what (...) sorts are too revisionary? In this paper I examine ‘functional’ approaches to conceptual engineering, ultimately arguing for a ‘radical’ functionalism according to which even revisions which ‘change the subject’ are permitted, and successful re-engineering is constrained only by the requirement that continuity in needed functions of a pre-engineering concept be maintained somewhere in the postengineering conceptual scheme. I further argue that this approach suggests a heightened role, in metaphilosophical discourse, for a neglected epistemic goal—conceptual efficacy. (shrink)

ABSTRACT Conceptual engineering provides a prima facie attractive alternative to traditional, conceptual analysis based approaches to philosophical method – particularly for those with doubts about the epistemic merits of intuition. As such, it seems to be a natural fit for those persuaded by the critiques of intuition offered by experimental philosophy. Recently, a number of authors [Schupbach, J. 2015. “Experimental Explication.” Philosophy and Phenomenological Research 94 : 672–710; Shepherd, J., and J. Justus. 2015. “X-Phi and Carnapian Explication.” Erkenntnis 80 : (...) 381–402; Fisher, J. 2015. “Pragmatic Experimental Philosophy.” Philosophical Psychology 28: 412–433; Machery, E. 2017. Philosophy Within its Proper Bounds. Oxford University Press] have suggested that experimental philosophy might be employed in service of conceptual engineering. In this paper, I provide a novel argument for x-phi’s relevance to conceptual engineering, based on a ‘functionalist’ approach to conceptual engineering. In short, I argue that experimental philosophy is distinctively well-suited to investigation of the purposes or functions which our concepts serve, and the means by which they fulfil those functions. Experimental philosophy thereby uncovers potential engineering solutions that may serve as models for the conceptual engineer. (shrink)

Every area of knowledge is based on a variety of products of conceptual engineering. This article is programmatic in essence: it aims at introducing a model of how conceptual engineering works and, particularly, how conceptual innovation is achieved in the context of theoretical inquiry. First, it describes the context in which the explicit study of the relevance, scope, mechanisms, and aims of conceptual engineering was born. Secondly, it introduces a distinction between evaluative and instrumental conceptual engineering based on the difference (...) between committed and instrumental conceptual use. According to this, it argues that both evaluative and instrumental conceptual engineering might be formally seen as the result of one function, which, provided a conceptual problem, maps to possible conceptual solutions generating success or failure values. Lastly, it introduces a third kind of conceptual engineering, namely, constructive conceptual engineering. Its core is a function that maps solutions to a representational space of non-considered alternatives, thus generating new conceptual content. In general, the proposed model offers a productive and novel field of inquiry on the conditions and factors that grounds theoretical innovation through conceptual engineering. (shrink)

The concept of “life” certainly is of some use to distinguish birds and beavers from water and stones. This pragmatic usefulness has led to its construal as a categorical predicate that can sift out living entities from non-living ones depending on their possessing specific properties—reproduction, metabolism, evolvability etc. In this paper, we argue against this binary construal of life. Using text-mining methods across over 30,000 scientific articles, we defend instead a degrees-of-life view and show how these methods can contribute to (...) experimental philosophy of science and concept explication. We apply topic-modeling algorithms to identify which specific properties are attributed to a target set of entities (bacteria, archaea, viruses, prions, plasmids, phages and the molecule of adenine). Eight major clusters of properties were identified together with their relative relevance for each target entity (two that relate to metabolism and catalysis, one to genetics, one to evolvability, one to structure, and—rather unexpectedly—three that concern interactions with the environment broadly construed). While aligning with intuitions—for instance about viruses being less alive than bacteria—these quantitative results also reveal differential degrees of performance that have so far remained elusive or overlooked. Taken together, these analyses provide a conceptual “lifeness space” that makes it possible to move away from a categorical construal of life by empirically assessing the relative lifeness of more-or-less alive entities. (shrink)

Conceptual analysis aims to uncover the basic criteria of concepts that underwrite categorizing members via the method of cases. However, conceptual analysis has not been very successful and experimental philosophy has increasingly detailed this lack of success. This essay reviews Thinking Off Your Feet: How Empirical Psychology Vindicates Armchair Philosophy by Michael Strevens, which attempts a novel defence of conceptual analysis. It is a strategic intervention that seems to preserve a relatively traditional picture of philosophical inquiry. I concentrate on several (...) assumptions in this intervention that might be questioned and conclude there are good reasons to continue an interrogation of how we understand the philosophical enterprise. Ideally, this might encourage us to rebuild our picture of what philosophy is. (shrink)

It seems natural to think that Carnapian explication and experimental philosophy can go hand in hand. But what exactly explicators can gain from the data provided by experimental philosophers remains controversial. According to an influential proposal by Shepherd and Justus, explicators should use experimental data in the process of ‘explication preparation’. Against this proposal, Mark Pinder has recently suggested that experimental data can directly assist an explicator’s search for fruitful replacements of the explicandum. In developing his argument, he also proposes (...) a novel aspect of what makes a concept fruitful, namely, that it is taken up by the relevant community. In this paper, I defend explication preparation against Pinder’s objections and argue that his uptake proposal conflates theoretical and practical success conditions of explications. Furthermore, I argue that Pinder’s suggested experimental procedure needs substantial revision. I end by distinguishing two kinds of explication projects, and showing how experimental philosophy can contribute to each of them. (shrink)

Conceptual engineering is the method for assessing and improving our concepts. However, little has been written about how best to conceive of concepts for the purposes of conceptual engineering. In this paper, I aim to fill this foundational gap, proceeding in three main steps: First, I propose a methodological framework for evaluating the conduciveness of a given concept of concept for conceptual engineering. Then, I develop a typology that contrasts two competing concepts of concept that can be used in conceptual (...) engineering — namely, the philosophical and psychological ones. Finally, I evaluate these two concepts of concept using the proposed methodological framework and I show that, when it comes to making conceptual engineering an actionable method, the psychological concept of concept outclasses its philosophical counterpart on all counts. This provides a baseline from which the concept of concept can be further improved for the purposes of conceptual engineering. (shrink)

Philosophers have long been fascinated by the stream of consciousness – thoughts, images, and bits of inner speech that dance across the inner stage. Yet for centuries, such ‘mind‐wandering' was deemed private and thus resistant to empirical investigation. Recent developments in psychology and neuroscience have reinvigorated scientific interest in the stream of thought. Despite this flurry of progress, scientists have stressed that mind‐wandering research requires firmer philosophical foundations. The time is therefore ripe for the philosophy of mind‐wandering. Our review begins (...) with a foundational question: What is mind‐wandering? We then investigate the significance of mind‐wandering for general philosophical topics, namely, mental action, introspection, and the norms of thinking and attention. (shrink)

In this paper, we first briefly survey the main responses to the challenge that experimental philosophy poses to the method of cases, given the common assumption that the latter is crucially based on intuitive judgments about cases. Second, we discuss two of the most popular responses in more detail: the expertise defense and the mischaracterization objection. Our take on the expertise defense is that the available empirical data do not support the claim that professional philosophers enjoy relevant expertise in their (...) intuitive judgments about cases. In contrast, the mischaracterization objection seems considerably more promising than its largely negative reception has suggested. We argue that the burden of proof is thus on philosophers who still hold that the method of cases crucially relies on intuitive judgments about cases. Finally, we discuss whether conceptual engineering provides an alternative to the method of cases in light of the challenge from experimental philosophy. We argue that this is not clearly the case, because conceptual engineering also requires descriptive information about the concepts it aims to improve. However, its primarily normative perspective on our concepts makes it largely orthogonal to the challenge from experimental philosophy, and it can also benefit from the empirical methods of the latter. (shrink)

This paper is the introduction to the Special Issue “Philosophical Methods”. The Special Issue will be published by Synthese.

The method of explication has been somewhat of a hot topic in the last 10 years. Despite the multifaceted research that has been directed at the issue, one may perceive a lack of step-by-step procedural or structural accounts of explication. This paper aims at providing a structural account of the method of explication in continuation of the works of Geo Siegwart. It is enhanced with a detailed terminology for the assessment and comparison of explications. The aim is to provide means (...) to talk about explications including their criticisms and their interrelations. There is hope that this treatment will be able to serve as a foundation to a step-by-step guide to be established for explicators. At least it should help to frame and mediate explicative disputes. In closing the enterprise will be considered an explication of ‘explication’, though consecutive explications improving on this one are undoubtedly conceivable. (shrink)

Analyses of the Sleeping Beauty Problem are polarised between those advocating the “1/2 view” (“halfers”) and those endorsing the “1/3 view” (“thirders”). The disagreement concerns the evidential relevance of self-locating information. Unlike halfers, thirders regard self-locating information as evidentially relevant in the Sleeping Beauty Problem. In the present study, we systematically manipulate the kind of information available in different formulations of the Sleeping Beauty Problem. Our findings indicate that patterns of judgment on different formulations of the Sleeping Beauty Problem do (...) not fit either the “1/2 view” or the “1/3 view.” Human reasoners tend to acknowledge self-locating evidence as relevant, but discount its weight significantly. Accordingly, self-locating information may trigger more cautious judgments of confirmation than familiar kinds of statistical evidence. We also discuss how these results can advance the debate by providing a more nuanced and empirically grounded account or explication of the evidential impact of self-locating information. (shrink)

Explanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature in the intersection of psychology and philosophy of science by systematically investigating how judgments of explanatory power are affected by the prior credibility of a potential explanation, the causal framing used to describe the explanation, the generalizability of the explanation, and its statistical relevance for the evidence. Collectively, (...) the results of our five experiments support the hypothesis that the prior credibility of a causal explanation plays a central role in explanatory reasoning: first, because of the presence of strong main effects on judgments of explanatory power, and second, because of the gate-keeping role it has for other factors. Highly credible explanations were not susceptible to causal framing effects. Instead, highly credible hypotheses were sensitive to the effects of factors which are usually considered relevant from a normative point of view: the generalizability of an explanation, and its statistical relevance for the evidence. These results advance current literature in the philosophy and psychology of explanation in three ways. First, they yield a more nuanced understanding of the determinants of judgments of explanatory power, and the interaction between these factors. Second, they illuminate the close relationship between prior beliefs and explanatory power. Third, they clarify the relationship between abductive and probabilistic reasoning. (shrink)

Carnap and Goodman developed methods of conceptual re-engineering known respectively as explication and reflective equilibrium. These methods aim at advancing theories by developing concepts that are simultaneously guided by pre-existing concepts and intended to replace these concepts. This paper shows that Carnap’s and Goodman’s methods are historically closely related, analyses their structural interconnections, and argues that there is great systematic potential in interpreting them as aspects of one method, which ultimately must be conceived as a component of theory development. The (...) main results are: an adequate method of conceptual re-engineering must focus not on individual concepts but on systems of concepts and theories; the linear structure of Carnapian explication must be replaced by a process of mutual adjustments as described by Goodman; Carnap’s condition of similarity can be analysed into two components, one securing a relation to the specific extensions of the pre-existing concepts, one regulating the transition to the new system of concepts; these two criteria of adequacy can be built into Goodman’s account of reflective equilibrium to ensure that the resulting concepts promote theoretical virtues while being sufficiently similar to the concepts we started out with. (shrink)

A characterization of epistemic rationality, or epistemic justification, is typically taken to require a process of conceptual clarification, and is seen as comprising the core of a theory of (epistemic) rationality. I propose to explicate the concept of rationality. -/- It is essential, I argue, that the normativity of rationality, and the purpose, or goal, for which the particular theory of rationality is being proposed, is taken into account when explicating the concept of rationality. My position thus amounts to an (...) instrumentalist position about theories of epistemic rationality. Since there are different purposes, or goals, for which theories of rationality are proposed, the method of explication leaves room for different characterizations of rationality. I focus on two such (kinds of) purposes: first, the purpose of guiding the formation (or maintenance) of doxastic states and, second, the purpose of assessing (the formation or maintenance of) doxastic states. I conclude by outlining a pluralistic picture concerning rationality. (shrink)

What does the way we clarify and revise concepts reveal about the nature of concepts? This paper investigates the ontological commitments of conceptual analysis and explication regarding their supposed subject matter – concepts. It demonstrates the benefits of a cognitivist account of concepts, according to which they are not items on which the subject operates cognitively, but rather ways in which the subject operates. The proposed view helps to handle alternating references to ‘concepts’ and ‘terms’ in instructions on analysis and (...) explication. Furthermore, its virtue lies not in the capacity to render concepts ‘shareable’ but in its ontological parsimony. (shrink)

Conceptual engineering is a philosophical method that aims to design and spread conceptual and linguistic devices to cause meaningful changes in the world. So far, however, conceptual engineers have struggled to successfully spread the conceptual and linguistic entities they have designed to their target communities. This paper argues that conceptual engineering is far more likely to succeed if it incorporates empirical data and empirical methods. Because the causal factors influencing successful propagation of linguistic or conceptual devices are as complicated and (...) interwoven as they are, proper empirical research will greatly boost the likelihood that propagation is successful. In arguing for the superiority of empirical conceptual engineering over armchair-based conceptual engineering, this paper proposes a framework for understanding the causal forces at play in propagation. This is a three-part framework between the label of a lexical item, the psychological states associated with the lexical item, and the worldly things associated with the lexical item. By understanding the way causal forces affecting propagation play out at these three levels, conceptual engineers can better conceptualize, study, and harness the different causal forces affecting the success of their conceptual engineering projects. (shrink)

This encyclopedia article provides a procedural account of explication outlining each step that is part of the overall explicative effort (2). It is prefaced by a summary of the historical development of the method (1). The latter part of the article includes a rough structural theory of explication (3) and a detailed presentation of an examplary explication taken from the history of philosophy and the foundations of mathematics (4).

Human behavior and thought often exhibit a familiar pattern of within group similarity and between group difference. Many of these patterns are attributed to cultural differences. For much of the history of its investigation into behavior and thought, however, cognitive science has been disproportionately focused on uncovering and explaining the more universal features of human minds—or the universal features of minds in general. -/- This entry charts out the ways in which this has changed over recent decades. It sketches the (...) motivation behind the cultural turn in cognitive science, and situates some of its central findings with respect to the questions that animate it and the debates that it has inspired. Woven throughout the entry are examples of how the cognitive science of culture, and especially its elevated concern with different forms of diversity and variation, continues to influence and be influenced by philosophers. -/- One cluster of philosophical work falls within the traditional subject matter of philosophy of science, in this case of the cognitive and social sciences. Philosophers have analyzed and assessed the methods and evidence central to the scientific study of cognition and culture, and have offered conceptual scrutiny, clarification, and synthesis. Research in a second vein sees philosophers themselves contributing more directly to cognitive scientific projects, (co)constructing theories, helping build computational models, even gathering empirical data. A third kind of work is naturalistic philosophy or philosophy of nature, wherein philosophers seek to use results from the cognitive science of culture to inform or transform debates over long-standing philosophical questions, including questions about the nature of philosophy and philosophical methodology itself. (shrink)

The conservative idea that it is a philosopher’s job to clarify common sense beliefs about ordinary concepts is being weeded out from the population and replaced by a revisionist agenda: philosophers should not merely describe but also analyze and suggest ways to improve our concepts. This project is called "conceptual engineering." The conceptual engineering literature is growing rapidly as more philosophers undertake normative conceptual work. However, many philosophers are practicing conceptual engineering untethered to an explicit methodology. Analyses addressing how we (...) should engineer a concept and what should be considered successful are scarce. The thesis of this dissertation is that Carnapian Explication solves this methodological deficiency. (shrink)

Much recent work on philosophical methodology has focused on whether we should accept evidence: the claim that philosophers use intuitive judgments about cases as evidence for/against philosophical theories. This paper outlines a new way of thinking about the philosophical method of appealing to cases such that evidence is true but not as it is typically understood. The idea proposed is that, when philosophers appeal to cases, they are engaged in a project of conceptual engineering and that, within that project, intuitions (...) about cases provide evidence as to the normative constraints which are relevant within that project. The paper demonstrates that this is a feasible interpretation of the way that cases are appealed to in recent journal issues, and makes the case that this would be a better way to think of what philosophers are doing when they appeal to cases. (shrink)

In the opening paragraph of “Computing Machinery and Intelligence” Alan Turing famously notes that “if the meaning of the words ‘machine’ and ‘think’ are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, ‘Can machines think?’ is to be sought in a statistical survey such as a Gallup poll.” He then immediately responds, “But this is absurd.” But why is this absurd, if indeed (...) it is? We think that the suggested method is absurd because the answer to the question might not follow from the meaning of the words alone—it might critically depend on what machines can be built to do. Further, the ordinary use of the terms might display shallow biases or superstitions that we want to set aside, or overcome, in pursuing a science or philosophy of mind. However, we do not think that the method is absurd insofar as we are interested in getting clear on “the normal use of the words,” as Turing puts it. And we believe that getting clear on the normal use of words like “machine” and “think” is relevant even if we then want to move beyond the ordinary usage in our theorizing. But the best way to figure out how ordinary people use language is via empirical investigation. (shrink)