A philosopher argues that state-sponsored cyberattacks against central military or civilian targets are always acts of war. What is this philosopher doing? According to conceptual analysts, the philosopher is making a claim about our concept of war. According to philosophical realists, the philosopher is making a claim about war per se. In a quickly developing literature, a third option is being explored: the philosopher is engineering the concept of war. On this view, the philosopher is making a proposal about which (...) concept we should have – even if it deviates from the extant concept, and even if it does not capture ‘what war really is’. The activity or method of proposing such revisionary definitions, as well as the metaphilosophical reflection on it, has become known as conceptual engineering. (shrink)

This essay focuses on conceptual engineers who aim to improve other people's patterns of inference and attention by shaping their concepts. Such conceptual engineers sometimes engage in a form of epistemic paternalism that I call paternalistic cognitive engineering: instead of explicitly persuading, informing and educating others, the engineers non-consultatively rely on assumptions about the target agents’ cognitive systems to improve their belief forming. The target agents could reasonably regard such benevolent exercises of control as violating their sovereignty over their own (...) belief formation. This is a pro tanto reason against such engineering. In addition to the relevant projects of conceptual engineering, paternalistic cognitive engineering plausibly includes certain kinds of nudging and evidence suppression. I distinguish the sovereignty-based concern from other ethical worries about conceptual engineering and discuss how one might justify the relevant conceptual engineering projects despite the sovereignty-based reason against 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)

Max Deutsch has recently argued that conceptual engineering is stuck in a dilemma. If it is construed as the activity of revising the semantic meanings of existing terms, then it faces an unsurmountable implementation problem. If, on the other hand, it is construed as the activity of introducing new technical terms, then it becomes trivial. According to Deutsch, this conclusion need not worry us, however, for conceptual engineering is ill-motivated to begin with. This paper responds to Deutsch by arguing, first, (...) that there is a third construal of conceptual engineering, neglected by him, which renders it both implementable and non-trivial, and second, that even the more ambitious project of changing semantic meanings is no less feasible than other normative projects we currently pursue. Lastly, the value of conceptual engineering is defended against Deutsch’s objections. (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)

Conceptual Engineering (CE) is thought to be generally aimed at ameliorating deficient concepts. In this paper, we challenge this assumption: we argue that CE is frequently undertaken with the orthogonal aim of _conceptual adaptation_. We develop this thesis with reference to the interplay between technology and concepts. Emerging technologies can exert significant pressure on conceptual systems and spark ‘conceptual disruption’. For example, advances in Artificial Intelligence raise the question of whether AIs are agents or mere objects, which can be construed (...) as a CE question regarding the concepts AGENT and OBJECT. We distinguish between three types of conceptual disruption (conceptual gaps, conceptual overlaps, and conceptual misalignments) and argue that when CE occurs to address these disruptions, its primary aim is not to improve concepts, but to retain their functional quality, or to prevent them from degrading. This is the characteristic aim of CE when undertaken in philosophy of technology: to _preserve_ the functional role of a concept or conceptual scheme, rather than _improving_ how a concept fulfills its respective function. (shrink)

In this chapter, I examine Max Deutsch’s dilemma for the implementation of newly engineered concepts. In the debate over this dilemma, the goal of conceptual engineering tends to be set either too high or too low. As a result, implementation tends to be seen as either very unlikely to succeed or too easily achievable. This chaper aims to offer a way out of this dilemma. I argue that the success conditions for implementation can be better understood if we distinguish between (...) different stages in the implementation process. Implementation is a complex process involving several stages, each of which can be evaluated as a success or a failure. I argue that even if an implementation does not reach the final stage in which a new concept is widely used in the society at large, it may not be a complete failure: conceptual engineers may not even aim for a new concept to be widely used in the society at large; or even if they do and a new concept only circulates in a smaller subgroup, this can still be a significant achievement. The upshot is that we should take more seriously the possibility that conceptual engineering can be implemented locally at the subgroup level. (shrink)

On a representationalist view, conceptual engineering is the practice of changing the extensions and intensions of the devices we use to speak and think. But if this view holds true, conceptual engineering has a bad rationale. Extensions and intensions are not the sorts of things that are better or worse as such. A representationalist account of conceptual engineering thus falls prey to the objection that the practice has a bad rationale. To account for the assumption that conceptual engineering is worthwhile, (...) we propose to view what is being engineered as inferential devices, as opposed to representational devices. The objective is not to establish that being or having an inferential role is all there is to meaning or conceptual content. Rather, our agenda is to recommend a shift of focus from the representational features of content to the inferential features of content for the purposes of doing and thinking about conceptual engineering. Inferentialism about conceptual engineering makes better sense of the practice than a representationalist approach: In addition to accounting for the rationality of engaging in conceptual engineering, inferentialism provides a sound interpretation of what is at stake in concrete examples of conceptual engineering. (shrink)

Many theorists of conceptual engineering appeal to the functions, roles, purposes or aims of concepts to articulate how conceptual engineering ought to be done. The functional approach to conceptual engineering is well-motivated: It promises a good account of the limits of revision, and of what makes some concept good. In this paper, I raise a problem for the functional approach which concerns the existence of harmful and methodologically insignificant concept functions. I examine whether we can deal with these problematic functions (...) by adopting a technical notion of function. I thus review the prospects for using the notions of a contextually stable function, of a designed function, of a proper function, and of a system function as our operative notion of function. None of them help us resolve the problem. On this basis, I argue that advocates of the functional approach should be committed to a comparatively weak claim, according to which functions must be assessed case-by-case, and that we are best served by employing an unsophisticated notion of function, according to which the function of a concept just is something the concept is used for. (shrink)

Conceptual engineering is commonly characterized as the method for assessing and improving our representational devices. Little has been said, however, on how best to construe these representational devices—in other words, on what conceptual engineering should be all about. This paper tackles this problem with a basic strategy: First, by presenting a taxonomy of the different possible subject matters for conceptual engineering; then, by comparatively assessing them and selecting the most conducive one with a view to making conceptual engineering an actionable (...) method, that is, a method that can be applied effectively and consistently to specific case studies. The outcome is that conceptual engineering should be all about concepts on pain of pragmatic inconsistencies otherwise. (shrink)

It is largely assumed that conceptual engineering is essentially about revising, introducing, or eliminating representational devices, in particular the intension and extension of words and concepts. However, tying conceptual engineering too closely to representations is risky. Not everyone endorses the notion of representation as theoretically helpful or even real. Not everyone thinks that concepts or meanings should be understood in terms of the notion of representation. Does this mean that conceptual engineering is not interesting or relevant for these skeptics? In (...) this paper, I motivate and propose a non-representationalist construal of conceptual engineering. I argue that conceptual engineers can be understood as primarily engineering linguistic entitlements and commitments rather than representational devices. Note that this account is non-representationalist, but explicitly not anti-representationalist. Representations may play a significant role when it comes to justifying and completing commitment engineering projects. (shrink)

Philosophy traditionally deals with such lexicalized concepts as WISDOM, VIRTUE, REASON, WORLD VIEW, INFINITE UNIVERSE, and PHILOSOPHY. They trigger interest in philosophy, particularly because they are difficult to understand and explain. It is all the more surprising that many contemporary philosophers focus on such concepts as DOG, CHAIR, and FLIGHT to build their theories and provide examples. The article argues that to preserve topical equilibrium and avoid methodological problems, both classes of concepts should be involved in philosophical theorization and exemplification. (...) The first part critically discusses attempts at identifying these classes as ordinary vs. big (Gauker), empirical vs. pure (Kant), and concrete vs. abstract (contemporary psycholinguistics). It introduces the opposite pair simple empirical vs. complex demanding concepts as an alternative heuristic tool to evaluate concepts. The second part elaborates on the concept of concept and structural similarities between the two classes of concepts in semantic and ‘onomantic’ perspectives. The third part shows that despite structural similarities, such factors as the availability of empirical data, identification of the referent, historical and theoretical loadedness, complexity, and demandingness indicate that simple empirical and complex demanding concepts should be addressed in different ways. The final part elaborates on the notion of topical equilibrium as a philosophical method and norm and discusses two further examples (COW and ARTHRITIS) from contemporary debates in conceptual engineering. (shrink)

One of the core insights from Eleanor Rosch’s work on categorization is that human categorization isn’t arbitrary. Instead, two psychological principles constrain possible systems of classification for all human cultures. According to these principles, the task of a category system is to provide maximum information with the least cognitive effort, and the perceived world provides us with structured rather than arbitrary features. In this paper, I show that Rosch's insights give us important resources for making progress on the 'feasibility question' (...) in conceptual engineering: the question of how we can implement conceptual engineering projects in ways that are practically feasible. Specifically, I show that one overlooked upshot of Rosch's work is that naming practices play an extremely important role in the construction of perceived similarities within and dissimilarities between categories, and, correspondingly, the dissemination of social stereotypes that serve as markers between different categories that are otherwise similar. Thus, naming practices will be a crucial constraint for the feasibility of certain ameliorative projects. (shrink)

Open texture is a kind of semantic indeterminacy first systematically studied by Waismann. In this paper, extant definitions of open texture will be compared and contrasted, with a view towards the consequences of open-textured concepts in mathematics. It has been suggested that these would threaten the traditional virtues of proof, primarily the certainty bestowed by proof-possession, and this suggestion will be critically investigated using recent work on informal proof. It will be argued that informal proofs have virtues that mitigate the (...) danger posed by open texture. Moreover, it will be argued that while rigor in the guise of formalisation and axiomatisation might banish open texture from mathematical theories through implicit definition, it can do so only at the cost of restricting the tamed concepts in certain ways. (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)

Virtue ethics is traditionally a conservative project. It analyses the virtues that humanity has been relying on since antiquity. This conservatism unduly limits the potential of virtue ethics to contribute to moral progress. Instead, we should pay more attention to constructionist virtue ethics with the help of conceptual engineering. I will argue that revising and ameliorating the virtue concepts which a community uses directly and indirectly leads to a change of the virtues that exist in this community. By revising and (...) innovating virtue concepts, we can re-make and improve the virtues that we have. (shrink)

The linguistic meaning of a word in a language is what fully competent speakers of the language have a grasp of merely in virtue of their semantic competence. The meanings of words sometimes change over time. ‘Meat’ used to mean ‘solid food’, but now means ‘animal flesh eaten as food’. This type of meaning change comes with change of topic, what we are talking about. Many people interested in conceptual engineering have claimed that there is also meaning change where topic (...) is retained. For example, they claim that the meanings of ‘fish’ and ‘pasta’ have undergone such change, and that the meaning of ‘marriage’ would change this way after gay marriages become legal and widely accepted. In this paper, I relate two sets of relatively independent literatures: mainstream philosophy of language and conceptual engineering to argue that on a plausible and widely accepted Minimalist view of meaning that is part and parcel of anti‐descriptivism, none of the above sorts of cases involve meaning change with topic retention. I do this by showing how to distinguish minimalism about meaning from the related theses of externalism and anti‐individualism about intension and how to separate meaning from intension in a way that allows meaning and topic to remain the same despite changes in intension. The larger lesson is that much like we should not disregard the boundary between the narrowly meaning‐related (‘semantics’) and the more broadly communication‐related (‘pragmatics’), and we should not disregard the boundary between the former and the more broadly thought‐related, conceptual or cognitive (‘cognition’). (shrink)

Our aim in this paper is to employ conceptual negotiation to inform a method of rethinking defective food concepts, that is concepts that fail to suitably represent a certain food-related domain or that offer representations that run counter to the interests of their users. We begin by sorting out four dimensions of a food concept: the data upon which it rests and the methodology by which those data are gathered; the ontology that sustains it; the social acts that serve to (...) negotiate and establish the concept; and the aims and values that it fosters. We then discuss the conditions that make a food concept defective, pointing out four types of defects—fragility, polarization, incoherence, and schizophrenia—which we illustrate by means of two specific examples: local food and healthy food. (shrink)

Conceptual engineering is the method for assessing and improving our representational devices. On its ‘broad‐spectrum’ version, it is expected to be appropriately applicable to any of our representation‐involving cognitive activities, with major consequences for our whole cognitive life. This paper is about the theoretical foundations of conceptual engineering thus characterised. With a view to ensuring the actionability of conceptual engineering as a broad‐spectrum method, it addresses the issue of how best to construe the subject matter of conceptual engineering and successively (...) defends the theses that conceptual engineering should be: (i) About concepts, (ii) psychologically theorised, (iii) as multiply realised functional kinds. Thereby, I claim to theoretically secure and justify the maximum scope, flexibility, and impact for the method of conceptual engineering on our representational devices in our whole cognitive life—in other words, a broad‐spectrum version of conceptual engineering. (shrink)

Ratio, Volume 34, Issue 4, Page 286-302, December 2021.

In recent years, there has been significant interest in injustices that do not consist in inflicting physical or material harm on others, but operate in more subtle ways, e.g. by targeting our status as epistemic agents. In a similar fashion, this paper aims to bring to the forefront a currently overlooked kind of injustice that occurs in relation to our concepts: conceptual injustice, which is characterised by wrongful in- or exclusion from the application of a concept. The first part of (...) the paper is concerned with spelling out the notion, discussing its characteristic wrongs, and with tracing it in a number of examples. In the second part, I discuss conceptual injustice in relation to connected but different forms of injustice, such as epistemic injustice. This highlights the advantages of having the notion on hand: it enhances our understanding of other forms of injustice like hermeneutical injustice, and allows us to capture a ‘remainder of injustice’ for which we could not account otherwise. (shrink)

Critical social ontology is any study of social ontology that is done in order to critique ideology or end social injustice. The goal of this paper is to outline what I call the fundamentality approach to critical social ontology. On the fundamentality approach, social ontologists are in the business of distinguishing between appearances and (fundamental) reality. Social reality is often obscured by the acceptance of ideology, where an ideology is a distorted system of beliefs that leads people to promote or (...) accept widespread social injustices. Social reality is also obscured in cases where ordinary thought and language simply is not perspicuous enough to represent the social objects, kinds, and structures that are central to understanding social injustice. In both cases, I argue that the critical social ontologist will benefit from using the tools and concepts of fundamental metaphysics. (shrink)

Extinction is a concept of rapidly growing importance, with the world currently in the sixth mass extinction event and a biodiversity crisis. However, the concept of extinction has itself received surprisingly little attention from philosophers. I will first argue that in practice there is no single unified concept of extinction, but instead that its usage divides between descriptive, epistemic, and declarative concepts. I will then consider the epistemic challenges that arise in ascertaining whether a species has gone extinct, and how (...) these lead to serious limitations on responsibility and accountability for preventing extinctions. I will propose two conceptual engineering changes to our understanding of extinction. Firstly, to use twin epistemic concepts of extinction, corresponding to high and low epistemic demands. Secondly, to explicitly recognize that in many contexts extinction is a thick concept that contains an evaluative component, which therefore motivates explicit ethical considerations such as the use of precautionary principles. (shrink)

The paper explores the relationship between conceptual engineering and the methodology of the Lvov-Warsaw School. While conceptual engineering is commonly seen as rooted in Rudolf Carnap's works and his method of explication, this paper argues that LWS predates and informs contemporary understanding of this methodology. The paper establishes that LWS not only engaged in but also systematically developed a method of conceptual revision aimed at enhancing clarity, precision, and coherence with specific theoretical frameworks. The analysis shows that LWS's approach to (...) concepts combined both descriptive and normative methodologies to improve and adapt philosophical concepts to better address actual phenomena and certain theoretical or practical needs. This method, described by LWS members as 'analysis and construction', parallels contemporary conceptual engineering practices, particularly its so-called 'narrow' understanding focused on revising existing concepts rather than on merely introducing new ones. By tracing the historical trajectory of conceptual engineering back to LWS, this paper provides a deeper understanding of its foundational strategies and suggesting that LWS's methodology could serve as a guide for current and future philosophical projects. (shrink)

Conceptual engineering wants analytic philosophy to be centered around the assessment and improvement of philosophical concepts. But contemporary debates about conceptual engineering do not engage much with the vast literature on conceptual change that exists in philosophy of science. In this article, I argue that an adequate appreciation of the history of philosophy of science can contribute to discussions about conceptual engineering. Specifically, I show that the evolution of debates over scientific conceptual change arguably demonstrates that, contrary to what is (...) commonly assumed in the literature about conceptual engineering, conceptual change is possible within an externalist metasemantics and that any adequate theory of conceptual change should be metasemantically plastic. (shrink)

Critical discussions can often require conceptual engineering, a process in which speakers are engaged in revising each other’s concepts. We show that the analysis of conceptual engineering can benefit from integrating argumentation theory with models of conceptual representation. Argumentation theory accounts for the argumentative moves of the discussants, allowing the detection of speakers’ conceptual disagreements, for which some fallacies can be seen as cues. Models of conceptual representation, such as Conceptual spaces and the theory of meeting of minds, allow us (...) to study the cognitive side of engineering practices. However, when this integrated framework is applied to practical scenarios, conceptual engineering faces different challenges. In particular, assuming a psychological view about concepts, revisionary strategies are significantly narrowed down, if not impossible, in practice. These criticisms lead to a kind of dilemma for conceptual engineers, highlighting the necessity of further work on the definition of concept embraced by this research program. (shrink)

Conceptual engineering is the design, evaluation and implementation of concepts. Despite its popularity, some have argued that the methodology is not worthwhile, because the implementation of new concepts is both inscrutable and beyond our control. In the recent literature we see different responses to this worry. Some have argued that it is for political reasons just as well that implementation is such a difficult task, while others have challenged the metasemantic and social assumptions that underlie this skepticism about implementation. In (...) this paper, I argue that even if implementation is as difficult as critics maintain, there is at least one context in which conceptual engineering is extremely impactful and demonstrably so: the design of new technology. Different conceptions of control, freedom, trust, etc. lead to different designs and implementations of systems that are built to embed those concepts. This means that if we want to design for control, freedom, trust, etc., we have to decide which conception we ought to use. When we determine what the appropriate conception of a concept is in a technological context and use this conception to operationalize a norm or value, we generate requirements which have real-world effects. This not only shows that conceptual engineering can be extremely impactful, the fact that it leads to different design requirements means that we have a way to evaluate our conceptual choices and that we can use this feedback loop to improve upon our conceptual work By illustrating the direct impacts of different conceptions on technology design, this paper underscores the practical applicability and value of conceptual engineering, demonstrating how it serves as a crucial bridge between abstract philosophical analysis and concrete technological innovation. (shrink)

The Implementation Problem for conceptual engineering is, roughly, the problem conceptual engineers face when attempting to bring about the conceptual change they support. An important aspect of this problem concerns the extent to which attempting to implement concepts can lead to unintended negative consequences. Not only can conceptual engineers fail to implement their proposals, but their interventions can produce outcomes directly counter to their goals. It is therefore important to think carefully about the prospect of attempted implementation leading to unintended (...) negative consequences: what sort of negative consequences can conceptual engineers expect? Are some forms of conceptual engineering more likely than others to lead to such consequences? And is conceptual engineering still viable even given the risk of such consequences? This paper addresses such questions. I begin by outlining different forms of conceptual engineering (Section 1), before examining how they can produce unintended negative consequences (Section 2). I then discuss some implications of the fact that attempted implementation can produce unintended negative consequences, suggesting that, among other things, some forms of conceptual engineering are less viable than others (Section 3). I conclude, though, by considering some of the ways in which conceptual engineering is nonetheless a worthwhile pursuit (Section 4). (shrink)

Large language models (LLMs) such as OpenAI’s ChatGPT reflect, and can potentially perpetuate, social biases in language use. Conceptual engineering aims to revise our concepts to eliminate such bias. We show how machine learning and conceptual engineering can be fruitfully brought together to offer new insights to both conceptual engineers and LLM designers. Specifically, we suggest that LLMs can be used to detect and expose bias in the prototypes associated with concepts, and that LLM de-biasing can serve conceptual engineering projects (...) that aim to revise such conceptual prototypes. At present, these de-biasing techniques primarily involve approaches requiring bespoke interventions based on choices of the algorithm’s designers. Thus, conceptual engineering through de-biasing will include making choices about what kind of normative training an LLM should receive, especially with respect to different notions of bias. This offers a new perspective on what conceptual engineering involves and how it can be implemented. And our conceptual engineering approach also offers insight, to those engaged in LLM de-biasing, into the normative distinctions that are needed for that work. (shrink)

I will clarify when and how a tension arises between epistemic environmentalism (a new focus on assessing and improving the epistemic environment) and respect for epistemic autonomy (allowing, empowering, and requiring people to each govern their own beliefs). Using the example of participatory conceptual engineering (improving the linguistic environment through rational discussion with broad participation), I will also identify an option for avoiding the tension—namely, participatory environmentalism. This means a new focus on how people can each contribute to improving the (...) shared epistemic environment through rational deliberation and thereby govern their own beliefs that are shaped by that environment. (shrink)

This contribution focuses on what type of question “Are mental disorders brain disorders?” is and what task Anneli Jefferson performs in her book with the same title. I distinguish between conceptual engineering and conceptual choice, the former involving the individuation of an adequate concept for a specific goal, and the latter involving the normative problem of whether we should employ the concept at hand. I contend that Anneli Jefferson’s book is a work of conceptual engineering, which is valuable in and (...) of itself, but that this is insufficient to answer an equally essential version of the question, “Are mental disorders brain disorders?”, namely, whether we should adopt the newly engineered concept or not, considering a broader range of goals for mental health research and practice. (shrink)

The time has come to consider whether experimental philosophy’s (“x-phi”) early arguments, debates, and conceptual frameworks, that may have worn well in its early days, fit with the diverse range of projects undertaken by experimental philosophers. Our aim is to propose a novel taxonomy for x-phi that identifies four paths from empirical findings to philosophical consequences, which we call the “fourfold route.” We show how this taxonomy can be fruitfully applied even at what one might have taken to be the (...) furthest edges of possible applications of x-phi in metaphysics and formal philosophy. Ultimately, the fourfold route helps us understand a different kind of empirical fact: the development of x-phi itself. (shrink)

The main research methodology of the philosophy of language is conceptual investigation and its main task is to clarify or disambiguate concepts. Undoubtedly, this is a basic consensus in the circles of the philosophy of language. However, with the development of the discipline, people have realized that the research of the philosophy of language should not stop at conceptual clarification or disambiguation, but it should tinker with or replace concepts and when necessary, create new concepts. These are the new developments (...) in the philosophy of language. Central to these developments is the research of conceptual engineering. What exactly is conceptual engineering? What practical values does it have? Centering around these questions, this paper presents an exploration of conceptual engineering itself with a view of revealing its essence and analyzing its practical implications. The basic tasks of conceptual engineering include conceptual design, implementation and evaluation. The practical value of conceptual engineering is that it pushes conceptual clarification or disambiguation toward conceptual construction. (shrink)

In the recent years, attempts to relate metaphysics and sciences have taken various alternative forms such as metaphysics applied to science, metaphysics of science, and scientific metaphysics. In this article, I focus on scientific metaphysics and specifically explore the challenges with developing ontologies through four arguments. The Argument from Representational Indeterminacy highlights that global ontologies fail to clearly identify their target phenomenon. The Argument from Independent Inaccessibility explores the methodological difficulty of accessing a world that is independent of specific sets (...) of phenomena. The Argument from Conceptual Mismatch focuses on the tendency of local ontologies to pick out arbitrary scientific concepts, adapting them to study phenomena where they might not fit well. Finally, the Argument from Eliminative Prophecy details the possibility that local ontologies could eventually be rendered redundant by mature versions of scientific theories. In the end, given these challenges, I recommend an eliminativist stance toward ontology development. (shrink)

I will clarify when and how a tension arises between epistemic environmentalism (a new focus on assessing and improving the epistemic environment) and respect for epistemic autonomy (allowing, empowering, and requiring people to each govern their own beliefs). Using the example of participatory conceptual engineering (improving the linguistic environment through rational discussion with broad participation), I will also identify an option for avoiding the tension—namely, participatory environmentalism. This means a new focus on how people can each contribute to improving the (...) shared epistemic environment through rational deliberation and thereby govern their own beliefs that are shaped by that environment. (shrink)

This thesis focuses on models of conceptual change in science and philosophy. In particular, I developed a new bootstrapping methodology for studying conceptual change, centered around the formalization of several popular models of conceptual change and the collective assessment of their improved formal versions via nine evaluative dimensions. Among the models of conceptual change treated in the thesis are Carnap’s explication, Lakatos’ concept-stretching, Toulmin’s conceptual populations, Waismann’s open texture, Mark Wilson’s patches and facades, Sneed’s structuralism, and Paul Thagard’s conceptual revolutions. (...) -/- In order to analyze and compare the conception of conceptual change provided by these different models, I rely on several historical reconstructions of episodes of scientific conceptual change. The historical episodes of scientific change that figure in this work include the emergence of the morphological concept of fish in biological taxonomies, the development of scientific conceptions of temperature, the Church-Turing thesis and related axiomatizations of effective calculability, the history of the concept of polyhedron in 17th and 18th century mathematics, Hamilton’s invention of the quaternions, the history of the pre-abstract group concepts in 18th and 19th century mathematics, the expansion of Newtonian mechanics to viscous fluids forces phenomena, and the chemical revolution. I will also present five different formal and informal improvements of four specific models of conceptual change. I will first present two different improvements of Carnapian explication, a formal and an informal one. My informal improvement of Carnapian explication will consist of a more fine-grained version of the procedure that adds an intermediate, third step to the two steps of Carnapian explication. I will show how this novel three-step version of explication is more suitable than its traditional two-step relative to handle complex cases of explications. My second, formal improvement of Carnapian explication will be a full explication of the concept of explication itself within the theory of conceptual spaces. By virtue of this formal improvement, the whole procedure of explication together with its application procedures and its pragmatic desiderata will be reconceptualized as a precise procedure involving topological and geometrical constraints inside the theory of conceptual spaces. My third improved model of conceptual change will consist of a formal explication of Darwinian models of conceptual change that will make vast use of Godfrey-Smith’s population-based Darwinism for targeting explicitly mathematical conceptual change. My fourth improvement will be dedicated instead to Wilson’s indeterminate model of conceptual change. I will show how Wilson’s very informal framework can be explicated within a modified version of the structuralist model-theoretic reconstructions of scientific theories. Finally, the fifth improved model of conceptual change will be a belief-revision-like logical framework that reconstructs Thagard’s model of conceptual revolution as specific revision and contraction operations that work on conceptual structures. -/- At the end of this work, a general conception of conceptual change in science and philosophy emerges, thanks to the combined action of the three layers of my methodology. This conception takes conceptual change to be a multi-faceted phenomenon centered around the dynamics of groups of concepts. According to this conception, concepts are best reconstructed as plastic and inter-subjective entities equipped with a non-trivial internal structure and subject to a certain degree of localized holism. Furthermore, conceptual dynamics can be judged from a weakly normative perspective, bound to be dependent on shared values and goals. Conceptual change is then best understood, according to this conception, as a ubiquitous phenomenon underlying all of our intellectual activities, from science to ordinary linguistic practices. As such, conceptual change does not pose any particular problem to value-laden notions of scientific progress, objectivity, and realism. At the same time, this conception prompts all our concept-driven intellectual activities, including philosophical and metaphilosophical reflections, to take into serious consideration the phenomenon of conceptual change. An important consequence of this conception, and of the analysis that generated it, is in fact that an adequate understanding of the dynamics of philosophical concepts is a prerequisite for analytic philosophy to develop a realistic and non-idealized depiction of itself and its activities. (shrink)

Our interpretive resources enable us to make sense of, navigate, and communicate about our shared world. These resources not only carve the world up into categories, but also guide how we, individually and collectively, are oriented towards it. In this thesis, I examine how these resources, and the dispositions they guide, may be harmful. A vital kind of interpretive resources are frames, which equip us with unified perspectives on the world. Perspectives are suites of open-ended interpretive (inquisitive, attentional, inferential, evaluative, (...) and affective) dispositions. Frames thereby guide how we interpret, respond to, and navigate the world. I show that these perspectives are epistemically powerful and indispensable. I argue that flawed perspectives, and the distorting frames that produce them, are deeply pernicious and I examine their relationship to oppression. (shrink)