In this paper, I respond to three critical notices of The Practical Origins of Ideas: Genealogy as Conceptual Reverse-Engineering, written by Cheryl Misak, Alexander Prescott-Couch, and Paul Roth, respectively. After contrasting genealogical conceptual reverse-engineering with conceptual reverse-engineering, I discuss pragmatic genealogy’s relation to history. I argue that it would be a mistake to understand pragmatic genealogy as a fiction (or a model, or an idealization) as opposed to a form of historical (...) explanation. That would be to rely on precisely the stark dichotomy between idealization and history that I propose to call into question. Just as some historical explanations begin with a functional hypothesis arrived at through idealization as abstraction, some pragmatic genealogies embody an abstract form of historiography, stringing together, in a way that is loosely indexed to certain times and places, the most salient needs responsible for giving a concept the contours it now has. I then describe the naturalistic stance that I find expressed in the pragmatic genealogies I consider in the book before examining the evaluative standard at work in those genealogies, defusing the charge that they involve a commitment to a ‘stingy axiology’. (shrink)

Why did such highly abstract ideas as truth, knowledge, or justice become so important to us? What was the point of coming to think in these terms? This book presents a philosophical method designed to answer such questions: the method of pragmatic genealogy. Pragmatic genealogies are partly fictional, partly historical narratives exploring what might have driven us to develop certain ideas in order to discover what these do for us. The book uncovers an under-appreciated tradition of pragmatic genealogy which cuts (...) across the analytic-continental divide, running from the state-of-nature stories of David Hume and the early genealogies of Friedrich Nietzsche to recent work in analytic philosophy by Edward Craig, Bernard Williams, and Miranda Fricker. However, these genealogies combine fictionalizing and historicizing in ways that even philosophers sympathetic to the use of state-of-nature fictions or real history have found puzzling. To make sense of why both fictionalizing and historicizing are called for, the book offers a systematic account of pragmatic genealogies as dynamic models serving to reverse-engineer the points of ideas in relation not only to near-universal human needs, but also to socio-historically situated needs. This allows the method to offer us explanation without reduction and to help us understand what led our ideas to shed the traces of their practical origins. Far from being normatively inert, moreover, pragmatic genealogy can affect the space of reasons, guiding attempts to improve our conceptual repertoire by helping us determine whether and when our ideas are worth having. (shrink)

In this précis of The Practical Origins of Ideas: Genealogy as Conceptual Reverse-Engineering (OUP 2021), I summarize the key claims of the book. The book describes, develops, and defends an underappreciated methodological tradition: the tradition of pragmatic genealogy, which aims to identify what our loftiest and most inscrutable conceptual practices do for us by telling strongly idealized, but still historically informed stories about what might have driven people to adopt and elaborate them as they did. What (...) marks out this methodological tradition, I argue, is that it synthesizes two genres of philosophical genealogy that are standardly set against each other: state-of-nature fictions on the one hand and patiently documentary historiography on the other. These two genres of genealogy are usually taken to be mutually exclusive and to answer to radically different philosophical interests and temperaments. But I offer a systematic account of a tradition that combines both genres into a single genealogical method, augmenting genealogy’s power and range by harnessing the strengths and possibilities of both genres. (shrink)

Three philosophical accounts of risk dominate the contemporary literature. On the probabilistic account, risk has to do with the probability of a disvaluable event obtaining; on the modal account, it has to do with the modal closeness of that event obtaining; on the normic account, it has to do with the normalcy of that event obtaining. The debate between these accounts has proceeded via counterexample-trading, with each account having some cases it explains better than others, and some cases that it (...) cannot explain at all. In this article, we attempt to break the impasse between the three accounts of risk through a shift in methodology. We investigate the concept of risk via the method of conceptual reverse-engineering, whereby a theorist reconstructs the need that a concept serves for a group of agents in order to illuminate the shape of the concept: its intension and extension. We suggest that risk functions to meet our need to make decisions that reduce disvalue under conditions of uncertainty. Our project makes plausible that risk is a pluralist concept: meeting this need requires that risk takes different forms in different contexts. But our pluralism is principled: each of these different forms are part of one and the same concept, that has a ‘core-to-periphery’ structure, where the form the concept takes in typical cases (at its ‘core’) explains the form it takes in less typical cases (at its ‘periphery’). We then apply our findings to epistemic risk, to resolve an ambiguity in how ‘epistemic risk’ is standardly understood. (shrink)

In Documentary Across Platforms, noted scholar of film and experimental media Patricia R. Zimmermann offers a glimpse into the ever-evolving constellation of practices known as "documentary" and the way in which they investigate, engage with, and interrogate the world. Collected here for the first time are her celebrated essays and speculations about documentary, experimental, and new media published outside of traditional scholarly venues. These essays envision documentary as a complex ecology composed of different technologies, sets of practices, and specific relationships (...) to communities, engagement, politics, and social struggles. Through the lens of reverse engineering--the concept that ideas just like objects can be disassembled to learn how they work and then rebuilt into something new and better--Zimmermann explores how numerous small-scale documentary works present strategies of intervention into existing power structures. Adaptive to their context, modular, and unfixed, the documentary practices she explores exploit both sophisticated high-end professional and consumer-grade amateur technologies, moving through different political terrains, different platforms, and different exhibition contexts. Together these essays demonstrate documentary's role as a conceptual practice to think through how the world is organized and to imagine ways that it might be reorganized with actions, communities, and ideas. (shrink)

Daniel C. Dennett ha dedicado una parte considerable de su obra a concebir una aplicación de la ingeniería inversa y el adaptacionismo para explicar la evolución de la mente humana. Dennet considera esta perspectiva como una posibilidad prometedora en el desarrollo de una psicología científica, en contraposición al "materialismo eliminacionista" de la neurociencia. En este artículo se expone una aproximación conceptual y se examina un antecedente filosófico en las discusiones sobre el adaptacionismo en biología y psicología evolutiva: la intencionalidad (...) o teoría de los sistemas intencionales. Daniel C. Dennett has dedicated a great part of his work to the conception of an application of reverse engineering and adaptationism in order to explain the evolution of the human mind. Dennett sees this perspective as a promising possibility in the development of a scientific psychology, in contrast to the "eliminative materialism" of neuroscience. The article provides a conceptual approach and examines a philosophical precedent in the discussions regarding adaptationism in biology and evolutionary psychology: intentionality or the theory of intentional systems. Daniel C. Dennett dedicou uma parte considerável de sua obra a conceber uma aplicação da engenharia inversa e do adaptacionismo para explicar a evolução da mente humana. Dennett considera essa perspectiva como uma possibilidade prometedora no desenvolvimento de uma psicologia científica, em contraposição ao "materialismo eliminacionista" da neurociência. Neste artigo, expõe-se uma aproximação conceitual e examina-se um antecedente filosófico nas discussões sobre o adaptacionismo em biologia e psicologia evolutiva: a intencionalidade ou teoria dos sistemas intencionais. (shrink)

This paper begins by raising a puzzle about what function our use of the word ‘rational’ could serve. To solve the puzzle, I introduce a view I call Epistemic Communism: we use epistemic evaluations to promote coordination among our basic belief-forming rules, and the function of this is to make the acquisition of knowledge by testimony more efficient.

Bayesian reverse-engineering is a research strategy for developing three-level explanations of behavior and cognition. Starting from a computational-level analysis of behavior and cognition as optimal probabilistic inference, Bayesian reverse-engineers apply numerous tweaks and heuristics to formulate testable hypotheses at the algorithmic and implementational levels. In so doing, they exploit recent technological advances in Bayesian artificial intelligence, machine learning, and statistics, but also consider established principles from cognitive psychology and neuroscience. Although these tweaks and heuristics are highly pragmatic (...) in character and are often deployed unsystematically, Bayesian reverse-engineering avoids several important worries that have been raised about the explanatory credentials of Bayesian cognitive science: the worry that the lower levels of analysis are being ignored altogether; the challenge that the mathematical models being developed are unfalsifiable; and the charge that the terms ‘optimal’ and ‘rational’ have lost their customary normative force. But while Bayesian reverse-engineering is therefore a viable and productive research strategy, it is also no fool-proof recipe for explanatory success. (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)

I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.

Describing a cognitive system at a mechanistic level requires an engineering task analysis. This involves identifying the task and developing models of possible solutions. Evolutionary psychology and Bayesian modeling make complimentary contributions: Evolutionary psychology suggests the types of tasks that human brains were designed to solve, while Bayesian modeling provides a rigorous description of possible computational solutions to such problems.

An important open problem in Reverse Mathematics is the reduction of the first-order strength of the base theory from IΣ1IΣ1 to IΔ0+expIΔ0+exp. The system ERNA, a version of Nonstandard Analysis based on the system IΔ0+expIΔ0+exp, provides a partial solution to this problem. Indeed, weak Königʼs lemma and many of its equivalent formulations from Reverse Mathematics can be ‘pushed down’ into ERNA, while preserving the equivalences, but at the price of replacing equality with ‘≈’, i.e. infinitesimal proximity . The (...) logical principle corresponding to weak Königʼs lemma is the universal transfer principle from Nonstandard Analysis. Here, we consider the intermediate and mean value theorem and their uniform generalizations. We show that ERNAʼs Reverse Mathematics mirrors the situation in classical Reverse Mathematics. This further supports our claim from Sanders [19] that the Reverse Mathematics of ERNA plus universal transfer is a copy up to infinitesimals of that of WKL0. We discuss some of the philosophical implications of our results. (shrink)

Concerns with the use of engineering approaches in biology have recently been raised. I examine two related challenges to biological research that I call the synchronic and diachronic underdetermination problem. The former refers to challenges associated with the inference of design principles underlying system capacities when the synchronic relations between lower-level processes and higher-level systems capacities are degenerate. The diachronic underdetermination problem regards the problem of reverse engineering a system where the non-linear relations between system capacities and (...) lower-level mechanisms are changing over time. Braun and Marom argue that recent insights to biological complexity leave the aim of reverse engineering hopeless - in principle as well as in practice. While I support their call for systemic approaches to capture the dynamic nature of living systems, I take issue with the conflation of reverse engineering with naïve reductionism. I clarify how the notion of design principles can be more broadly conceived and argue that reverse engineering is compatible with a dynamic view of organisms. It may even help to facilitate an integrated account that bridges the gap between mechanistic and systems approaches. (shrink)

In this paper I argue the best examples of the methods in the evolutionary social sciences don’t actually resemble either of the two methods called “Adaptive Thinking” or “Reverse Engineering” described by evolutionary psychologists. Both AT and RE have significant problems. Instead, the best adaptationist work in the ESSs seems to be based on and is aiming at a different method that avoids the problems of AT and RE: it is a behavioral level method that starts with information (...) about both the trait in question and knowledge of the EEA. I describe some examples from the literature, and suggest how a behavioral level ESS might still contribute to the discovery and understanding of human psychology. Finally, I describe some remaining problems for adaptationist reasoning of this kind. (shrink)

The vivid terms, "Top-down" and "Bottom-up" have become popular in several different contexts in cognitive science. My task today is to sort out some different meanings and comment on the relations between them, and their implications for cognitive science.

Frost's critique reveals the limitations of the reverse-engineering approach to cognitive modeling – the style of psychological explanation in which a stipulated internal organization explains a relatively narrow set of phenomena. An alternative is to view organization as both the explanation for some phenomena and a phenomenon to be explained. This move poses new and interesting theoretical challenges for theories of word reading.

Taking Carnap’s classic exposition as a starting point, this paper develops a pragmatic account of the method of explication, defends it against a range of challenges and proposes a detailed recipe for the practice of explicating. It is then argued that confusions are involved in characterizing explications as definitions, and in advocating precising definitions as an alternative to explications. Explication is better characterized as conceptual re-engineering for theoretical purposes, in contrast to conceptual re-engineering for other purposes (...) and improving exactness for purely practical reasons. Finally, three limitations which call for further development of the method of explication are discussed. (shrink)

Why do we spend so much of our time passing on amusing anecdotes, making wisecracks,watching The Simpsons? In Inside Jokes, Matthew Hurley, DanielDennett, and Reginald Adams offer an evolutionary and cognitive perspective.

Some things are funny -- jokes, puns, sitcoms, Charlie Chaplin, The Far Side, Malvolio with his yellow garters crossed -- but why? Why does humor exist in the first place? Why do we spend so much of our time passing on amusing anecdotes, making wisecracks, watching _The Simpsons_? In _Inside Jokes_, Matthew Hurley, Daniel Dennett, and Reginald Adams offer an evolutionary and cognitive perspective. Humor, they propose, evolved out of a computational problem that arose when our long-ago ancestors were furnished (...) with open-ended thinking. Mother Nature -- aka natural selection -- cannot just order the brain to find and fix all our time-pressured misleaps and near-misses. She has to bribe the brain with pleasure. So we find them funny. This wired-in source of pleasure has been tickled relentlessly by humorists over the centuries, and we have become addicted to the endogenous mind candy that is humor. (shrink)

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)

Facebook research has proliferated during recent years. However, since November 2017, Facebook has introduced a new limitation on the maximum amount of page posts retrievable through their Graph application programming interface, while there is limited documentation on how these posts are selected. This paper compares two datasets of the same Facebook page, a full dataset obtained before the introduction of the limitation and a partial dataset obtained after, and employs bootstrapping technique to assess the bias caused by the new limitation. (...) This paper demonstrates that posts with high user engagement, Photo posts and Video posts, are over-represented, while Link posts are under-represented. Top-term analysis reveals that there are significant differences in the most prominent terms between the full and partial dataset. This paper also reverse engineered the new application programming interface’s ranking algorithm to identify the features of a post that would affect its odds of being selected. Sentiment analysis reveals that there are significant differences in the sentiment word usage between the selected and non-selected posts. This paper has significant implications for the representativeness of research that use Facebook page data collected after the introduction of the limitation. (shrink)

1. When we face a choice among conflicting actions, it is necessary to prioritize one action over others. This paper explores the issue of whether there is a universal priority, and if so, how we c...

In this article, I side with those who argue that the debate about the definition of “disease” should be reoriented from the question “what is disease” to the question of what it should be. However, I ground my argument on the rejection of the naturalist approach to define disease and the adoption of a normativist approach, according to which the concept of disease is normative and value-laden. Based on this normativist approach, I defend two main theses: (1) that conceptual (...) analysis is not the right method to define disease and that conceptual engineering should be the preferred method and (2) that the method of conceptual engineering should be implemented following the principles of Alexandrova’s account of social objectivity in the context of the definition of disease. (shrink)

Conceptual engineering is thought to face an ‘implementation challenge’: the challenge of securing uptake of engineered concepts. But is the fact that implementation is challenging really a defect to be overcome? What kind of picture of political life would be implied by making engineering easy to implement? We contend that the ambition to obviate the implementation challenge goes against the very idea of liberal democratic politics. On the picture we draw, the implementation challenge can be overcome by (...) institutionalizing control over conceptual uptake, and there are contexts—such as professions that depend on coordinated conceptual innovation—in which there are good reasons to institutionalize control in this fashion. But the liberal fear of this power to control conceptual uptake ending up in the wrong hands, combined with the democratic demand for freedom of thought as a precondition of genuine consent, yields a liberal democratic rationale for keeping implementation challenging. (shrink)

According to predictive processing, an increasingly influential paradigm in cognitive science, the function of the brain is to minimize the prediction error of its sensory input. Conceptual engineering is the practice of assessing and changing concepts or word meanings. We contribute to both strands of research by proposing the first cognitive account of conceptual engineering, using the predictive processing framework. Our model reveals a new kind of implementation problem as prediction errors are only minimized if enough (...) agents embrace conceptual changes. This problem can be overcome by emphasizing the importance of social norms and conceptual pluralism. (shrink)

Examining previous discussions on how to construe the concepts of gender and race, we advocate what we call strategic conceptual engineering. This is the employment of a (possibly novel) concept for specific epistemic or social aims, concomitant with the openness to use a different concept (e.g., of race) for other purposes. We illustrate this approach by sketching three distinct concepts of gender and arguing that all of them are needed, as they answer to different social aims. The first (...) concept serves the aim of identifying and explaining gender-based discrimination. It is similar to Haslanger’s well-known account, except that rather than offering a definition of ‘woman’ we focus on ‘gender’ as one among several axes of discrimination. The second concept of gender is to assign legal rights and social recognitions, and thus is to be trans-inclusive. We argue that this cannot be achieved by previously suggested concepts that include substantial gender-related psychological features, such as awareness of social expectations. Instead, our concept counts someone as being of a certain gender solely based on the person’s self-identification with this gender. The third concept of gender serves the aim of personal empowerment by means of one’s gender identity. In this context, substantial psychological features and awareness of one’s social situation are involved. While previous accounts of concepts have focused on their role in determining extensions, we point to contexts where a concept’s role in explanation and moral reasoning can be more important. (shrink)

Failure to take note of distinctive attributes in the distal stimulus leads to an inadequate proximal encoding. Representation of similarities in Chorus suffers in this regard. Distinctive qualities may require additional complex representation (e.g., reference to linguistic terms) in order to facilitate discrimination. Additional semantic information, which configures proximal attributes, permits accurate identification of true veridical stimuli.

Conceptual engineering and conceptual ethics are branches of philosophy concerned with questions about how to assess and ameliorate our representational devices (such as concepts and words). It's a part of philosophy concerned with questions about which concepts we should use (and why), how concepts can be improved, when concepts should be abandoned, and how proposals for amelioration can be implemented. Central parts of the history of philosophy have engaged with these issues, but the focus of this volume (...) is on applications to work in contemporary philosophy of language and mind, epistemology, gender and race theory, ethics, philosophy of science, and philosophical logic. This is the first volume devoted entirely to conceptual engineering and conceptual ethics. The volume explores the possibilities, benefits, problems, and applications of conceptual engineering and conceptual ethics. It consists of twenty chapters written by leading philosophers. (shrink)

Conceptual engineers seek to revise or replace the devices we use to speak and think. If this amounts to an effort to change what natural language expressions mean, conceptual engineers will have a hard time. It is largely unfeasible to change the meaning of e.g. ‘cause’ in English. Conceptual engineers may therefore seem unable to make the changes they aim to make. This is what I call ‘the implementation problem’. In this paper, I argue that the implementation (...) problem dissolves if we expand our view of how conceptual engineers could implement the products of their work. I describe four implementation options: Standing Meaning, Meaning Modulation, Speaker-Meaning and Different Language. I query the feasibility and worth of pursuing these options. Unless each option fails because it is unfeasible or not worthwhile, conceptual engineers do not face an implementation problem worth worrying about. I argue that some of the options are feasible and worthwhile, and therefore, that conceptual engineers do not face an implementation problem worth worrying about. (shrink)

I call the activity of assessing and developing improvements of our representational devices ‘conceptual engineering’.¹ The aim of this chapter is to present an argument for why conceptual engineering is important for all parts of philosophy (and, more generally, all inquiry). Section I of the chapter provides some background and defines key terms. Section II presents the argument. Section III responds to seven objections. The replies also serve to develop the argument and clarify what conceptual (...) engineering is. (shrink)

Conceptual engineers aim to revise rather than describe our concepts. But what are concepts? And how does one engineer them? Answering these questions is of central importance for implementing and theorizing about conceptual engineering. This paper discusses and criticizes two influential views of this issue: semanticism, according to which conceptual engineers aim to change linguistic meanings, and psychologism, according to which conceptual engineers aim to change psychological structures. I argue that neither of these accounts can (...) give us the full story. Instead, I propose and defend the Dual Content View of Conceptual Engineering. On this view, conceptual engineering targets concepts, where concepts are understood as having two kinds of contents: referential content and cognitive content. I show that this view is independently plausible and that it gives us a comprehensive account of conceptual engineering that helps to make progress on some of the most difficult problems surrounding conceptual engineering. (shrink)

Using the example of recent attempts to engineer the concept of conspiracy theory, I argue that philosophers should be far more circumspect in their approach to conceptual engineering than we have been – in particular, that we should pay much closer attention to the history behind and context that surrounds our target concept in order to determine whether it is a site of what I have elsewhere called ‘conceptual domination’. If it is, we may well have good (...) reason to avoid engineering. In their recent ‘What is a Conspiracy Theory?’, M. Giulia Napolitano and Kevin Reuter argue that the disagreement between generalists and particularists in the literature on conspiracy theories is best characterized as a set of dueling conceptual engineering projects. While I agree with their turn to this metaphilosophical literature, I give a very different account of its applicability. Particularists, on my account, are better read as aiming to diagnose the ways in which many discussions of the concept of conspiracy theories are a form of conceptual domination, where this broader context should then prompt us to abandon or block any concept of conspiracy theory that treats its referents as inherently defective. Broader metaphilosophical lessons are drawn. (shrink)

ABSTRACT Conceptual engineering aims to improve our concepts. That's plausibly an extremely difficult thing to do. Should this make us sceptical of the idea that philosophers should try to do it? You might think so. Cappelen, in his Fixing Language: an Essay on Conceptual Engineering, thinks it shouldn't stop us – but his stated reasons are not really encouraging. In this paper, I say what I think Cappelen should have said, on the basis of a very (...) rough cost-benefit analysis. (shrink)

Experimental Philosophy (X-Phi) is now a fully-fledged methodological project with applications in almost all areas of analytic philosophy, including, as of recently, aesthetics. Another methodological project which has been attracting attention in the last few years is conceptual engineering (CE). Its areas of implementation are now diverse, but as was the case initially with experimental philosophy, aesthetics has unfortunately been left out (or perhaps aestheticians have failed to pay attention to CE) until now. In this paper, I argue (...) that if conceptual engineers are interested in expanding their project to the field of aesthetics, which would greatly benefit the field, then they should rely on the existing experimental work of aestheticians. Experimental philosophers have only recently started to join forces with conceptual engineers in various fields, as well as to explore the methodological implications of such an alliance. This paper goes a step further by not only arguing that CE has potential in aesthetics, but that the way to realize this potential is to piggyback, so to speak, on the work of experimental aestheticians. In other words, instead of building a CE project in aesthetics from the ground up, this paper describes the support that CE can and should derive from current experimental aesthetics, thereby making the former’s development more efficiently realizable. Furthermore, I argue that doing so would also be beneficial to experimental aesthetics. Currently, the integration of X-Phi to the wider field of aesthetics is losing ground because certain objections—notably, the objection that X-Phi cannot be of relevance to normative questions—have not been properly refuted. By pairing up with a normative programme like CE, though, experimental aestheticians should finally be able to put these objections to rest. (shrink)

This paper explores the question: What would conceptual engineering have to be in order to promote social justice? Specifically, it argues that to promote social justice, conceptual engineering must deliver the following: it needs to be possible to deliberately implement a conceptual engineering proposal in large communities; it needs to be possible for a conceptual engineering proposal to bring about change to extant social categories; it needs to be possible to bring a (...) population to adopt a conceptual engineering proposal for the right reasons; and it needs to be possible to do – without producing harmful consequences. I show that, of the three dominant approaches to conceptual engineering in the literature, only one of them seems amenable to the idea that it is possible and legitimate to promote social justice in accordance with –. (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)

This paper empirically raises and examines the question of ‘conceptual control’: To what extent are competent thinkers able to reason properly with new senses of words? This question is crucial for conceptual engineering. This prominently discussed philosophical project seeks to improve our representational devices to help us reason better. It frequently involves giving new senses to familiar words, through normative explanations. Such efforts enhance, rather than reduce, our ability to reason properly, only if competent language users are (...) able to abide by the relevant explanations, in language comprehension and verbal reasoning. This paper examines to what extent we have such ‘conceptual control’ in reasoning with new senses. The paper draws on psycholinguistic findings about polysemy processing to render this question empirically tractable and builds on recent findings from experimental philosophy to address it. The paper identifies a philosophically important gap in thinkers’ control over the key process of stereotypical enrichment and discusses how conceptual engineers can use empirical methods to work around this gap in conceptual control. The paper thus empirically demonstrates the urgency of the question of conceptual control and explains how experimental philosophy can empirically address the question, to render conceptual engineering feasible as an ameliorative enterprise. (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)

In this project I am concerned with the extent to which conceptual engineering happens in domains outside of philosophy, and if so, what that might look like. Specifically, I’ll argue that...