The rise of experimental philosophy has placed metaphilosophical questions, particularly those concerning concepts, at the center of philosophical attention. X-phi offers empirically rigorous methods for identifying conceptual content, but what exactly it contributes towards evaluating conceptual content remains unclear. We show how x-phi complements Rudolf Carnap’s underappreciated methodology for concept determination, explication. This clarifies and extends x-phi’s positive philosophical import, and also exhibits explication’s broad appeal. But there is a potential problem: Carnap’s account of explication was limited (...) to empirical and logical concepts, but many concepts of interest to philosophers are essentially normative. With formal epistemology as a case study, we show how x-phi assisted explication can apply to normative domains. (shrink)

Conceptual analysis has been a traditional methodology within analytic philosophy, but it also has been the target of numerous attacks. On the other hand, explication has been undergoing a revival as a methodological alternative due to the revisionary element associated with it. This allows for a scientific reconstruction of our ordinary notions, which would share virtues associated with scientific concepts. However, there is now a popular variant of conceptual analysis which resembles closely the explicative methodology: the two-step methodology advanced (...) by the advocates of the Canberra Plan. Although explication is a wider and more ambitious program, I will argue that both methodologies can be regarded as attempts to bring philosophical methodology and its products closer to scientific ones. However, I will also point out that, although the goal is advantageous, there still remain some theoretical problems. (shrink)

Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of general ethical (...) frameworks to clinical decision-making entails conceptual questions: Is explicability a free-standing principle? Is it already covered by the well-established four bioethical principles? Or is it an independent value that needs to be recognized as such in medical practice? We discuss these questions in a conceptual-ethical analysis, which builds upon the findings of an empirical document analysis. On the example of the medical specialty of radiology, we analyze the position of radiological associations on the ethical use of medical AI. We address three questions: Are there references to explicability or a similar concept? What are the reasons for such inclusion? Which ethical concepts are referred to? (shrink)

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)

Explication is the conceptual cornerstone of Carnap’s approach to the methodology of scientific analysis. From a philosophical point of view, it gives rise to a number of questions that need to be addressed, but which do not seem to have been fully addressed by Carnap himself. This paper reconsiders Carnapian explication by comparing it to a different approach: the ‘formalisms as cognitive tools’ conception. The comparison allows us to discuss a number of aspects of the Carnapian methodology, as (...) well as issues pertaining to formalization in general. We start by introducing Carnap’s conception of explication, arguing that there is a tension between his proposed criteria of fruitfulness and similarity; we also argue that his further desideratum of exactness is less crucial than might appear at first. We then bring in the general idea of formalisms as cognitive tools, mainly by discussing the reliability of so-called statistical prediction rules, i.e. simple algorithms used to make predictions across a range of areas. SPRs allow for a concrete instantiation of Carnap’s fruitfulness desideratum, which is arguably the most important desideratum for him. Finally, we elaborate on what we call the ‘paradox of adequate formalization’, which for the Carnapian corresponds to the tension between similarity and fruitfulness. We conclude by noting that formalization is an inherently paradoxical enterprise in general, but one worth engaging in given the ‘cognitive boost’ it affords as a tool for discovery. (shrink)

The paper argues that an account of understanding should take the form of a Carnapian explication and acknowledge that understanding comes in degrees. An explication of objectual understanding is defended, which helps to make sense of the cognitive achievements and goals of science. The explication combines a necessary condition with three evaluative dimensions: An epistemic agent understands a subject matter by means of a theory only if the agent commits herself sufficiently to the theory of the subject (...) matter, and to the degree that the agent grasps the theory (i.e., is able to make use of it), the theory answers to the facts and the agent’s commitment to the theory is justified. The threshold for outright attributions of understanding is determined contextually. The explication has descriptive as well as normative facets and allows for the possibility of understanding by means of non-explanatory (e.g., purely classificatory) theories. (shrink)

A distinction often drawn is one between conservative versus revisionary conceptions of philosophical analysis with respect to commonsensical beliefs and intuitions. This paper offers a comparative investigation of two revisionary methods: Carnapian explication and ameliorative analysis as developed by S. Haslanger. It is argued that they have a number of common features, and in particular that they share a crucial political dimension: they both have the potential to serve as instrument for social reform. Indeed, they may produce improved versions (...) of key concepts of everyday life, for example those pertaining to social categories such as gender and race, which in turn may lead to social change. The systematic comparison of these two frameworks offered here, where similarities as well as differences are discussed, is likely to provide useful guidance to practitioners of both approaches, as it will highlight important aspects of each of them that tend to remain implicit and under-theorized in existing applications of these methodologies to specific questions. (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)

The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to them is a notorious ethical problem wherever these technologies are applied, including in the medical domain, and one that has no obvious solution. This paper examines the proposal, made by Luciano Floridi and colleagues, to include a new ‘principle of explicability’ alongside the traditional four principles of bioethics that make up the theory of ‘principlism’. It specifically responds to a recent set of criticisms that (...) challenge the supposed need for such a principle to perform an enabling role in relation to the traditional four principles and therefore suggest that these four are sufficient without the addition of explicability. The paper challenges the critics’ premise that explicability cannot be an ethical principle like the classic four because it is explicitly subordinate to them. It argues instead that principlism in its original formulation locates the justification for ethical principles in a midlevel position such that they mediate between the most general moral norms and the contextual requirements of medicine. This conception of an ethical principle then provides a mold for an approach to explicability on which it functions as an enabling principle that unifies technical/epistemic demands on AI and the requirements of high-level ethical theories. The paper finishes by anticipating an objection that decision-making by clinicians and AI fall equally, but implausibly, under the principle of explicability’s scope, which it rejects on the grounds that human decisions, unlike AI’s, can be explained by their social environments. (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).

Two recently popular metaphilosophical movements, formal philosophy and experimental philosophy, promote what seem to be conflicting methodologies. Nonetheless, I argue that the two can be mutually supportive. I propose an experimentally-informed variation on explication, a powerful formal philosophical tool introduced by Carnap. The resulting method, which I call “experimental explication,” provides the formalist with a means of responding to explication's gravest criticism. Moreover, this method introduces a philosophically salient, positive role for survey-style experiments while steering clear of (...) several objections that critics of “positive experimental philosophy” raise. Thus, it provides the experimentalist with a more defensible example of how empirical work can have positive philosophical import. For these reasons, experimental explication should appeal to experimental philosophers and formal philosophers alike. (shrink)

Inductive probability is the logical concept of probability in ordinary language. It is vague but it can be explicated by defining a clear and precise concept that can serve some of the same purposes. This paper presents a general method for doing such an explication and then a particular explication due to Carnap. Common criticisms of Carnap's inductive logic are examined; it is shown that most of them are spurious and the others are not fundamental.

The paper argues that an account of understanding should take the form of a Carnapian explication and acknowledge that understanding comes in degrees. An explication of objectual understanding is defended, which helps to make sense of the cognitive achievements and goals of science. The explication combines a necessary condition with three evaluative dimensions: an epistemic agent understands a subject matter by means of a theory only if the agent commits herself sufficiently to the theory of the subject (...) matter, and to the degree that the agent grasps the theory (i.e., is able to make use of it), the theory answers to the facts and the agent’s commitment to the theory is justified. The threshold for outright attributions of understanding is determined contextually. The explication has descriptive as well as normative facets and allows for the possibility of understanding by means of non-explanatory (e.g., purely classificatory) theories. (shrink)

How can formal methods be applied to philosophical problems that involve informal concepts of ordinary language? Carnap answered this question by describing a methodology that he called “explication." Strawson objected that explication changes the subject and does not address the original philosophical problem; this paper shows that Carnap’s response to that objection was inadequate and offers a better response. More recent criticisms of explication by Boniolo and Eagle are shown to rest on misunderstandings of the nature of (...) explication. It is concluded that explication is an appropriate methodology for formal philosophy. (shrink)

A. W. Carus champions Rudolf Carnap’s ideal of explication as a model for liberal political deliberation. Constructing a linguistic framework for discussing social problems, he argues, promotes the resolution of our disputes. To flesh out and assess this proposal, I examine debate about the social institutions of marriage and adoption. Against Carus, I argue that not all citizens would accept the pragmatic principles underlying Carnap’s ideal. Nevertheless, explication may facilitate inquiry in the social sciences and be used to (...) create models that help us to understand past disputes. This latter application reveals explication’s potential for refining the social histories that inform contemporary political discourse. (shrink)

Recent years have witnessed a revival of interest in the method of explication as a procedure for conceptual engineering in philosophy and in science. In the philosophical literature, there has been a lively debate about the different desiderata that a good explicatum has to satisfy. In comparison, the goal of explicating the concept of explication itself has not been central to the philosophical debate. The main aim of this work is to suggest a way of filling this gap (...) by explicating ‘explication’ by means of conceptual spaces theory. Specifically, I show how different, strictly-conceptual readings of explication desiderata can be made precise as geometrical or topological constraints over the conceptual spaces related to the explicandum and the explicatum. Moreover, I show also how the richness of the geometrical representation of concepts in conceptual spaces theory allows us to achieve more fine-grained readings of explication desiderata, thereby overcoming some alleged limitations of explication as a procedure of conceptual engineering. (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)

I explicate how various relational interactions between (M,R)-systems may have realizations in pathophysiology, and how the possible reversals of the effects of these interactions then become therapeutic models. Functional entailment receives a rigorous category-theoretic treatment, and plays a crucial role in this continuing saga of relational biology.

How do individuals guide their activities towards some goal? Harry Frankfurt once identified the task of explaining guidance as the central problem in action theory. An explanation has proved to be elusive, however. In this paper, I show how we can marshal empirical research to make explanatory progress. I contend that human agents have a primitive capacity to guide visual attention, and that this capacity is actually constituted by a sub-individual psychological control-system: the executive system. I thus illustrate how we (...) can explain exercises of individual-level guidance by appeal to its sub-individual constitution. This opens up a new avenue for explicating agency. (shrink)

In this paper I will introduce a practical explication for the notion of expertise. At first, I motivate this attempt by taking a look on recent debates which display great disagreement about whether and how to define expertise in the first place. After that I will introduce the methodology of practical explications in the spirit of Edward Craig’s Knowledge and the state of nature along with some conditions of adequacy taken from ordinary and scientific language. This eventually culminates in (...) the respective explication of expertise according to which this term essentially refers to a certain kind of service-relation. This is why expertise should be considered as a predominantly social kind. This article will end up with a discussion of advantages and prima facie plausible objections against my account of expertise. (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)

I will defend explication, in a Carnapian sense, as a strategy for revisionary ontologists and radical sceptics. The idea is that these revisionary philosophers should explicitly commit to using expressions like “S knows that p” and “Fs exist” differently from how these expressions are used in everyday contexts. I will first motivate this commitment for these revisionary philosophers. Then, I will address the main worries that arise for this strategy: the unintelligibility worry and the topic shift worry. I will (...) focus on the latter worry and provide a solution that makes use of a distinction between practically and theoretically oriented beliefs. On my view, the revisionary philosophers who admit to departing from the everyday language can still criticize everyday knowledge and existence claims, by arguing that while the language embedded in these claims is suitable for beliefs-1, it is not suitable for beliefs-2. (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)

It is generally agreed that the method of explication consists in replacing a vague, presystematic notion (the explicandum) with a precise notion (the explicatum) formulated in a systematic context. However, Carnap and others who have used this and related terms appear to hold inconsistent views as to what constitutes an adequate explication. The central feature of the present explication of 'explication' is the correspondence condition: permitting the explicandum to deviate from some established "ordinary-language" conventions but, at (...) the same time, requiring that the explicatum correspond (via an effective translation) to the chosen "definitive intension" of the explicandum. (In effect, the first stages of an explication provide an informal characterization of a vague and possibly inconsistent language convention.) The present account of explication contrasts sharply with that sketched by Quine in Word and Object (although Quine accepts a correspondence condition of a sort). The terms `explication 1 ' and `explication 2 ' are used to indicate these quite different senses of the term. In Kaplan's terminology, explication 1 is intended to remedy "external vagueness" while explication 2 is intended to remedy "internal vagueness.". (shrink)

Philosophical debates about emergence are often marred by equivocation and lack of common ground, and dialogue about emergence between scientists and philosophers can be equally difficult. In this paper I offer a unified explication of emergence and argue that this explication can cut through much of the confusion evident in discussions of emergence. I defend an explication of the concept of emergence as the unavailability of a certain kind of scientific explanation for an observer or observers.

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)

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)

Recent years have witnessed a revival of interest in the method of explication as a procedure for conceptual engineering in philosophy and in science. In the philosophical literature, there has been a lively debate about the different desiderata that a good explicatum has to satisfy. In comparison, the goal of explicating the concept of explication itself has not been central to the philosophical debate. The main aim of this work is to suggest a way of filling this gap (...) by explicating ‘explication’ by means of conceptual spaces theory. Specifically, I show how different, strictly-conceptual readings of explication desiderata can be made precise as geometrical or topological constraints over the conceptual spaces related to the explicandum and the explicatum. Moreover, I show also how the richness of the geometrical representation of concepts in conceptual spaces theory allows us to achieve more fine-grained readings of explication desiderata, thereby overcoming some alleged limitations of explication as a procedure of conceptual engineering. (shrink)

N. Emrah Aydinonat offre une caractérisation des explications par la main invisible. Celles-ci seraient des explications partielles potentielles et seraient en mesure de nous indiquer des capacités à l’œuvre dans le monde et élargiraient notre horizon intellectuel en conceptualisant des possibilités jusqu’alors inédites. Je montre que Nancy Cartwright offre un argument permettant de douter de cette première possibilité. La science économique n’ayant que peu de principes sûrs à sa disposition et reposant ainsi sur des hypothèses auxiliaires, il est impossible d’effectuer (...) des expériences galiléennes avec les modèles et de mettre au jour les capacités. La conception d’Uskali Mäki des modèles comme isolations et systèmes de représentation laisse penser que la deuxième possibilité est néanmoins fondée. (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)

Explication usually plays the role of the method of language revision. The paper sticks to the Carnapian project of explication and develops some of the formal requirements imposed on the explicatum. However, it departs from Carnap’s view when it comes to how to construe the simplicity condition. It is suggested that in some cases the simplicity condition, which in the Carnapian project plays the derived role with respect to the other three conditions—the similarity, exactness, and fruitfulness conditions—may be (...) substantive for the overall evaluation of explications. Based on a case study of three different explications of the H-D concept of confirmation :391–437, 1991; Erkenntnis 41:183–188, 1994; Gemes in Philos Sci 60:477–487, 1993; Erkenntnis 49:1–20, 1998; Sprenger in Philos Compass 6:497–508, 2011), we show that there are cases where competing explicata of a common explicandum satisfy the first three conditions equally well. In those cases, then, the simplicity condition is supposed to make the difference. However, instead of using Carnap’s construal of simplicity, we suggest a Principle of instrumental simplicity according to which, ceteris paribus, the simpler the explicatum is, the more likely is its ‘survival’ in competition with other explicata. Moreover, it is suggested that whereas the similarity, exactness and fruitfulness conditions are, in some sense, formal criteria, the simplicity condition is rather tested empirically. (shrink)

Among philosophers, controversy over the notion of drift in population genetics is ongoing. This is at least partly because the notion of drift has an ambiguous usage among population geneticists. My goal in this paper is to explicate the causal dimension of drift, to say what causal influences are responsible for the stochasticity in population genetics models. It is commonplace for population genetics to oppose the influence of selection to that of drift, and to consider how the dynamics of populations (...) are altered when each has greater or lesser influence. I define the causes that are referred to as drift when researchers speak this way. Introduction Populations and Variant Types The Cause–Effect Ambiguity of Drift Non-directional Factors in Population Genetics How N ev Is Used in Population Genetics Causal Conceptions of Drift 6.1 The Millstein/Beatty conception of drift 6.2 Rosenberg and Bouchard: Drift as initial conditions NINPICs 7.1 Why drift is instituted by NINPICs 7.2 How NINPICS work 7.3 NINPICs and random sampling 7.4 Independent sampling and effective population size 7.5 Variance in progeny number 7.6 Population effects of NINPICs NINPICs and the Stochastic Character of Selection Theory Conclusion Appendix CiteULike Connotea Del.icio.us What's this? (shrink)

Logic is usually considered to be the study of logical consequence – of the most basic laws governing how a statement’s truth depends on the truth of other statements. Some of the pioneers of modern formal logic, notably Hilbert and Carnap, assumed that the only way to get hold of the relation of consequence was to reconstruct it as a relation of inference within a formal system built upon explicit inferential rules. Even Alfred Tarski in 1930 seemed to foresee no (...) kind of consequence other than one induced by a set of inference rules: "Let A be an arbitrary set of sentences of a particular discipline. With the help of certain operations, the so-called rules of inference, new sentences are derived from the set A, called the.. (shrink)

In many fields in the life sciences investigators refer to downward or top-down causal effects. Craver and Bechtel defended the view that such cases should be understood in terms of a constitution relation between levels in a mechanism and causation as solely an intra-level relation. Craver and Bechtel, however, provided insufficient specification as to when entities constitute a higher-level mechanism. In this paper I appeal to graph-theoretic representations of networks that are now widely employed in systems biology and neuroscience to (...) identify mechanisms with the modules that exhibit high clustering. As a result of the interconnections of nodes in these modules/mechanisms, they often exhibit complex dynamic behaviors that constrain how the individual components respond to external inputs, an important feature of cases viewed as involving top-down causation. (shrink)

In this paper I discuss possible ways of measuring the power of arithmetical theories, and the possiblity of making an explication in Carnap's sense of this concept. Chaitin formulates several suggestions how to construct measures, and these suggestions are reviewed together with some new and old critical arguments. I also briefly review a measure I have designed together with some shortcomings of this measure. The conclusion of the paper is that it is not possible to formulate an explication (...) of the concept. (shrink)

In recent years two different axiomatic characterizations of the intuitive concept of effective calculability have been proposed, one by Sieg and the other by Dershowitz and Gurevich. Analyzing them from the perspective of Carnapian explication, I argue that these two characterizations explicate the intuitive notion of effective calculability in two different ways. I will trace back these two ways to Turing’s and Kolmogorov’s informal analyses of the intuitive notion of calculability and to their respective outputs: the notion of computorability (...) and the notion of algorithmability. I will then argue that, in order to adequately capture the conceptual differences between these two notions, the classical two-step picture of explication is not enough. I will present a more fine-grained three-step version of Carnapian explication, showing how with its help the difference between these two notions can be better understood and explained. (shrink)

In recent years there has been a robust but inconclusive debate over the existence and nature of indeterminacy in the world as described by quantum mechanics. I suggest that the inconclusive nature of the debate stems from starting from a metaphysical theory of indeterminacy. I propose instead framing the issue as a Carnapian explication project: start with the informal notion of indeterminacy used by physicists, and consider how best to make that concept precise. I defend a precisification based on (...) von Neumann’s interpretation of quantum states, and consider the nature of the indeterminacy that results. (shrink)

Accounts of logical independence which coincide when applied in the case of classical logic diverge elsewhere, raising the question of what a satisfactory all-purpose account of logical independence might look like. ‘All-purpose’ here means: working satisfactorily as applied across different logics, taken as consequence relations. Principal candidate characterizations of independence relative to a consequence relation are that there the consequence relation concerned is determined by only by classes of valuations providing for all possible truth-value combinations for the formulas whose independence (...) is at issue, and that the consequence relation ‘says’ nothing special about how those formulas are related that it does not say about arbitrary formulas. Each of these proposals returns counterintuitive verdicts in certain cases—the truth-value inspired approach classifying certain cases one would like to describe as involving failures of independence as being cases of independence, and the de Jongh approach counting some intuitively independent pairs of formulas as not being independent after all. In final section, a modification of the latter approach is tentatively sketched to correct for these misclassifications. The attention is on conceptual clarification throughout, rather than the provision of technical results. Proofs, as well as further elaborations, are lodged in the ‘longer notes’ in a final Appendix. (shrink)

In adopting a deontological lens to assess message ethicality, this study identifies and explicates the ethical dimensions of fast food advertising through five principles of the TARES framework of persuasion ethics. In moral weight, fast food—with its high calories and low nutritional value—is negatively prejudiced. A deontological-ethical perspective, by focusing on the quality of the advertising message, shifts the focus from the product to a more measured deliberation about the moral responsibility of fast food advertisers to reposition them as moral (...) agents who are accountable for their messages. A content analysis of 380 television and print ads for fast food in Singapore shows that few ads met the TARES's expectations. Ads targeting children and teenagers are associated with lower message ethicality than ads targeting adults and the general audience, lending empirical support to the literature critical of fast food advertising's insidious approach of targeting the young. (shrink)

In this paper, we reconsider the highly underrated Carnap–Sellars relationship, arguing that Sellars might be able to provide an interesting resolution to some of Carnap’s finest problems around explication by offering a grand-scale picture of science/common-sense or manifest interactions. The narrative developed here points toward the need for some stratification and re-evaluation of a field of scholarship that all too often still engages in challenging and contradictory dichotomies, undermining the genuine intentions of scholars who were collaborating with, as well (...) as living and researching in parallel with each other. We would like to explore what these figures can offer to each other, and whether, for example, a truly Sellarsian perspective could illuminate any problematic points in Carnap that have not yet been problematized by Carnapians but could still improve the original system. (shrink)

Developing and implementing artificial intelligence (AI) systems in an ethical manner faces several challenges specific to the kind of technology at hand, including ensuring that decision-making systems making use of machine learning are just, fair, and intelligible, and are aligned with our human values. Given that values vary across cultures, an additional ethical challenge is to ensure that these AI systems are not developed according to some unquestioned but questionable assumption of universal norms but are in fact compatible with the (...) societies in which they operate. This is particularly pertinent for AI research and implementation across Africa, a ground where AI systems are and will be used but also a place with a history of imposition of outside values. In this paper, we thus critically examine one proposal for ensuring that decision-making systems are just, fair, and intelligible—that we adopt a principle of explicability to generate specific recommendations—to assess whether the principle should be adopted in an African research context. We argue that a principle of explicability not only can contribute to responsible and thoughtful development of AI that is sensitive to African interests and values, but can also advance tackling some of the computational challenges in machine learning research. In this way, the motivation for ensuring that a machine learning-based system is just, fair, and intelligible is not only to meet ethical requirements, but also to make effective progress in the field itself. (shrink)

On dit souvent que, tandis que la biologie de l'évolution utilise un concept étiologique de fonction (la fonction d'un trait biologique n'est autre que son effet sélectionné), la physiologie prend appui sur un autre concept de fonction, celui de rôle causal. Cependant, un examen plus attentif montre que le concept non normatif de rôle causal n'est pas ce dont la physiologie générale ou la neurophysiologie ont besoin. Ces disciplines font un large usage de notions comme celles de bon fonctionnement, de (...) fonctionnement normal, de fonctionnement perturbé ou de trouble fonctionnel. Il semble ainsi qu'un concept normatif comme le concept étiologique n'est pas seulement utile dans le contexte d'explications téléologiques ou évolutionnistes, mais aussi dans celui d'explications mécanistes ou opérationnelles telles qu'elles sont couramment proposées par la physiologie. La différence entre types d'explication n'est pas une différence entre deux concepts de fonction. En particulier, l'analyse physiologique serait une tâche impossible si elle devait prendre en compte toutes les relations causales à l'intérieur de l'organisation fonctionnelle de chaque système biologique. Pour résoudre ce problème, la physiologie doit être une analyse du fonctionnement normal du système, quelle que soit la part d'idéalisation nécessaire. La notion de bon fonctionnement, conçu comme le produit de l'histoire évolutive, nous aide en particulier à comprendre pourquoi les systèmes qui fonctionnent bien se ressemblent, et pourquoi les systèmes qui dysfonctionnent peuvent le faire de tant de façons différentes. It is often claimed that although evolutionary biology uses an etiological concept of function (according to etiological theory, the function of a biological feature is its selected effect), physiology relies on a different concept of function, the causal role concept. However, upon closer scrutiny, it appears that the non-normative causal role concept is not what is needed by physiology or neurophysiology. These disciplines make a wide use of normative notions like proper functioning, normal functioning, impaired functioning, or functional disorders. In this case, it seems that a normative concept like the etiological concept is not only useful in the context of teleological or evolutionary explanations, but also in the context of mechanical or operational explanations as they are routinely offered by physiology. The difference between types of explanations is not a difference between two kinds of concepts of function. In particular, physiological analysis would be an impossible task if it had to take into account all causal links within the functional organization of each biological system. To solve this problem, physiology has to be the analysis of the proper or normal functioning of the system, even if normal functioning is usually obtained through a process of idealization. The notion of proper functioning, conceived as the product of evolutionary history, helps us understand, among other things, why properly functioning systems tend to be similar, and why malfunctioning systems may differ in so many different ways. (shrink)

The concept of political obligation has not attracted much attention within Heideggerian scholarship. In this paper, we identify and explicate Heidegger’s conception of political obligation embedded in his pre-Kehre works. It will be argued that Heidegger’s magnum opus Being and Time and his address as Rector of Freiburg contain a latent associative account of political obligation. We argue that the ontological framework disclosed in Being and Time and the more concrete policy prescriptions of the Rectoral Address reveal a communitarian ethos (...) which animates the early Heideggerian canon and grounds his account of political obligation. For Heidegger, Dasein must be connected to a particular community’s ontological heritage in order to delimit its ontical possibilities in concrete situations. It will be argued that this relationship between ontological heritage and ontical possibilities is what defines political obligation for Heidegger. (shrink)