In this volume, a range of high-profile researchers in philosophy of mind, philosophy of cognitive science, and empirical cognitive science, critically engage with Clark's work across the themes of: Extended, Embodied, Embedded, Enactive, and Affective Minds; Natural Born Cyborgs; and Perception, Action, and Prediction. Daniel Dennett provides a foreword on the significance of Clark's work, and Clark replies to each section of the book, thus advancing current literature with original contributions that will form the basis for new discussions, debates and (...) directions in the discipline. (shrink)

It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the phenomenon to be (...) explained, the kind of unification afforded by the Bayesian framework to cognitive science does not necessarily reveal aspects of a mechanism. Bayesian unification, nonetheless, can place fruitful constraints on causal–mechanical explanation. 1 Introduction2 What a Great Many Phenomena Bayesian Decision Theory Can Model3 The Case of Information Integration4 How Do Bayesian Models Unify?5 Bayesian Unification: What Constraints Are There on Mechanistic Explanation?5.1 Unification constrains mechanism discovery5.2 Unification constrains the identification of relevant mechanistic factors5.3 Unification constrains confirmation of competitive mechanistic models6 ConclusionAppendix. (shrink)

Bazzocchi disposes the text of the Tractatus in a user-friendly manner, exactly as Wittgenstein's decimals advise. This discloses the logical form of the book by distinct reading units, linked into a fashioned hierarchical tree. The text becomes much clearer and every reader can enjoy, finally, its formal and literary qualities.

It is widely held that all lies are assertions: the traditional definition of lying entails that, in order to lie, speakers have to assert something they believe to be false. It is also widely held that assertion contrasts with presupposition and, in particular, that one cannot assert something by presupposing it. Together, these views imply that speakers cannot lie with presuppositions—a view that Andreas Stokke has recently explicitly defended. The aim of this paper is to argue that speakers can lie (...) with presuppositions, and to discuss some of the implications this outcome has for current research on lying, assertion and presupposition. (shrink)

Comprehensive in scope and research, this book will be a crucial resource for researchers in the medical sciences, as well as teachers and students alike.

Because rate of force development is an emerging outcome measure for the assessment of neuromuscular function in unfatigued conditions, and it represents a valid alternative/complement to the classical evaluation of pure maximal strength, this scoping review aimed to map the available evidence regarding RFD as an indicator of neuromuscular fatigue. Thus, following a general overview of the main studies published on this topic, we arbitrarily compared the amount of neuromuscular fatigue between the “gold standard” measure and peak, early and late (...) RFD. Seventy full-text articles were included in the review. The most-common fatiguing exercises were resistance exercises, endurance exercises/locomotor activities, isokinetic contractions, and simulated/real sport situations. The most widely tested tasks were knee extension and plantar flexion. The reason for evaluating RFD was lacking in 36% of the studies. On average, the amount of fatigue for MVF was comparable to late RFD but lower compared to both peak RFD and early RFD. Even if the rationale for evaluating RFD in the fatigued state was often lacking and the specificity between test task and fatiguing exercise characteristics was not always respected in the included studies, RFD seems to be a valid indicator of neuromuscular fatigue. Based on our arbitrary analyses, peak RFD and early phase RFD appear even to be more sensitive to quantify neuromuscular fatigue than MVF and late phase RFD. (shrink)

The distinction between lying and mere misleading is commonly tied to the distinction between saying and conversationally implicating. Many definitions of lying are based on the idea that liars say something they believe to be false, while misleaders put forward a believed-false conversational implicature. The aim of this paper is to motivate, spell out, and defend an alternative approach, on which lying and misleading differ in terms of commitment: liars, but not misleaders, commit themselves to something they believe to be (...) false. This approach entails that lying and misleading involve speech-acts of different force. While lying requires the committal speech-act of asserting, misleading involves the non-committal speech-act of suggesting. The approach leads to a broader definition of lying that can account for lies that are told while speaking non-literally or with the help of presuppositions, and it allows for a parallel definition of misleading, which so far is lacking in the debate. (shrink)

Some naturalistic philosophers of mind subscribing to the predictive processing theory of mind have adopted a realist attitude towards the results of Bayesian cognitive science. In this paper, we argue that this realist attitude is unwarranted. The Bayesian research program in cognitive science does not possess special epistemic virtues over alternative approaches for explaining mental phenomena involving uncertainty. In particular, the Bayesian approach is not simpler, more unifying, or more rational than alternatives. It is also contentious that the Bayesian approach (...) is overall better supported by the empirical evidence. So, to develop philosophical theories of mind on the basis of a realist interpretation of results from Bayesian cognitive science is unwarranted. Naturalistic philosophers of mind should instead adopt an anti-realist attitude towards these results and remain agnostic as to whether Bayesian models are true. For continuing on with an exclusive focus and praise of Bayes within debates about the predictive processing theory will impede progress in philosophical understanding of scientific practice in computational cognitive science as well as of the architecture of the mind. (shrink)

We analyze recent criticisms of the use of hyperreal probabilities as expressed by Pruss, Easwaran, Parker, and Williamson. We show that the alleged arbitrariness of hyperreal fields can be avoided by working in the Kanovei–Shelah model or in saturated models. We argue that some of the objections to hyperreal probabilities arise from hidden biases that favor Archimedean models. We discuss the advantage of the hyperreals over transferless fields with infinitesimals. In Paper II we analyze two underdetermination theorems by Pruss and (...) show that they hinge upon parasitic external hyperreal-valued measures, whereas internal hyperfinite measures are not underdetermined. (shrink)

To understand the endogenous components of the event-related brain potential (ERP), we must use data about the components' antecedent conditions to form hypotheses about the information-processing function of the underlying brain activity. These hypotheses, in turn, generate testable predictions about the consequences of the component. We review the application of this approach to the analysis of the P300 component. The amplitude of the P300 is controlled multiplicatively by the subjective probability and the task relevance of the eliciting events, whereas its (...) latency depends on the duration of stimulus evaluation. These and other factors suggest that the P300 is a manifestation of activity occurring whenever one's model of the environment must be revised. Tests of three predictions based on this “context updating” model are reviewed. Verleger's critique is based on a misconstrual of the model as well as a partial and misleading reading of the relevant literature. (shrink)

Dieses Buch bietet die erste systematische Interpretation von Husserls Ideen für eine reine Phänomenologie und phänomenologische Philosophie anhand der neuen kritischen Edition von Ideen II. Es ermöglicht eine phänomenologische Auslegung des allgemein-metaphysischen Problems, wie physische, mentale und soziale Tatsachen zusammenhängen. Das Buch diskutiert und interpretiert detailliert einige von Husserls zentralen Konzeptionen und zeigt die Konsequenzen seines Denkansatzes und seiner Theorieentwicklung. Natur und Gemeingeist sind Husserl zufolge die Grundbegriffe der naturalistischen und der personalistischen Einstellungen und dienen als Leitfaden der Unterscheidung zwischen (...) Natur- und Geisteswissenschaften. In der kritischen Auseinandersetzung mit diesem wissenschaftstheoretischen Dualismus führt Husserl den Habitus-Begriff methodisch ein, um das Verhältnis von Natur- und Sozialontologie aus der konkreten Erfahrung heraus phänomenologisch neu zu deuten, womit der spätere, anti-dualistische Weg der Lebensweltphänomenologie vorbereitet wird. In Husserls Studien zur Regionalontologie des Gemeingeistes rückt das konkrete Subjekt in den Vordergrund der Intentionalitätsanalyse, indem die sinntragenden Elemente der Inaktualitität auf Habitualisierungsprozesse und die Intersubjektivität auf Sozialisierungsstufen zurückgeführt werden. Dank der durch den Habitus-Begriff ermöglichten klaren Unterscheidung zwischen konstituierender Aktualität und konstitutiver Relevanz des inaktuellen Horizonts kann Husserls Philosophie des Geistes als individualistisch und holistisch zugleich gelten. Dieser ontologischen Position entspricht auch Husserls sozialepistemologische Ansicht, dass sich Wissenschaften erst im Rahmen idealisierter Sozialstrukturen entfalten können. Durch diese idealisierenden Operationen wird die Konstitution der Objektivität möglich, welche die Wissenschaften anstreben. Deren Rationalität ist deshalb in ihren konkreten und idealisierten Sozialitätsstufen und Habitualitäten zu befragen. (shrink)

Drawing on evolutionary epistemology, process ontology, and a social-cognition approach, this book suggests cognitive evolution, an evolutionary-constructivist social and normative theory of change and stability of international social orders. It argues that practices and their background knowledge survive preferentially, communities of practice serve as their vehicle, and social orders evolve. As an evolutionary theory of world ordering, which does not borrow from the natural sciences, it explains why certain configurations of practices organize and govern social orders epistemically and normatively, and (...) why and how these configurations evolve from one social order to another. Suggesting a multiple and overlapping international social orders' approach, the book uses three running cases of contested orders - Europe's contemporary social order, the cyberspace order, and the corporate order - to illustrate the theory. Based on the concepts of common humanity and epistemological security, the author also submits a normative theory of better practices and of bounded progress. (shrink)

ABSTRACTA probability model is underdetermined when there is no rational reason to assign a particular infinitesimal value as the probability of single events. Pruss claims that hyperreal probabilities are underdetermined. The claim is based upon external hyperreal-valued measures. We show that internal hyperfinite measures are not underdetermined. The importance of internality stems from the fact that Robinson’s transfer principle only applies to internal entities. We also evaluate the claim that transferless ordered fields may have advantages over hyperreals in probabilistic modeling. (...) We show that probabilities developed over such fields are less expressive than hyperreal probabilities. (shrink)

In Emanuel Adler's distinctive constructivist approach to international relations theory, international practices evolve in tandem with collective knowledge of the material and social worlds. This book - comprising a selection of his journal publications, a new introduction and three previously unpublished articles - points IR constructivism in a novel direction, characterized as 'communitarian'. Adler's synthesis does not herald the end of the nation-state; nor does it suggest that agency is unimportant in international life. Rather, it argues that what mediates between (...) individual and state agency and social structures are communities of practice, which are the wellspring and repositories of collective meanings and social practices. The concept of communities of practice casts new light on epistemic communities and security communities, helping to explain why certain ideas congeal into human practices and others do not, and which social mechanisms can facilitate the emergence of normatively better communities. (shrink)

In this paper we show how some reasoning, though fallacious, can appear to be attractive and useful for beings-like-us. Although they do not provide conclusive evidence to support or reject a certain claim the way scientific statements do, they tell us something interesting about how humans build up their arguments and reasons. First of all, we will consider and investigate three main types of fallacies: argumentum ad hominem, argumentum ad verecundiam, and argumentum ad populum. These three fallacies are traditionally considered (...) as examples of a broader category called ignoratio elenchi. Secondly, we show how people who commit these fallacies rely on information about other human beings in their reasoning. That is, they do not follow certain logical procedures that eventually lead them to correct conclusions. But they simply make use of others as social characters. For example, being an authority, being an expert, being part of a class, etc., become the substitutes for more direct evidence to support a certain claim or to make an argument more appealing. (shrink)

Many recent definitions of lying are based on the notion of what is said. This paper argues that says-based definitions of lying cannot account for lies involving non-literal speech, such as metaphor, hyperbole, loose use or irony. It proposes that lies should instead be defined in terms of assertion, where what is asserted need not coincide with what is said. And it points to possible implications this outcome might have for the ethics of lying.

In this paper I will discuss some issues related to a recent trend in experimental philosophy (or x-phi), and try to show the reasons of its late (and scarce) involvement with aesthetics, compared to other areas of philosophical investigation. In order to do this, it is first necessary to ask how an autonomous experimental philosophy of aesthetics could be related to the long-standing tradition of psychological experimental aesthetics. After distinguishing between a “narrow” and a “broad” approach of experimental philosophy, I (...) will then make a distinction between topics in aesthetics pertaining to perceptual and cognitive processes, and traditional issues involved in the analysis of general and culturally-laden concepts. The narrow program of experimental philosophy, focused on the investigation of folk intuitions, is particularly effective only when two general conditions are met: the use of hypothetical scenarios (testing of thought experiments) and the heuristic role of folk intuitions in drawing philosophically relevant conclusions. I will argue that, when aesthetics is concerned, these requirements are not easily met. These difficulties notwithstanding, I will support a pluralistic view where aesthetics is revealed as an instructive example of how experimental approaches and traditional “armchair” philosophy integrate, and enrich each other. (shrink)

Dieses Buch bietet die erste systematische Interpretation von Husserls Ideen für eine reine Phänomenologie und phänomenologische Philosophie anhand der neuen kritischen Edition von Ideen II. Es ermöglicht eine phänomenologische Auslegung des allgemein-metaphysischen Problems, wie physische, mentale und soziale Tatsachen zusammenhängen. Das Buch diskutiert und interpretiert detailliert einige von Husserls zentralen Konzeptionen und zeigt die Konsequenzen seines Denkansatzes und seiner Theorieentwicklung. Natur und Gemeingeist sind Husserl zufolge die Grundbegriffe der naturalistischen und der personalistischen Einstellungen und dienen als Leitfaden der Unterscheidung zwischen (...) Natur- und Geisteswissenschaften. In der kritischen Auseinandersetzung mit diesem wissenschaftstheoretischen Dualismus führt Husserl den Habitus-Begriff methodisch ein, um das Verhältnis von Natur- und Sozialontologie aus der konkreten Erfahrung heraus phänomenologisch neu zu deuten, womit der spätere, anti-dualistische Weg der Lebensweltphänomenologie vorbereitet wird. In Husserls Studien zur Regionalontologie des Gemeingeistes rückt das konkrete Subjekt in den Vordergrund der Intentionalitätsanalyse, indem die sinntragenden Elemente der Inaktualitität auf Habitualisierungsprozesse und die Intersubjektivität auf Sozialisierungsstufen zurückgeführt werden. Dank der durch den Habitus-Begriff ermöglichten klaren Unterscheidung zwischen konstituierender Aktualität und konstitutiver Relevanz des inaktuellen Horizonts kann Husserls Philosophie des Geistes als individualistisch und holistisch zugleich gelten. Dieser ontologischen Position entspricht auch Husserls sozialepistemologische Ansicht, dass sich Wissenschaften erst im Rahmen idealisierter Sozialstrukturen entfalten können. Durch diese idealisierenden Operationen wird die Konstitution der Objektivität möglich, welche die Wissenschaften anstreben. Deren Rationalität ist deshalb in ihren konkreten und idealisierten Sozialitätsstufen und Habitualitäten zu befragen. (shrink)

The free-energy principle states that all systems that minimize their free energy resist a tendency to physical disintegration. Originally proposed to account for perception, learning, and action, the free-energy principle has been applied to the evolution, development, morphology, anatomy and function of the brain, and has been called a postulate, an unfalsifiable principle, a natural law, and an imperative. While it might afford a theoretical foundation for understanding the relationship between environment, life, and mind, its epistemic status is unclear. Also (...) unclear is how the free-energy principle relates to prominent theoretical approaches to life science phenomena, such as organicism and mechanism. This paper clarifies both issues, and identifies limits and prospects for the free-energy principle as a first principle in the life sciences. (shrink)

Book reviewed in this article: Principles of Biomedical Ethics. By Tom L. Beauchamp and James F. Childress.

Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of (...) its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science. (shrink)

In this paper we show how some reasoning, though fallacious, can appear to be attractive and useful for beings-like-us. Although they do not provide conclusive evidence to support or reject a certain claim the way scientific statements do, they tell us something interesting about how humans build up their arguments and reasons. First of all, we will consider and investigate three main types of fallacies: argumentum ad hominem , argumentum ad verecundiam , and argumentum ad populum . These three fallacies (...) are traditionally considered as examples of a broader category called ignoratio elenchi. Secondly, we show how people who commit these fallacies rely on information about other human beings in their reasoning. That is, they do not follow certain logical procedures that eventually lead them to correct conclusions. But they simply make use of others as social characters. For example, being an authority, being an expert, being part of a class, etc., become the substitutes for more direct evidence to support a certain claim or to make an argument more appealing. (shrink)

In arguing against a supposed ambiguity, philosophers often rely on the zeugma test. In an application of the zeugma test, a supposedly ambiguous expression is placed in a sentence in which several of its supposed meanings are forced together. If the resulting sentence sounds zeugmatic, that is taken as evidence for ambiguity; if it does not sound zeugmatic, that is taken as evidence against ambiguity. The aim of this article is to show that arguments based on the second direction of (...) the test are misguided: ambiguous expressions, and in particular philosophically contested ones, do not reliably lead to zeugmaticity, so an absence of zeugmaticity provides no meaningful evidence for an absence of ambiguity. (shrink)

In the past few years, machine learning (ML) tools have been implemented with success in the medical context. However, several practitioners have raised concerns about the lack of transparency—at the algorithmic level—of many of these tools; and solutions from the field of explainable AI (XAI) have been seen as a way to open the ‘black box’ and make the tools more trustworthy. Recently, Alex London has argued that in the medical context we do not need machine learning tools to be (...) interpretable at the algorithmic level to make them trustworthy, as long as they meet some strict empirical desiderata. In this paper, we analyse and develop London’s position. In particular, we make two claims. First, we claim that London’s solution to the problem of trust can potentially address another problem, which is how to evaluate the reliability of ML tools in medicine for regulatory purposes. Second, we claim that to deal with this problem, we need to develop London’s views by shifting the focus from the opacity of algorithmic details to the opacity of the way in which ML tools are trained and built. We claim that to regulate AI tools and evaluate their reliability, agencies need an explanation of how ML tools have been built, which requires documenting and justifying the technical choices that practitioners have made in designing such tools. This is because different algorithmic designs may lead to different outcomes, and to the realization of different purposes. However, given that technical choices underlying algorithmic design are shaped by value-laden considerations, opening the black box of the design process means also making transparent and motivating (technical and ethical) values and preferences behind such choices. Using tools from philosophy of technology and philosophy of science, we elaborate a framework showing how an explanation of the training processes of ML tools in medicine should look like. (shrink)

Pictures are notably absent from the current debate about how to define lying. Theorists in this debate tend to focus on linguistic means of communication and do not consider the possibility of lying with photographs, drawings and other kinds of pictures. The aim of this paper is to show that such a narrow focus is misguided: there is a strong case to be made for the possibility of lying with pictures and this possibility allows for insights concerning the question of (...) how lying should be defined. (shrink)

Intentionalism is the view that demonstratives, gradable adjectives, quantifiers, modals and other context‐sensitive expressions are intention‐sensitive: their semantic value on a given use is fixed by speaker intentions. The first aim of this paper is to defend Intentionalism against three recent objections, according to which speakers at least sometimes do not have suitable intentions when using supposedly intention‐sensitive expressions. Its second aim is to thereby shed light on the so far little‐explored question of which kinds of intentions can be semantically (...) relevant. (shrink)

In the past few years, the ethical ramifications of AI technologies have been at the center of intense debates. Considerable attention has been devoted to understanding how a morally responsible practice of data science can be promoted and which values have to shape it. In this context, ethics and moral responsibility have been mainly conceptualized as compliance to widely shared principles. However, several scholars have highlighted the limitations of such a principled approach. Drawing from microethics and the virtue theory tradition, (...) in this paper, we formulate a different approach to ethics in data science which is based on a different conception of “being ethical” and, ultimately, of what it means to promote a morally responsible data science. First, we develop the idea that, rather than only compliance, ethical decision-making consists in using certain moral abilities, which are cultivated by practicing and exercising them in the data science process. An aspect of virtue development that we discuss here is moral attention, which is the ability of data scientists to identify the ethical relevance of their own technical decisions in data science activities. Next, by elaborating on the capability approach, we define a technical act as ethically relevant when it impacts one or more of the basic human capabilities of data subjects. Therefore, rather than “applying ethics”, data scientists should cultivate ethics as a form of reflection on how technical choices and ethical impacts shape one another. Finally, we show how this microethical framework concretely works, by dissecting the ethical dimension of the technical procedures involved in data understanding and preparation of electronic health records. (shrink)

This paper investigates the determinants of regulatory compliance in corporate organizations. Exploiting a unique enforcement and reporting framework for insider trading in Italy, we present three main findings. First, board governance, such as chief executive–chairman duality and the proportion of non-executive directors, does not increase the propensity of firms to comply with regulation. Second, family firms and firms with a high degree of separation of ownership from control are most likely to comply with regulation. Third, corporate ethos is more important (...) in predicting regulatory compliance than explicit corporate governance structures. (shrink)

A widely shared view in the cognitive sciences is that discovering and assessing explanations of cognitive phenomena whose production involves uncertainty should be done in a Bayesian framework. One assumption supporting this modelling choice is that Bayes provides the best approach for representing uncertainty. However, it is unclear that Bayes possesses special epistemic virtues over alternative modelling frameworks, since a systematic comparison has yet to be attempted. Currently, it is then premature to assert that cognitive phenomena involving uncertainty are best (...) explained within the Bayesian framework. As a forewarning, progress in cognitive science may be hindered if too many scientists continue to focus their efforts on Bayesian modelling, which risks to monopolize scientific resources that may be better allocated to alternative approaches. (shrink)

Background: The health professionals are involved in the paths of care for patients with different medical conditions. Their life is frequently characterized by psychopathological outcomes so that it is possible to identify consistent burdens. Besides the possibility to develop pathological outcomes, some protective factors such as resilience play a fundamental role in facilitating the adaptation process and the management of maladaptive patterns. Personal characteristics and specific indexes such as burdens and resilience are essential variables useful to study in-depth ongoing conditions (...) and possible interventions. The study was aimed at highlighting the presence and the relations among factors as personal variables, burdens, and resilience, to understand health professionals' specific structure and functions.Methods: The observation group was composed of 210 participants, 55 males, and 155 females, aged from 18 to 30 years old with a mean age of 25.92 years old. The study considered personal characteristics of the subjects, such as age, gender, years of study, days of work per week, hours of work per week, and years of work. Our study had been conducted with the use of measures related to burdens and resilience.Results: The performed analyses consisted of descriptive statistics, correlations, and regressions among the considered variables. Several significant correlations emerged among personal characteristics, CBI, and RSA variables. Specifically, age and work commitment indexes appeared to be significantly related to the development of burdens, differently from the years of study. Significant correlations emerged among personal and RSA variables, indicating precise directions for both domains. Age and gender were identified as predictors to perform multivariate regression analyses concerning CBI factors. Significant dependence relations emerged with reference to all CBI variables.Conclusion: Pathological outcomes and resilience factors represent two sides of the health professionals' experiences, also known as “invisible patients.” Greater knowledge about present conditions and future possibilities is a well-known need in literature so that the current analyses considered fundamental factors. In line with state of the art, future studies are needed in order to deepen elusive phenomena underlying maladjustment. (shrink)

In the science and values literature, scholars have shown how science is influenced and shaped by values, often in opposition to the ‘value free’ ideal of science. In this paper, we aim to contribute to the science and values literature by showing that the relation between science and values flows not only from values into scientific practice, but also from (allegedly neutral) science to values themselves. The extant literature in the ‘science and values’ field focuses by and large on reconstructing, (...) post hoc, how values have influenced science; our reconstruction of the case studies, instead, aims to show that scientific concepts and methods _too, because of specific identifiable characteristics,_ can promote some values rather than (or at the expense of) others. We explain this bidirectional relation in analogy to debates on the normativity of technical artifacts and on feminist approaches in science, and we illustrate our claims with cases from the health sciences and machine learning. While our arguments in this paper also draw on post hoc reconstructions, we intend to show where, in the science in the making, we should engage not only with the question whether a practice is value-laden, but also how specific conceptual and methodological choices can influence values down the road. All in all, these considerations expand the ways in which philosophers can contribute to more value-aware scientific practices. (shrink)

Recently, biologists have argued that data - driven biology fosters a new scientific methodology; namely, one that is irreducible to traditional methodologies of molecular biology defined as the discovery strategies elucidated by mechanistic philosophy. Here I show how data - driven studies can be included into the traditional mechanistic approach in two respects. On the one hand, some studies provide eliminative inferential procedures to prioritize and develop mechanistic hypotheses. On the other, different studies play an exploratory role in providing useful (...) generalizations to complement the procedure of prioritization. Overall this paper aims to shed light on the structure of contemporary research in molecular biology. (shrink)

Four ethical values — maximizing benefits, treating equally, promoting and rewarding instrumental value, and giving priority to the worst off — yield six specific recommendations for allocating medical resources in the Covid-19 pandemic: maximize benefits; prioritize health workers; do not allocate on a first-come, first-served basis; be responsive to evidence; recognize research participation; and apply the same principles to all Covid-19 and non–Covid-19 patients.

ABSTRACT Copredication, as exhibited by sentences such as ‘That book is heavy but informative,’ is commonly seen as a phenomenon that is tied to sentences featuring polysemous expressions. David Liebesman and Ofra Magidor have recently attacked this view by arguing that ‘book’ has a single context-sensitive sense. The first aim of the present paper is to show that Liebesman and Magidor are wrong to claim that ‘book’ is univocal, but that they may nonetheless be right to question that copredication requires (...) polysemy. Its second aim is to consider implications of this result for the debates on copredication and on semantic variability. (shrink)

Lying requires asserting a disbelieved proposition, that much is widely accepted in the debate on how to define lying. But what else is required? Does lying require a particular linguistic manner of expression, such as saying? Does the proposition asserted have to be false (and not merely disbelieved)? And does lying require an intention to deceive? The aim of this chapter is to provide an opinionated introduction to the debates on these questions that takes into account both theoretical considerations and (...) empirical data. (shrink)

According to the free energy principle, life is an “inevitable and emergent property of any random dynamical system at non-equilibrium steady state that possesses a Markov blanket” :20130475, 2013). Formulating a principle for the life sciences in terms of concepts from statistical physics, such as random dynamical system, non-equilibrium steady state and ergodicity, places substantial constraints on the theoretical and empirical study of biological systems. Thus far, however, the physics foundations of the free energy principle have received hardly any attention. (...) Here, we start to fill this gap and analyse some of the challenges raised by applications of statistical physics for modelling biological targets. Based on our analysis, we conclude that model-building grounded in the free energy principle exacerbates a trade-off between generality and realism, because of a fundamental mismatch between its physics assumptions and the properties of actual biological targets. (shrink)

Sam Berstler defends a general moral advantage for misleading over lying by arguing that liars, but not misleaders, act unfairly toward the other members of their linguistic community. This article spells out three difficulties for Berstler’s account. First, though Berstler aims to avoid an error theory, it is dubitable that her account fits with intuitions on the matter. Second, there are some lies that do not exhibit the unfairness Berstler identifies. Third, fairness is not the only morally relevant difference between (...) lying and misleading. (shrink)

Throughout the years a lively debate has flourished around niche construction theory. A source of contention has been the distinction between narrow and broad construction activities proposed by critics. Narrow construction is limited to the production of evolutionarily advantageous artifacts while broad construction refers to construction activities that have an impact on the ecosystem but offer little or negative adaptive feedback to the organisms. The first has been acknowledged as relevant to evolutionary studies in that it increases species’ fitness and (...) it is genetically inherited, while the second has been dismissed as accessory and irrelevant. I argue this distinction is unsatisfactory and leads to misinterpreting the achievements of niche construction theory. Instead I propose a three-tier categorization of constructionism (literal, analogical, and figurative) based on the analysis of the metaphor of construction itself. I show metaphors are not a mere rhetorical device but represent an instrument through which theories evolve and introduce new elements. In fact through this categorization I will be able to highlight two innovative features of constructionism: the introduction of reciprocal causation as a main causal framework and the expansion of studies about evolution to large frameworks involving multiple levels of biological organization. I will show their role in each of the three kinds of construction in order to offer a better understanding of the distinctive features of the niche construction approach. The innovations introduced encourage the revision of the concepts of adaptation and enlarge the range of phenomena to be considered relevant in biological studies. (shrink)

Life-science phenomena are often explained by specifying the mechanisms that bring them about. The new mechanistic philosophers have done much to substantiate this claim and to provide us with a better understanding of what mechanisms are and how they explain. Although there is disagreement among current mechanists on various issues, they share a common core position and a seeming commitment to some form of scientific realism. But is such a commitment necessary? Is it the best way to go about mechanistic (...) explanation? In this article, we propose an alternative antirealist account that also fits explanatory practice in the life sciences. We pay special attention to mechanistic models, i.e. scientific models that involve a mechanism, and to the role of coherence considerations in building such models. To illustrate our points, we consider the mechanism for the action potential. 1 Introduction2 Some Core Features of Mechanistic Explanation3 Scientific Realism and Mechanistic Explanation4 Antirealist Mechanistic Explanation: The Case of the Action Potential5 Some Outstanding Issues for the Antirealist Mechanist6 Two Problems for the Realist Mechanist7 Conclusions. (shrink)

Machine learning (ML) has been praised as a tool that can advance science and knowledge in radical ways. However, it is not clear exactly how radical are the novelties that ML generates. In this article, I argue that this question can only be answered contextually, because outputs generated by ML have to be evaluated on the basis of the theory of the science to which ML is applied. In particular, I analyze the problem of novelty of ML outputs in the (...) context of molecular biology. In order to do this, I first clarify the nature of the models generated by ML. Next, I distinguish three ways in which a model can be novel (from the weakest to the strongest). Third, I dissect the way ML algorithms work and generate models in molecular biology and genomics. On these bases, I argue that ML is either a tool to identify instances of knowledge already present and codified, or to generate models that are novel in a weak sense. The notable contribution of ML to scientific discovery in the context of biology is that it can aid humans in overcoming potential bias by exploring more systematically the space of possible hypotheses implied by a theory. (shrink)