In his famous article “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” Eugen Wigner argues for a unique tie between mathematics and physics, invoking even religious language: “The miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve”. The possible existence of such a unique match between mathematics and physics has been extensively discussed by philosophers and historians of mathematics. Whatever the merits (...) of this claim are, a further question can be posed with regard to mathematization in science more generally: What happens when we leave the area of theories and laws of physics and move over to the realm of mathematical modeling in interdisciplinary contexts? Namely, in modeling the phenomena specific to biology or economics, for instance, scientists often use methods that have their origin in physics. How is this kind of mathematical modeling justified? (shrink)

Gene regulatory networks are intensively studied in biology. One of the main aims of these studies is to gain an understanding of how the structure of genetic networks relates to specific functions such as chemotaxis and the circadian clock. Scientists have examined this question by using model organisms such as Drosophila and mathematical models. In the last years, synthetic models—engineered genetic networks—have become more and more important in the exploration of gene regulation. What is the potential of this new approach (...) in the investigation of gene network structures? How do synthetic models relate to model organisms and mathematical models? (shrink)

The question is discussed how noise gained a functional meaning in the context of biology. According to the common view, noise is considered a disturbance or perturbation. I analyze how this understanding changed and what kind of developments during the last 10 years contributed to the emergence of a new understanding of noise. Results gained during a field study in a synthetic biology laboratory show that the emergence of this new research discipline—its highly interdisciplinary character, its new technologies and novel (...) modeling strategies—provided essential impulses, which led to the observed change in the concept of noise. The laboratory study is combined with a historical analysis, which explores the general question as to how concepts travel between disciplines and, specifically, how noise was transferred from engineering and physics into biology. In the past, scientists, such as Lotka and Goodwin, tried to introduce a statistical mechanics into biology and discussed the problem of “unfitting” concepts. The change in the meaning of the concept can be interpreted as a way of making it fit to the novel context in which it is applied. (shrink)

One striking feature of the contemporary modeling practice is its interdisciplinarity: the same function forms and equations, and mathematical and computational methods are being transferred across disciplinary boundaries. Within philosophy of science this interdisciplinary dimension of modeling has been addressed by both analogy and template-based approaches that have proceeded separately from each other. We argue that a more fully-blown account of model transfer needs both perspectives. We examine analogical reasoning and template application through a detailed case study on the transfer (...) of the Ising model from physics into neuroscience. Our account combines the analogy and template-based approaches through the notion of a model template that highlights the conceptual side of model transfer. (shrink)

History of science has developed into a methodologically diverse discipline, adding greatly to our understanding of the interplay between science, society, and culture. Along the way, one original impetus for the then newly emerging discipline—what George Sarton called the perspective “from the point of view of the scientist”—dropped out of fashion. This essay shows, by means of several examples, that reclaiming this interaction between science and history of science yields interesting perspectives and new insights for both science and history of (...) science. The authors consequently suggest that historians of science also adopt this perspective as part of their methodological repertoire. (shrink)

ABSTRACT Is there something specific about modelling that distinguishes it from many other theoretical endeavours? We consider Michael Weisberg’s thesis that modelling is a form of indirect representation through a close examination of the historical roots of the Lotka–Volterra model. While Weisberg discusses only Volterra’s work, we also study Lotka’s very different design of the Lotka–Volterra model. We will argue that while there are elements of indirect representation in both Volterra’s and Lotka’s modelling approaches, they are largely due to two (...) other features of contemporary model construction processes that Weisberg does not explicitly consider: the methods-drivenness and outcome-orientedness of modelling. 1Introduction 2Modelling as Indirect Representation 3The Design of the Lotka–Volterra Model by Volterra 3.1Volterra’s method of hypothesis 3.2The construction of the Lotka–Volterra model by Volterra 4The Design of the Lotka–Volterra Model by Lotka 4.1Physical biology according to Lotka 4.2Lotka’s systems approach and the Lotka–Volterra model 5Philosophical Discussion: Strategies and Tools of Modelling 5.1Volterra’s path from the method of isolation to the method of hypothesis 5.2The template-based approach of Lotka 5.3Modelling: methods-driven and outcome-oriented 6Conclusion. (shrink)

One striking feature of the contemporary modelling practice is its interdisciplinary nature. The same equation forms, and mathematical and computational methods, are used across different disciplines, as well as within the same discipline. Are there, then, differences between intra- and interdisciplinary transfer, and can the comparison between the two provide more insight on the challenges of interdisciplinary theoretical work? We will study the development and various uses of the Ising model within physics, contrasting them to its applications to socio-economic systems. (...) While the renormalization group methods justify the transfer of the Ising model within physics – by ascribing them to the same universality class – its application to socio-economic phenomena has no such theoretical grounding. As a result, the insights gained by modelling socio-economic phenomena by the Ising model may remain limited. (shrink)

The picture of synthetic biology as a kind of engineering science has largely created the public understanding of this novel field, covering both its promises and risks. In this paper, we will argue that the actual situation is more nuanced and complex. Synthetic biology is a highly interdisciplinary field of research located at the interface of physics, chemistry, biology, and computational science. All of these fields provide concepts, metaphors, mathematical tools, and models, which are typically utilized by synthetic biologists by (...) drawing analogies between the different fields of inquiry. We will study analogical reasoning in synthetic biology through the emergence of the functional meaning of noise, which marks an important shift in how engineering concepts are employed in this field. The notion of noise serves also to highlight the differences between the two branches of synthetic biology: the basic science-oriented branch and the engineering-oriented branch, which differ from each other in the way they draw analogies to various other fields of study. Moreover, we show that fixing the mapping between a source domain and the target domain seems not to be the goal of analogical reasoning in actual scientific practice. (shrink)

Synthetic biology has a strong modal dimension that is part and parcel of its engineering agenda. In turning hypothetical biological designs into actual synthetic constructs, synthetic biologists reach towards potential biology instead of concentrating on naturally evolved organisms. We analyze synthetic biology’s goal of making biology easier to engineer through the combinatorial theory of possibility, which reduces possibility to combinations of individuals and their attributes in the actual world. While the last decades of synthetic biology explorations have shown biology to (...) be much more difficult to engineer than originally conceived, synthetic biology has not given up its combinatorial approach. (shrink)

Synthetic biology is often understood in terms of the pursuit for well-characterized biological parts to create synthetic wholes. Accordingly, it has typically been conceived of as an engineering dominated and application oriented field. We argue that the relationship of synthetic biology to engineering is far more nuanced than that and involves a sophisticated epistemic dimension, as shown by the recent practice of synthetic modeling. Synthetic models are engineered genetic networks that are implanted in a natural cell environment. Their construction is (...) typically combined with experiments on model organisms as well as mathematical modeling and simulation. What is especially interesting about this combinational modeling practice is that, apart from greater integration between these different epistemic activities, it has also led to the questioning of some central assumptions and notions on which synthetic biology is based. As a result synthetic biology is in the process of becoming more “biology inspired.”. (shrink)

The attempt to define life has gained new momentum in the wake of novel fields such as synthetic biology, astrobiology, and artificial life. In a series of articles, Cleland, Chyba, and Machery claim that definitions of life seek to provide necessary and sufficient conditions for applying the concept of life—something that such definitions cannot, and should not do. We argue that this criticism is largely unwarranted. Cleland, Chyba, and Machery approach definitions of life as classifying devices, thereby neglecting their other (...) epistemic roles. We identify within the discussions of the nature and origin of life three other types of definitions: theoretical, transdisciplinary, and diagnostic definitions. The primary aim of these definitions is not to distinguish life from nonlife, although they can also be used for classificatory purposes. We focus on the definitions of life within the budding field of astrobiology, paying particular attention to transdisciplinary definitions, and diagnostic definitions in the search for biosignatures from other planets. (shrink)

Recently, Bechtel and Abrahamsen have argued that mathematical models study the dynamics of mechanisms by recomposing the components and their operations into an appropriately organized system. We will study this claim through the practice of combinational modeling in circadian clock research. In combinational modeling, experiments on model organisms and mathematical/computational models are combined with a new type of model—a synthetic model. We argue that the strategy of recomposition is more complicated than what Bechtel and Abrahamsen indicate. Moreover, synthetic modeling as (...) a kind of material recomposition strategy also points beyond the mechanistic paradigm. (shrink)

Synthetic biology is often understood in terms of the pursuit for well-characterized biological parts to create synthetic wholes. Accordingly, it has typically been conceived of as an engineering dominated and application oriented field. We argue that the relationship of synthetic biology to engineering is far more nuanced than that and involves a sophisticated epistemic dimension, as shown by the recent practice of synthetic modeling. Synthetic models are engineered genetic networks that are implanted in a natural cell environment. Their construction is (...) typically combined with experiments on model organisms as well as mathematical modeling and simulation. What is especially interesting about this combinational modeling practice is that, apart from greater integration between these different epistemic activities, it has also led to the questioning of some central assumptions and notions on which synthetic biology is based. As a result synthetic biology is in the process of becoming more “biology inspired.”. (shrink)

One of the most conspicuous features of contemporary modeling practices is the dissemination of mathematical and computational methods across disciplinary boundaries. We study this process through two applications of the Ising model: the Sherrington-Kirkpatrick model of spin glasses and the Hopfield model of associative memory. The Hopfield model successfully transferred some basic ideas and mathematical methods originally developed within the study of magnetic systems to the field of neuroscience. As an analytical resource we use Paul Humphreys's discussion of computational and (...) theoretical templates. We argue that model templates are crucial for the intra- and interdisciplinary theoretical transfer. A model template is an abstract conceptual idea associated with particular mathematical forms and computational methods. (shrink)

How do philosophers of science make use of historical case studies? Are their accounts of historical cases purpose-built and lacking in evidential strength as a result of putting forth and discussing philosophical positions? We will study these questions through the examination of three different philosophical case studies. All of them focus on modeling and on Vito Volterra, contrasting his work to that of other theoreticians. We argue that the worries concerning the evidential role of historical case studies in philosophy are (...) partially unfounded, and the evidential and hermeneutical roles of case studies need not be played against each other. In philosophy of science, case studies are often tied to conceptual and theoretical analysis and development, rendering their evidential and theoretic/hermeneutic roles intertwined. Moreover, the problems of resituating or generalizing local knowledge are not specific to philosophy of science but commonplace in many scientific practices—which show similarities to the actual use of historical case studies by philosophers of science. (shrink)

This paper distinguishes between causal isolation robustness analysis and independent determination robustness analysis and suggests that the triangulation of the results of different epistemic means or activities serves different functions in them. Circadian clock research is presented as a case of causal isolation robustness analysis: in this field researchers made use of the notion of robustness to isolate the assumed mechanism behind the circadian rhythm. However, in contrast to the earlier philosophical case studies on causal isolation robustness analysis (Weisberg and (...) Reisman in Philos Sci 75:106–131, 2008 ; Kuorikoski et al. in Br J Philos Sci 61:541–567, 2010 ), robustness analysis in the circadian clock research did not remain in the level of mathematical modeling, but it combined it with experimentation on model organisms and a new type of model, a synthetic model. (shrink)

This paper examines two parallel discussions of scientific modeling which have invoked experimentation in addressing the role of models in scientific inquiry. One side discusses the experimental character of models, whereas the other focuses on their exploratory uses. Although both relate modeling to experimentation, they do so differently. The former has considered the similarities and differences between models and experiments, addressing, in particular, the epistemic value of materiality. By contrast, the focus on exploratory modeling has highlighted the various kinds of (...) exploratory functions of models in the early stages of inquiry. These two perspectives on modeling are discussed through a case study in the field of synthetic biology. The research practice in question explores biological control by making use of an ensemble of different epistemic means: mathematical models and simulations, synthetic genetic circuits and intracellular measuring devices, and finally electronic circuits. We argue that the study of exploratory modeling should trace the ways different epistemic means, in different materialities, are being combined over time. Finally, the epistemic status of such novel investigative objects as synthetic genetic circuits is evaluated, with the conclusion that they can function as both experiments and models. (shrink)

In which respects do modeling and experimenting resemble or differ from each other? We explore this question through studying in detail the combinatorial strategy in synthetic biology whereby scientists triangulate experimentation on model organisms, mathematical modeling, and synthetic modeling. We argue that this combinatorial strategy is due to the characteristic constraints of the three epistemic activities. Moreover, our case study shows that in some cases materiality clearly matters, in fact it provides the very rationale of synthetic modeling. We will show (...) how the materialities of the different kinds of models – biological components versus mathematical symbols – in combination with their different structures – the complexity of biological organisms versus the isolated network structure and its mathematical dynamics - define the spectrum of epistemic possibilities in synthetic biology. Furthermore, our case shows that from the perspective of scientific practice the question of whether or not simulations are like or unlike experiments is often beside the point, since they are used to accomplish different kinds of things. (shrink)

The omnipresence of the same basic equations, function forms, algorithms, and quantitative methods is one of the most spectacular characteristics of contemporary modeling practice. Recently, the emergence of the discussion of templates and template transfer has addressed this striking cross-disciplinary reach of certain mathematical forms and computational algorithms. In this paper, we develop a notion of a model template, consisting of its mathematical structure, ontology, prototypical properties and behaviors, focal conceptualizations, and the paradigmatic questions it addresses. We apply this notion (...) to three widely disseminated and powerful model templates: the Sherrington-Kirkpatrick model of spin glasses, scale-free networks, and the Kuramoto model of synchronization. We argue that what appears to be an interdisciplinary model transfer between different domains turns out, from a broader perspective, to be the application of transdisciplinary model templates across a multitude of domains. We also point out a further feature of template-based modeling that so far has not been discussed: template entanglement. Such entanglement enhances and makes manifest the conceptual side of model templates. (shrink)

In synthetic biology the use of engineering metaphors to describe biological organisms and their behavior has become a common practice. The concept of noise provides one of the most compelling examples of such transfer. But this notion is also confusing: While in engineering noise is a destructive force perturbing artificial systems, in synthetic biology it has acquired an additional functional meaning. It has been found out that noise is an important factor in driving biological processes such as gene regulation, development, (...) and evolution. How did noise acquire this dual meaning in the field of synthetic biology? In this paper we study the emergence of the functional meaning of noise in relation to synthetic modeling. We will pay particular attention to the interdisciplinary aspects of this process highlighting the way borrowed concepts, analogical reasoning and the use of cross-disciplinary computational templates were entwined in it. (shrink)

A student's future as a knowledge worker (one who "thinks for a living" with the task of problem solving) is the starting point of this book. With this in mind, the book combines a review of philosophical positions and problems with practical examples and perspectives gained from everyday challenges faced by knowledge workers in their businesses and organizations. Through the use of summative chapters, highlighted key concepts, questions for reflection, and illustrative examples on how to work with the theories presented, (...) the book provides a clear and accessible introduction to this challenging subject. Philosophy of Science primarily addresses students studying language, communication, marketing, economics, and management. However, the survey of the theoretical schools of thought - as well as the discussions on research ethics and the role of research in society - will be equally relevant for other students in the humanities and the natural and social sciences. (shrink)

Anche se siamo comunemente abituati a pensare alla scienza come a un qualcosa di assolutamente atemporale e indipendente da tutto, in realtà essa è profondamente influenzata dalla cultura e dalla società del tempo in cui vive. Infatti né la scienza è isolabile dalla società, né la società è isolabile dalla scienza, tanto meno come si sta configurando oggi. Per approfondire questi aspetti, esistono però due visioni antagoniste che bisogna superare: secondo la visione scolastica, retaggio del positivismo ottocentesco ancora molto diffuso (...) fra scienziati e pubblico di non esperti, la scienza è conoscenza senza soggetto conoscente. All'opposto, la visione cinica della scienza, sull'onda di talune elaborazioni della sociologia della scienza, la riduce a nient'altro che a una costruzione di soggetti che partecipano al gioco scientifico, una cultura come altre e da "mediare", e comunque una conoscenza relativa, se non frutto di una costruzione puramente soggettiva, arbitraria, ideologica. Un'analisi della costituzione sociale della scienza può, invece, mirare a un'indagine scientifica sulla scienza proprio configurando una relatività della conoscenza che supera sia l'assolutismo idealistico sia il relativismo soggettivistico. (shrink)

According to relational egalitarianism, justice requires equal relations. The theory applies to those who stand in the relevant social relations. In this paper, I distinguish four different accounts of what it means to be socially related and argue that in all of them, self-relations—how a person relates to themselves—fall within the scope of relational egalitarianism. I also point to how this constrains what a person is allowed to do to themselves.

Émile Durkheim remains one of the most controversial, and deeply misunderstood, classics of social theory. His work differs from the dominant version of sociology that has essentially accepted the modernist self-description of contemporary societies; and it contradicts the individualism that has come to dominate the social sciences. For everybody who is interested in constructing theoretical alternatives to this individualism, Durkheim's sociology can be a useful inspiration - not only because of the solutions it suggests, but already because of the questions (...) it asks. Making use of the theoretical possibilities offered by the Durkheimian tradition, however, requires going beyond the familiar appropriations. The Oxford Handbook of Émile Durkheim takes stock of the different recent debates on Durkheimian sociology, and makes them accessible to a wide audience spanning various disciplines; this includes crucial debates that, due to language barriers, are not easily accessible for an English-reading public. The handbook's chapters elucidate the controversial key concepts of Durkheimian sociology; situate them within the contemporary political and theoretical debates they were originally responding to; offer surveys of empirical research that uses Durkheimian concepts (on topics that were already central for Durkheim's own work as well as on topics that Durkheim hardly touched upon), thus demonstrating the possibilities of a Durkheimian sociology; bring out the divergent, and competing, ways in which Durkheim's ideas have been appropriated and reformulated within more recent theoretical developments in the social sciences. In doing so, this volume is an important resource for all scholars and students looking to understand Durkheimian sociology. (shrink)

Friedrich Nietzsche was among the figures from the history of nineteenth century philosophy that, perhaps surprisingly, some of the Vienna Circle’s members had presented as one of their predecessors. While, primarily for political reasons, most Anglophone figures in the history of analytic philosophy had taken a dim view of Nietzsche, the Vienna Circle’s leader Moritz Schlick admired and praised Nietzsche, rejecting what he saw as a misinterpretation of Nietzsche as a militarist or proto-fascist. Schlick, Frank, Neurath, and Carnap were in (...) different ways committed to the view that Nietzsche made a significant contribution to the overcoming of metaphysics. Some of these philosophers praised the intimate connection Nietzsche drew between his philosophical outlook and empirical studies in psychology and physiology. In his 1912 lectures on Nietzsche, Schlick maintained that Nietzsche overcame an initial Schopenhauerian metaphysical-artistic phase in his thinking, and subsequently remained a positivist until his last writings. Frank and Neurath made the weaker claim that Nietzsche contributed to the development of a positivistic or scientific conception of the world. Schlick and Frank took a further step in seeing the mature Nietzsche as an Enlightenment thinker. (shrink)

In metasemantics, semantic dispositionalism is the view that what makes it the case that, given the value of the relevant parameters, a certain linguistic expression refers to what it does are the speakers’ dispositions. In the literature, there is something like a consensus that the fate of dispositionalism hinges on the status of three arguments, first put forward by Saul Kripke ‒ or at least usually ascribed to him. This paper discusses a different, and strangely neglected, anti-dispositionalist argument, which develops (...) some remarks first put forward by Paul Boghossian and Anandi Hattiangadi and revolves around the idea that semantic dispositionalists have no way to justify their privileging certain dispositions, the ones they take to be reference-determining, over all the others. After some background (Section 1) and a first presentation of the argument (Section 2), I discuss three ways a dispositionalist might try to answer it and find them all wanting (Section 3). (shrink)

Abstract:We discuss the role that transnational corporations (TNCs) should play in developing global governance, creating a framework of rules and regulations for the global economy. The central issue is whether TNCs should provide global rules and guarantee individual citizenship rights, or instead focus on maximizing profits. First, we describe the problems arising from the globalization process that affect the relationship between public rules and private firms. Next we consider the position of economic and management theories in relation to the social (...) responsibility of the firm. We argue that instrumental stakeholder theory and business and society research can only partially solve the global governance issue, and that more recent concepts of corporate citizenship and republican business ethics deliver theoretically and practically helpful, fresh insights. However, even these need further development, especially with regard to the legitimacy of corporate political activity. (shrink)

Relational egalitarianism is a theory of justice according to which justice requires that people relate as equals. According to some relational egalitarians, X and Y relate as equals if, and only if, they (1) regard each other as equals; and (2) treat each other as equals. In this paper, we argue that relational egalitarians must give up 1.

Simondon adopts some concepts of social psychology as ‘in group’ and ‘out group’, namely from Kurt Lewin and Gordon Allport, that allow him to describe the fundamental processes shaping the domain of collective individuation, and to challenge Bergson’s distinction between a ‘closed’ community and an ‘open’ society. Reconstructing Simondon’s sources is necessary to understand how he tries to provide an analysis of the social system without presupposing a given anthropology, but rather exploring different perspectives on the human/nature threshold through the (...) concept of transindividual. In his study of the social system Simondon progressively gives conceptual shape to the processes he calls transindividual thanks to the ontogenetic analysis of the phenomena of belief, work and language. In all these domains, a ‘basic community’ emerges just over the threshold of the biological group, where the structural ambivalence of all collective processes as simultaneously closed and open becomes clear. That is why Simondon does not present the concept of the transindividual as a solution to the epistemological problem of psychic and collective individuation, but rather as the ‘field’ in which a whole series of social, biological and technical dimensions can be made converge towards a science of anthropogenic processes. (shrink)

Many people are worried about the harmful effects of climate change but nevertheless enjoy some activities that contribute to the emission of greenhouse gas (driving, flying, eating meat, etc.), the main cause of climate change. How should such people make choices between engaging in and refraining from enjoyable greenhouse-gas-emitting activities? In this chapter, we look at the answer provided by decision theory. Some scholars think that the right answer is given by interactive decision theory, or game theory; and moreover think (...) that since private climate decisions are instances of the prisoner’s dilemma, one rationally should engage in these activities provided that one enjoys them. Others think that the right answer is given by expected utility theory, the best-known version of individual decision theory under risk and uncertainty. In this chapter, we review these different answers, with a special focus on the latter answer and the debate it has generated. (shrink)

Memory of historical trauma has a unique power to generate works of art. This book analyzes the relation of public memory to history, forgetting, and selective memory in Berlin, Buenos Aires, and New York—three late-twentieth-century cities that have confronted major social or political traumas. Berlin experienced the fall of the Berlin Wall and the city’s reemergence as the German capital; Buenos Aires lived through the dictatorships of the 1970s and 1980s and their legacy of state terror and disappearances; and New (...) York City faces a set of public memory issues concerning the symbolic value of Times Square as threatened public space and the daunting task of commemorating and rebuilding after the attack on the World Trade Center. Focusing on the issue of monumentalization in divergent artistic and media practices, the book demonstrates that the transformation of spatial and temporal experience by memory politics is a major cultural effect of globalization. (shrink)

The central contention of this article is that the classificatory scheme of contemporary affective science, with its traditional categories of emotion, anger, fear, and so on, is no longer suitable to the needs of affective science. Unlike psychological constructionists, who have urged the transition from a discrete to a dimensional approach in the study of affective phenomena, I argue that we can stick to a discrete approach as long as we accept that traditional emotion categories will have to be transformed (...) in order to do any scientific work. I conclude by articulating some general rules for turning traditional emotion categories into suitable scientific tools. (shrink)

The aim of this paper is to defend the structural concept of representation, as defined by homomorphisms, against its main objections, namely: logical objections, the objection from misrepresentation, theobjection from failing necessity, and the copy theory objection. The logical objections can be met by reserving the relation ‘to be homomorphic to’ for the explication of potential representation (or, of the representational content). Actual reference objects (‘targets’) of representations are determined by (intentional or causal) representational mechanisms. Appealing to the independence of (...) the dimensions of ‘content’ and ‘target’ also helps to see how the structural concept can cope with misrepresentation. Finally, I argue that homomorphic representations are not necessarily ‘copies’ of their representanda, and thus can convey scientific insight. (shrink)

The paper defends the structural concept of representation, defined by homomorphisms, against the main objections that have been raised against it: Logical objections, the objection from misrepresentation, the objection from failing necessity, and the copy theory objection. Homomorphic representations are not necessarily ‘copies’ of their representanda, and thus can convey scientific insight.

Edmund Husserl is regarded as the founder of transcendental phenomenology, one of the major traditions to emerge in twentieth-century philosophy. In this book Andrea Staiti unearths and examines the deep theoretical links between Husserl's phenomenology and the philosophical debates of his time, showing how his thought developed in response to the conflicting demands of Neo-Kantianism and life-philosophy. Drawing on the work of thinkers including Heinrich Rickert, Wilhelm Dilthey and Georg Simmel, as well as Husserl's writings on the natural and (...) human sciences that are not available in English translation, Staiti illuminates a crucial chapter in the history of twentieth-century philosophy and enriches our understanding of Husserl's thought. His book will interest scholars and students of Husserl, phenomenology, and twentieth-century philosophy more generally. (shrink)

Responsibility as accountability is normally taken to have stricter control conditions than responsibility as attributability. A common way to argue for this claim is to point to differences in the harmfulness of blame involved in these different kinds of responsibility. This paper argues that this explanation does not work once we shift our focus from other-directed blame to self-blame. To blame oneself in the accountability sense is to feel guilt and feeling guilty is to suffer. To blame oneself in the (...) attributability sense, it will be argued, is to feel shame and feeling shame is also to suffer. The different control conditions cannot be explained by a difference in the harm of blame. Instead, this paper argues that accountability and attributability are governed by different kinds of appropriateness: an agent S is accountability blameworthy for X only if S deserves to feel guilty; an agent S is attributability blameworthy for X only if it is fitting that S feels shame for X. (shrink)

The paper defends the structural concept of representation, defined by homomorphisms, against the main objections that have been raised against it: Logical objections, the objection from misrepresentation, the objection from failing necessity, and the copy theory objection. Homomorphic representations are not necessarily ‘copies’ of their representanda, and thus can convey scientific insight.

Kripkenstein’s challenge is usually described as being essentially about the use of a word in new kinds of cases ‒ the old kinds of cases being commonly considered as non-problematic. I show that this way of conceiving the challenge is neither true to Kripke’s intentions nor philosophically defensible: the Kripkean skeptic can question my answering “125” to the question “What is 68 plus 57?” even if that problem is one I have already encountered and answered. I then argue that once (...) the real nature of Kripkenstein’s challenge is properly appreciated, one extremely popular strategy to try to meet it, what usually goes by the name of “semantic dispositionalism”, loses much of its appeal. Along the way, I also explain that Kripkenstein’s challenge is actually two distinct challenges ‒ one concerning the mental state of meaning, or intending, something by a sign and the other concerning the meaning (referentially conceived) of linguistic expressions. (shrink)