On the basis of an earlier contribution to the philosophy of computer science by Amnon Eden, this essay discusses to what extent Eden’s ‘paradigms’ of computer science can be transferred or applied to software engineering. This discussion implies an analysis of how software engineering and computer science are related to each other. The essay concludes that software engineering can neither be fully subsumed by computer science, nor vice versa. Consequently, also the philosophies of computer science and software engineering—though related to (...) each other—are not identical branches of a general philosophy of science. This also implies that not all of Eden’s earlier arguments can be directly mapped from the domain of computer science into the domain of software science. After the discussion of this main topic, the essay also points to some further problems and open issues for future studies in the philosophy of software science and engineering. (shrink)

In their Minds and Machines essay How would you know if you synthesized a Thinking Thing? (Kary & Mahner, Minds and Machines, 12(1), 61–86, 2002), Kary and Mahner have chosen to occupy a high ground of materialism and empiricism from which to attack the philosophical and methodological positions of believers in artificial intelligence (AI) and artificial life (AL). In this review I discuss some of their main arguments as well as their philosophical foundations. Their central argument: ‘AI is Platonism’, which (...) is based on a particular interpretation of the notion of ‘definition’ and used as a critique against AI, can be counter criticized from two directions: first, Anti-Platonism is not a necessary precondition for criticizing AI, because outspoken Platonist criticism against AI is already known (Penrose, The emperor’s new mind (with a foreword by M. Gardner), 1989). Second, even in case that AI would essentially be ‘Platonism’ this would not be a sufficient argument for proving AI wrong. In my counter criticism I assume a more or less Popperian position by emphasizing the openness of the future: Not by quasi-Scholastic arguments (like Kary and Mahner’s), but only after being confronted with a novel ‘thinking thing’ by future AI engineers we can start to analyze its particular properties (Let me use a history analogon to illustrate my position: In the 19th century, mechanized aviation was widely regarded impossible—only natural organisms (such as birds or bees) could fly, and any science of aerodynamics or aviation did not exist. Only after some non-scientific technicians had confronted their astonished fellows with the first (obviously) flying machine the science of ‘Artificial Aviation’ came into existence, motivated by the need for understanding and mastering that challenging and puzzling new phenomenon). (shrink)

P { margin-bottom: 0.21cm; direction: ltr; color: rgb; widows: 2; orphans: 2; }P.western { font-family: "Times New Roman",serif; font-size: 12pt; }P.cjk { font-family: "Times New Roman",serif; font-size: 12pt; }P.ctl { font-family: "Times New Roman",serif; font-size: 12pt; } Hegel's transient notion of "Aether", developed and finally abandoned again during his short period of time at the University of Jena in the early years of the 19th century, has received comparatively little attention so far – much less than, for example, his Phenomenology (...) of Spirit, or his later systematic works which he published after his departure from Jena. In modern and contemporary physics, on the other hand, novel notions comparable to Hegel's "aether" have become interesting again with the rise of quantum physics. In this essay we recapitulate and explain the notion of "Aether" in Hegel's works and compare it to novel aether concepts which might be appropriate in the context of contemporary quantum physics. Such a juxtaposition would well have matched Hegel's own intentions, since he had always been a keen observer of the latest developments in the natural sciences during his own lifetime. In conclusion we can say that, in spite of a number of differences, both notions of aether can be speculatively characterised by the paradoxical term "reality of possibility". (shrink)

‘Information’ is a fundamental notion in the field of artificial intelligence including various sub-disciplines such as cybernetics, artificial life, robotics, etc. Practically the notion is often taken for granted and used naively in an unclarified and philosophically unreflected manner, whilst philosophical attempts at clarifying ‘information’ have not yet found much consensus within the science-philosophical community. One particularly notorious example of this lack of consensus is the recent Fetzer-Floridi dispute about what is ‘information’—a dispute which has remained basically unsettled until today (...) in spite of a sequence of follow-up publications on this topic. In this chapter our philosophical analysis reveals with reference to Gottlob Frege’s classical semiotics that the above-mentioned Fetzer-Floridi dispute cannot come to any solution at all, because the two competing notions of ‘information’ in that dispute are basically synonyms of what Frege had called ‘sense’ versus what Frege had called ‘meaning’. As Frege had convincingly distinguished sense and meaning very clearly from each other, it is obvious that ‘information’ understood like ‘sense’ and ‘information’ understood like ‘meaning’ are incompatible and cannot be reconciled with each other. Moreover we also hint in this chapter at the often-forgotten pragmatic aspects of ‘information’ which is to say that ‘information’ can always only be ‘information for somebody’ with regard to a specific aim or goal or purpose. ‘Information’, such understood, is thus a teleological notion with a context-sensitive embedding into what the late Wittgenstein had called a ‘language-game’. Shannon’s quantified notion of ‘information’, by contrast, which measures an amount of unexpected surprise and which is closely related to the number of definite yes-no-questions which must be asked in order to obtain the desired solution of a given quiz puzzle, is not the topic of this chapter—although also in Shannon’s understanding of ‘information’ the quiz puzzle scenario, within which those yes-no-questions are asked and counted, is obviously purpose-driven and Sprachspiel-dependent. We conclude our information-philosophical analysis with some remarks about which notion of ‘information’ seems particularly amenable and suitable for an autonomic mobile robotics project which one of the two co-authors is planning for future work. To separate this suitable notion of ‘information’ from other ones a new word, namely ≪enlightation≫, is coined and introduced. (shrink)

Approximately a century after the bio-philosopher Hans Driesch had published some of his most interesting books, which had been to some extent misunderstood and subsequently fallen to some extent into oblivion, the relevance of some of Driesch's ideas for our own time is, since recently, beginning to be rediscovered. This is, inter alia, because the philosophical triple-relation between the notions of 'mind', 'living body', and 'machine' is still not compellingly clarified by any of the various competing philosophical 'schools' until today, (...) whereby the advent of the programmable computer as an entirely new type of 'machine' has made all the related problems even more complicated. Within this science-philosophical context, this review article revisits and briefly recapitulates some of Driesch's most 'salient' thoughts on the mind-body-problem, and additionally provides some bibliographic auxiliary materials which nowadays students of Driesch's ideas might find useful. The writing of this review was motivated by the desire to clarify some often-seen misunderstandings of Driesch's concept of 'soul' within his two-fold framework of 'vitalism plus phenomenology', as well as by the desire to reconnect our contemporary science-, mind-, nature- and computer-philosophical discourses with one of their most important historic sources. (shrink)

Over the past four decades, software engineering has emerged as a discipline in its own right, though it has roots both in computer science and in classical engineering. Its philosophical foundations and premises are not yet well understood. In recent times, members of the software engineering community have started to search for such foundations. In particular, the philosophies of Kuhn and Popper have been used by philosophically-minded software engineers in search of a deeper understanding of their discipline. It seems, however, (...) that professional philosophers of science are not yet aware of this new discourse within the field of software engineering. Therefore, this article aims to reflect critically upon recent software engineers’ attempts towards a philosophy of software engineering and to introduce our own philosophical thoughts in this context. Finally, we invite the professional philosophers of science to participate in this interesting new discourse. (shrink)

There are several conceptions of man in the history of philosophy. However, two considerable tendencies are recurring throughout modern history. A human being can be perceived as a complex mechanism or as a living organism. The response to the query has essential consequences in different areas. The article aims to provide a view of humankind that builds upon an organic conception of life, nature, and human beings, especially as elaborated by A. N. Whitehead and some of his followers. The article (...) also briefly examines the emergence and development of a mechanistic view. The historical overview exposes the close relationship between the worldview of a given era and the understanding of man. Finally, the article argues that the organic conceptions of life developed in the first half of the 20th century provide an essential alternative to mechanistic views and could help us to deal with several problems we are currently encountering. (shrink)

Die Frage nach der Technik ist eine Art der Heideggerschen Frage nach dem Sein, die die Fragen nach dem Menschen in der Moderne und nach der Zivilisation überhaupt impliziert. Im Rahmen der sogenannten "Seinsgeschichte" bildet sie eine Kreuzungsstelle, die von verschiedenen Linien gebildet wird, welche wiederum in ihrer Verschiedenheit zu berücksichtigen sind und nicht einfach textuell hermetisiert werden dürfen. Heidegger besorgt nicht zuletzt mit Hilfe der seinsgeschichtlichen Konstellation des Gestells seine Selbstinterpretation hinsichtlich der Haltung zum Nationalsozialismus. Verweigert wird die falsche (...) Alternative eines platt-realistischen oder biographischen Reduktionismus zum einen und des Jüngerschar-Minimalismus oder kalauernden dekonstruktivistischen Textdesigns zum andern. Genauso einseitig wie der absicherungsstrategische Jargon der Orthodoxie ist die positivistische Abschiebung Heideggers in die Ecke der "Begriffsdichtung". Tatsächlich besteht ein arbeitsteiliger Konsens zwischen beiden Seiten. Gegen diesen Konsens im Dissens opponiert vorliegender Text. (shrink)

In this paper I try to elucidate the differences between theoretical and practical endeavors in philosophy, and then to show that in a sense philosophy has to be theoretical, but— if it claims to be viable—it must be practical as well. First I consider the meaning of the terms theoretical, practical, abstract, and concrete. Then, with the help of Whitehead’s ideas on this topic, I briefly reflect on the method, aims and role of philosophy. I hold that a properly established (...) philosophical approach should have its roots in concrete experience and should include concrete applications. Thus, abstract ideas can be (and indeed often are) transformed into our daily life practices, being applied to solve real problems—personal, social, environmental, etc. The ideas are conveyed from the sphere of philosophy to that of ordinary life. In the next stage I demonstrate this principle using a concrete example, Whitehead’s philosophical system and how it can be fruitfully applied to the sphere of deep ecology. There are many other examples that could be mentioned, but giving a proper demonstration of this application principle requires more space and so I concentrate only on one of these examples. (shrink)

It is pointed out against the two critics (a) that an identity or partial identity of meanings and facts is logically impossible, (b) that the logical grammar of ?identify? and ?explain? is different from that of ?understand? and that hence understanding can never be an operation of identifying or explaining, and (c) that rational understanding does not involve a ?reproduction? of the subject matter in any controversial sense.

Stefan Collini challenges the common claim that universities need to show that they help to make money in order to justify getting more money.

An intro. to Didaktic (the heart of thinking about teaching/teacher educ in Germany) for English-speaking readers, drawing on a range of writings assoc. w/ this tradition. Throws light on assumptions, characteristics, & weaknesses of curriculum thought.

We all know that renewable energies are important for environmental reasons. However, recent developments should open our eyes to the fact that they are even more critical for sustainable development. In this commentary, we argue that societal benefits should be included in renewable energy decisions. Specifically, we discuss their contributions to freedom, peace, and democracy.

Explainable artificial intelligence (XAI) aims to help people understand black box algorithms, particularly of their outputs. But what are these explanations and when is one explanation better than another? The manipulationist definition of explanation from the philosophy of science offers good answers to these questions, holding that an explanation consists of a generalization that shows what happens in counterfactual cases. Furthermore, when it comes to explanatory depth this account holds that a generalization that has more abstract variables, is broader in (...) scope and/or more accurate is better. By applying these definitions and contrasting them with alternative definitions in the XAI literature I hope to help clarify what a good explanation is for AI. (shrink)

This imaginative and unusual book explores the moral sensibilities and cultural assumptions that were at the heart of political debate in Victorian and early twentieth-century Britain. It focuses on the role of intellectuals as public moralists and suggests ways in which their more formal political theory rested upon habits of response and evaluation that were deeply embedded in wider social attitudes and aesthetic judgments. Collini examines the characteristic idioms and strategies of argument employed in periodical and polemical writing, and reconstructs (...) the sense of identity and of relation to an audience exhibited by social critics from John Stuart Mill and Matthew Arnold to J.M. Keynes and F.R. Leavis. (shrink)

Artificial Intelligence (AI) is increasingly adopted in society, creating numerous opportunities but at the same time posing ethical challenges. Many of these are familiar, such as issues of fairness, responsibility and privacy, but are presented in a new and challenging guise due to our limited ability to steer and predict the outputs of AI systems. This chapter first introduces these ethical challenges, stressing that overviews of values are a good starting point but frequently fail to suffice due to the context (...) sensitivity of ethical challenges. Frequently, additional (ethical) values emerge for specific applications, as e.g. challenges with fraud detection are very different from those around language technologies. Second, methods to tackle these challenges are discussed. Main ethical theories (virtue ethics, consequentialism, and deontology) are shown to provide a starting point, but often lack the details needed for actionable AI Ethics. Instead, mid-level philosophical theories coupled to design-approaches such as Design for Values, together with interdisciplinary working methods, offer the best way forwards. The chapter aims to show how these approaches can lead to an ethics of AI that is actionable and that can be proactively integrated in the design of AI systems. (shrink)

How do we get out knowledge of the natural numbers? Various philosophical accounts exist, but there has been comparatively little attention to psychological data on how the learning process actually takes place. I work through the psychological literature on number acquisition with the aim of characterising the acquisition stages in formal terms. In doing so, I argue that we need a combination of current neologicist accounts and accounts such as that of Parsons. In particular, I argue that we learn the (...) initial segment of the natural numbers on the basis of the Fregean definitions, but do not learn the natural number structure as a whole on the basis of Hume's principle. Therefore, we need to account for some of the consistency of our number concepts with the Dedekind-Peano axioms in other terms. (shrink)

I argue that difference-making should be a crucial element for evaluating the quality of evidence for mechanisms, especially with respect to the robustness of mechanisms, and that it should take central stage when it comes to the general role played by mechanisms in establishing causal claims in medicine. The difference- making of mechanisms should provide additional compelling reasons to accept the gist of Russo-Williamson thesis and include mechanisms in the protocols for Evidence- Based Medicine, as the EBM+ research group has (...) been advocating. (shrink)

The Approximate Number System (ANS) is a system that allows us to distinguish between collections based on the number of items, though only if the ratio between numbers is high enough. One of the questions that has been raised is what the representations involved in this system represent. I point to two important constraints for any account: (a) it doesn’t involve numbers, and (b) it can account for the approximate nature of the ANS. Furthermore, I argue that representations of pure (...) magnitude with vehicles that have an imprecision in the value of the unit of measurement (further clarified through a formal model from measurement theory) fit both these requirements. (shrink)

This article considers the prospects of inference to the best explanation as a method of confirming causal claims vis-à-vis the medical evidence of mechanisms. I show that IBE is actually descriptive of how scientists reason when choosing among hypotheses, that it is amenable to the balance/weight distinction, a pivotal pair of concepts in the philosophy of evidence, and that it can do justice to interesting features of the interplay between mechanistic and population level assessments.

In the past few decades, a growth in ethical consumerism has led brands to increasingly develop conscientiousness and depict ethical image at a corporate level. However, most of the research studying business ethics in the field of corporate brand management is either conceptual or has been empirically conducted in relation to goods/products contexts. This is surprising because corporate brands are more relevant in services contexts, because of the distinct nature of services and the key role that employees have in the (...) services sector. Accordingly, this article aims at empirically examining the effects of customer perceived ethicality in the context of corporate services brands. Based on data collected for eight service categories using a panel of 2179 customers, the hypothesized structural model is tested using path analysis. The results show that, in addition to a direct effect, customer perceived ethicality has a positive and indirect effect on customer loyalty, through the mediators of customer affective commitment and customer perceived quality. Further, employee empathy positively influences the impact of customer perceived ethicality on customer affective commitment, and customer loyalty positively impacts customer positive word-of-mouth. The first implication of these results is that corporate brand strategy needs to be aligned with human resources policies and practices if brands want to turn ethical strategies into employee behavior. Second, corporate brands should build more authentic communications grounded in their ethical beliefs and supported by evidence from actual employees. (shrink)

Users of sociotechnical systems often have no way to independently verify whether the system output which they use to make decisions is correct; they are epistemically dependent on the system. We argue that this leads to problems when the system is wrong, namely to bad decisions and violations of the norm of practical reasoning. To prevent this from occurring we suggest the implementation of defeaters: information that a system is unreliable in a specific case (undercutting defeat) or independent information that (...) the output is wrong (rebutting defeat). Practically, we suggest to design defeaters based on the different ways in which a system might produce erroneous outputs, and analyse this suggestion with a case study of the risk classification algorithm used by the Dutch tax agency. (shrink)

In this paper I offer an anti-Humean critique to Williamson and Russo’s approach to medical mechanisms. I focus on one of the specific claims made by Williamson and Russo, namely the claim that micro-structural ‘mechanisms’ provide evidence for the stability across populations of causal relationships ascertained at the (macro-) level of (test) populations. This claim is grounded in the epistemic account of causality developed by Williamson, an account which—while not relying exclusively on mechanistic evidence for justifying causal judgements—appeals nevertheless to (...) mechanisms, and rejects their anti-Humean interpretation in terms of capacities, powers, potencies, etc. By using (and expanding on) Cartwright’s basic critique against Humean mechanisms, I suggest that, in order to move beyond the level of plausibility, Williamson and Russo’s position is in need of a clarification as to the occurent reading of the components, functioning and interferences of mechanisms. Relatedly, as concerns Williamson’s epistemic account of causation, I argue that this account is in need of a more straightforward answer as to what truth-makers its causal claims should have. (shrink)

Money in the history of political thought, from ancient Greece to the Great Inflation of the 1970s In the wake of the 2008 financial crisis, critical attention has shifted from the economy to the most fundamental feature of all market economies—money. Yet despite the centrality of political struggles over money, it remains difficult to articulate its democratic possibilities and limits. The Currency of Politics takes readers from ancient Greece to today to provide an intellectual history of money, drawing on the (...) insights of key political philosophers to show how money is not just a medium of exchange but also a central institution of political rule. Money appears to be beyond the reach of democratic politics, but this appearance—like so much about money—is deceptive. Even when the politics of money is impossible to ignore, its proper democratic role can be difficult to discern. Stefan Eich examines six crucial episodes of monetary crisis, recovering the neglected political theories of money in the thought of such figures as Aristotle, John Locke, Johann Gottlieb Fichte, Karl Marx, and John Maynard Keynes. He shows how these layers of crisis have come to define the way we look at money, and argues that informed public debate about money requires a better appreciation of the diverse political struggles over its meaning. Recovering foundational ideas at the intersection of monetary rule and democratic politics, The Currency of Politics explains why only through greater awareness of the historical limits of monetary politics can we begin to articulate more democratic conceptions of money. (shrink)

ABSTRACT How do non-experts single out numbers for reference? Linnebo has argued that they do so using a criterion of identity based on the ordinal properties of numerals. Neo-logicists, on the other hand, claim that cardinal properties are the basis of individuation, when they invoke Hume’s Principle. I discuss empirical data from cognitive science and linguistics to answer how non-experts individuate numbers better in practice. I use those findings to develop an alternative account that mixes ordinal and cardinal properties to (...) provide a detailed answer to the question: how do we in fact semantically individuate numbers? (shrink)

Dray: Mandelbaum legislates regarding the historian's "task" in the guise of descriptive analysis. He seems to envisage two fundamental tasks for the historian: explaining, and relating parts to wholes. Contrary to Mandelbaum's implication, there is no more opposition between narration and either of these tasks than there is between the two tasks themselves.Ely: Mandelbaum refutes White and Danto, who both hold that historical writing is essentially narrative; but not Gallie, who asserts that historical writing is necessarily, but never solely, a (...) narrative construction. The claim that history is essentially narrative is fruitful even though false because it recognizes an important characteristic of historical thinking - the historian's conceptual isolation of a series of intentional human actions from the situations with which they were designed to cope.Gruner: Mandelbaurn is correct in his criticism of narrativism, but does not support his criticism by good reasons. Historians offer both static, non-narrative descriptions and kinetic, narrative descriptions. Historical description is therefore not the same as historical narration; the latter is only a species of the former. (shrink)

The now classical idea that programmed cell death contributes to a plethora of developmental processes still has lost nothing of its impact. It is, therefore, important to establish effective three-dimensional reconstruction as well as simulation techniques to decipher the exact patterns and functions of such apoptotic events. The present study focuses on the question whether and how apoptosis promotes neurulation-associated processes in the spinal cord of Tupaia belangeri. Our 3D reconstructions demonstrate that at least two craniocaudal waves of apoptosis consecutively (...) pass through the dorsal spinal cord. The first wave appears to be involved in neural fold fusion and/or in selection processes among premigratory neural crest cells. The second one seems to assist in establishing the dorsal signaling center known as the roof plate. In the hindbrain, in contrast, apoptosis among premigratory neural crest cells progresses craniocaudally but discontinuously, in a segment-specific manner. Unlike apoptosis in the spinal cord, these segment-specific apoptotic events, however, precede later ones that seemingly support neural fold fusion and/or postfusion remodeling. Arguing with Whitehead that biological patterns and rhythms differ in that biological rhythms depend “upon the differences involved in each exhibition of the pattern” we show that 3D reconstruction and simulation techniques can contribute to distinguish between patterns and rhythms of apoptosis. By deciphering novel patterns and rhythms of developmental apoptosis, our reconstructions help to reconcile seemingly inconsistent earlier findings in chick and mouse embryos, and to create rules for computer simulations. (shrink)

Most accounts of our knowledge of the successor axiom claim that this is based on the procedure of adding one. While they usually don’t claim to provide an account of how children actually acquire this knowledge, one may well think that this is how they get that knowledge. I argue that when we look at children’s responses in interviews, the time when they learn the successor axiom and the intermediate learning stages they find themselves in, that there is an empirically (...) viable alternative. I argue that they could also learn it on the basis of a method that has to do with the structure of the numeral system. Specifically, that they (1) use the syntactic structure of the numeral system and (2) attend to the leftmost digits, the one with the highest place-value. Children can learn that this is a reliable method of forming larger numbers by combining two elements. First, a grasp of the syntactic structure of the numeral system. That way they know that the leftmost digit receives the highest value. Second, an interpretation of numerals as designating cardinal values, so that they also realise that increasing or adding digits on the lefthand side of a numeral produces a larger number. There are thus two, currently equally well-supported, ways in which children might learn that there are infinitely many natural numbers. (shrink)

Integrating the study of human diversity into the human evolutionary sciences requires substantial revision of traditional conceptions of a shared human nature. This process may be made more difficult by entrenched, 'folkbiological' modes of thought. Earlier work by the authors suggests that biologically naive subjects hold an implicit theory according to which some traits are expressions of an animal's inner nature while others are imposed by its environment. In this paper, we report further studies that extend and refine our account (...) of this aspect of folkbiology. We examine biologically naive subjects' judgments about whether traits of an animal are 'innate', 'in its DNA' or 'part of its nature'. Subjects do not understand these three descriptions to be equivalent. Both innate and in its DNA have the connotation that the trait is species-typical. This poses an obstacle to the assimilation of the biology of polymorphic and plastic traits by biologically naive audiences. Researchers themselves may not be immune to the continuing pull of folkbiological modes of thought. (shrink)

In this paper, I focus on life-threatening medical conditions and argue that from the point of view of natural properties, induction(s), and participation in laws, at least some of the ill organisms dealt with in somatic medicine form natural kinds in the same sense in which the kinds in the exact sciences are thought of as natural. By way of comparing two ‘divisions of nature’, viz., a ‘classical’ exact science kind (gold) and a kind of disease (Graves disease), I show (...) that there is no justifiable ‘ontological gap’ between disease kinds and exact sciences kinds. We have instead a difference of degree. (shrink)

According to Hempel’s influential theory of explanation, explaining why some a is G consists in showing that the truth that a is G follows from a law-like generalization to the effect that all Fs are G together with the initial condition that a is F. While Hempel’s overall account is now widely considered to be deeply flawed, the idea that some generalizations play the explanatory role that the account predicts is still often endorsed by contemporary philosophers of science. This idea, (...) however, conflicts with widely shared views in metaphysics according to which the generalization that all Fs are G is partially explained by the fact that a is G. I discuss two solutions to this conflict that have been proposed recently, argue that they are unsatisfactory, and offer an alternative. (shrink)

Can concepts be acquired by testing hypotheses about these concepts? Fodor famously argued that this is not possible. Testing the correct hypothesis would require already possessing the concept. I argue that this does not generally hold for mathematical concepts. I discuss specific, empirically motivated, hypotheses for number concepts that can be tested without needing to possess the relevant number concepts. I also argue that one can test hypotheses about the identity conditions of other mathematical concepts, and then fix the application (...) conditions based on those hypotheses—under the assumption that the neo‐logicist view on abstraction principles is correct. (shrink)

Prospect Theory (PT) is widely regarded as the most promising descriptive model for decision making under uncertainty. Various tests have corroborated the validity of the characteristic fourfold pattern of risk attitudes implied by the combination of probability weighting and value transformation. But is it also safe to assume stable PT preferences at the individual level? This is not only an empirical but also a conceptual question. Measuring the stability of preferences in a multi-parameter decision model such as PT is far (...) more complex than evaluating single-parameter models such as Expected Utility Theory under the assumption of constant relative risk aversion. There exist considerable interdependencies among parameters such that allegedly diverging parameter combinations could in fact produce very similar preference structures. In this paper, we provide a theoretic framework for measuring the (temporal) stability of PT parameters. To illustrate our methodology, we further apply our approach to 86 subjects for whom we elicit PT parameters twice, with a time lag of 1 month. While documenting remarkable stability of parameter estimates at the aggregate level, we find that a third of the subjects show significant instability across sessions. (shrink)

This paper deals with the question of whether and when it is appropriate or inappropriate to say that a social group performs an action. After some remarks on the concept of action three kinds of groups are distinguished, i.e. assemblies, institutions, and classes. It is found that in the first two of these cases predication of action is possible: an assembly can act in that all its members act, or some of them do who are interchangeable with any others; and (...) an institution can act because it has a structure and some individuals can act on its behalf. A class, however, cannot be said to act, for its concept may be freely formed, its members cannot be assembled, and it has no organs through which actions could be performed. (shrink)

For Aristotle, a just political community has to find similarity in difference and foster habits of reciprocity. Conventionally, speech and law have been seen to fulfill this role. This article reconstructs Aristotle’s conception of currency as a political institution of reciprocal justice. By placing Aristotle’s treatment of reciprocity in the context of the ancient politics of money, currency emerges not merely as a medium of economic exchange but also potentially as a bond of civic reciprocity, a measure of justice, and (...) an institution of ethical deliberation. Reconstructing this account of currency in analogy to law recovers the hopes Aristotle placed in currency as a necessary institution particular to the polis as a self-governing political community striving for justice. If currency was a foundational institution, it was also always insufficient, likely imperfect, and possibly tragic. Turned into a tool for the accumulation of wealth for its own sake, currency becomes unjust and a serious threat to any political community. Aristotelian currency can fail precisely because it contains an important moment of ethical deliberation. This political significance of currency challenges accounts of the ancient world as bifurcated between oikos and polis and encourages contemporary political theorists to think of money as a constitutional project that can play an important role in improving reciprocity across society. (shrink)

Process reliabilist accounts claim that a belief is justified when it is the result of a reliable belief-forming process. Yet over what range of possible token processes is this reliability calculated? I argue against the idea that _all_ possible token processes (in the actual world, or some other subset of possible worlds) are to be considered using the case of a user acquiring beliefs based on the output of an AI system, which is typically reliable for a substantial local range (...) but unreliable when all possible inputs are considered. I show that existing solutions to the generality problem imply that these cases cannot be solved by a more fine-grained typing of the belief-forming process. Instead, I suggest that reliability is evaluated over a range restricted by the content of the actual belief and by the similarity of the input to the actual input. (shrink)

Mathematical cognition has become an interesting case study for wider theories of cognition. Menary :1–20, 2015) argues that arithmetical cognition not only shows that internalist theories of cognition are wrong, but that it also shows that the Hypothesis of Extended Cognition is right. I examine this argument in more detail, to see if arithmetical cognition can support such conclusions. Specifically, I look at how the use of numerals extends our arithmetical abilities from quantity-related innate systems to systems that can deal (...) with exact numbers of arbitrary size. I then argue that the system underlying our grasp of small numbers is an unhelpful case study for Menary; it doesn’t support an argument for externalism over internalism. The system for large numbers, on the other hand, clearly displays important interactions between public numeral systems and our cognitive processes. I argue that the large number system supports an argument against internalist theories of arithmetical cognition, but that one cannot conclude that the Hypothesis of Extended Cognition is correct. In other words, the large number case doesn’t decide between the Hypothesis of Extended Cognition and the Hypothesis of EMbedded Cognition. (shrink)