Published posthumously in 1908, Ecce Homo was written in 1888 and completed just a few weeks before Nietzsche’s complete mental collapse. Its outrageously egotistical review of the philosopher’s life and works—featuring chapters called Why I Am So Wise and Why I Write Such Good Books—are redeemed from mere arrogance by masterful language and ever-relevant ideas. In addition to settling scores with his many personal and philosophical enemies, Nietzsche emphasizes the importance of questioning traditional morality, establishing autonomy, and making a commitment (...) to creativity. Essential reading for students of philosophy, this unique memoir is crucial to an understanding of Nietzsche’s other works. (shrink)

Analizamos las ideologías para demostrar que su raíz materialista está en el origen de muchos problemas en la sociedad. La economía –es decir, la producción y el consumo– define a la persona humana. El ser humano es un subproducto de la economía. Esta definición ofusca la conciencia que es la base de la ética y por lo tanto de la dignidad de la persona, porque la ciencia y la tecnología se dan siempre en relación con hombres libres cuyos encuentros tienen (...) un significado cultural-ético. No podemos ser indiferentes a lo transcendente que no se puede verificar por experimentos o deducir de manera racional. La fe nos abre un horizonte distinto. (shrink)

In a 2008 paper, Walmsley argued that the explanations employed in the dynamical approach to cognitive science, as exemplified by the Haken, Kelso and Bunz model of rhythmic finger movement, and the model of infant preservative reaching developed by Esther Thelen and her colleagues, conform to Carl Hempel and Paul Oppenheim’s deductive-nomological model of explanation (also known as the covering law model). Although we think Walmsley’s approach is methodologically sound in that it starts with an analysis of scientific practice rather (...) than a general philosophical framework, we nevertheless feel that there are two problems with his paper. First, he focuses only on the deductivenomological model and so neglects the important fact that explanations are causal. Second, the explanations offered by the dynamical approach do not take the deductive-nomological format, because they do not deduce the explananda from exceptionless laws. Because of these two points, Walmsley makes the dynamical explanations in cognitive science appear problematic, while in fact they are not. (shrink)

Animal welfare is an importantsocietal issue in Switzerland. Policy makershave responded with a strict legislation onanimal protection and with two programs topromote animal friendly husbandry. Alsoprivate actors in the meat industry initiatedprograms for animal friendly meat productionto meet consumers' expectations. Labeled meathas a market share of over 20%. Depending onthe stakeholders responsible for the labels,their objectives vary. While retailers want toattract consumers with meat produced in ananimal friendly and environmentally compatiblemanner and with products of consistently goodsensory quality, producers want to (...) keep marketshares and increase their revenues. (shrink)

In this paper we argue that in recent literature on mechanistic explanations, authors tend to conflate two distinct features that mechanistic models can have or fail to have: plausibility and richness. By plausibility, we mean the probability that a model is correct in the assertions it makes regarding the parts and operations of the mechanism, i.e., that the model is correct as a description of the actual mechanism. By richness, we mean the amount of detail the model gives about the (...) actual mechanism. First, we argue that there is at least a conceptual reason to keep these two features distinct, since they can vary independently from each other: models can be highly plausible while providing almost no details, while they can also be highly detailed but plainly wrong. Next, focusing on Craver's continuum of ?how-possibly,? to ?how-plausibly,? to ?how-actually? models, we argue that the conflation of plausibility and richness is harmful to the discussion because it leads to the view that both are necessary for a model to have explanatory power, while in fact, richness is only so with respect to a mechanism's activities, not its entities. This point is illustrated with two examples of functional models. (shrink)

In the literature on dynamical models in cognitive science, two issues have recently caused controversy. First, what is the relation between dynamical and mechanistic models? I will argue that dynamical models can be upgraded to be mechanistic as well, and that there are mechanistic and non-mechanistic dynamical models. Second, there is the issue of explanatory power. Since it is uncontested the mechanistic models can explain, I will focus on the non-mechanistic variety of dynamical models. It is often claimed by proponents (...) of mechanistic explanations that such models do not really explain cognitive phenomena . I will argue against this view. Although I agree that the three arguments usually offered to vindicate the explanatory power of non-mechanistic dynamical models are not enough, I consider a fourth argument, namely that such models provide understanding. The Voss strong anticipation model is used to illustrate this. (shrink)

Two solutions are offered to the problem of distinguishing "historical" from "functional" associations in cross-cultural surveys. The underlying logic of the mathematical model is discussed and three kinds of association distinguished: hyperdiffusional or purely "historical" association, undiffusional or purely "functional" association, and semidiffusional or mixed "historical-functional" association. Two overland diffusion arcs constitute the test sample; the relationship of social stratification to political complexity constitutes the test problem. A sifting test establishes a bimodal distribution of interval lengths between like types and (...) sifts out repetitions with a lesser interval length than the second mode. A cluster test shows that for the test problem, the "hits" cluster more than the "misses". (shrink)

In this paper, I argue that explaining cognitive behavior can be achieved through what I call hybrid explanatory inferences: inferences that posit mechanisms, but also draw on observed regularities. Moreover, these inferences can be used to achieve unification, in the sense developed by Allen Newel in his work on cognitive architectures. Thus, it seems that explanatory pluralism and unification do not rule out each other in cognitive science, but rather that the former represents a way to achieve the latter.

Levinas and the Night of Being investigates the ontological character of Totality and Infinity that has frequently been overlooked, suggesting that this ontological character is constituted by nocturnal events of being, the dark foundations that undergird the intentional activity of consciousness. Through a close reading of Totality and Infinity, Levinas and the Night of Being begins with the separation of the self and the nocturnal event of the enjoyment of the elemental that establishes the self as the same in its (...) independence and self-sufficiency. In its sameness, the self can then encounter the Other as other through the nocturnal event of the speech of the Other. The encounter with the Other through speech and language is the foundation for the nocturnal event of the pluralization of existence through fecundity, culminating in what Levinas and the Night of Being calls a world shared with the Other, a world of sociality and justice. This review emphasizes that Levinas and the Night of Being, by addressing the ontological character of Totality and Infinity, offers a significant contribution to the field of Levinas studies and points toward a valuable path for future research that examines how ontology and ethics might be thought together rather than in opposition. (shrink)

In this paper, I explicate and discuss performance-similarity reasoning as a strategy for mechanism schema evaluation, understood in Lindley Darden’s sense. This strategy involves inferring hypotheses about the mechanism responsible for cognitive capacities from premises describing the performance of those capacities; performance-similarity reasoning is a type of Inference to the Best Explanation, or IBE. Two types of such inferences are distinguished: one in which the performance of two systems is compared, and another when the performance of two systems under intervention (...) is compared. Both types of inferences are illustrated with examples taken from cognitive science. I conclude that performance-similarity reasoning is an important strategy for evaluating mechanistic hypotheses. (shrink)

In the debate about values in science, it is a time-honored tradition to distinguish between the normative question of whether non-cognitive values should play a role in science and the descriptive question of whether they in fact do so or not.1 Among philosophers of science, it is now an accepted view that the descriptive question has been settled. That is, it is no longer disputed that non-cognitive values play a role in science. Hence, all that is left to do on (...) the descriptive front is to describe these values and their roles in more detail. In the words of Longino: “We should stop asking whether social values play a role in science and ask which values and whose values play a role and how” (2004, p. .. (shrink)

A distinguished cross-cultural researcher presents a brave, heartfelt and exciting challenge to the social sciences: the creation of an international, moral order. He advocates the use of cross-cultural research to uncover a common core of values and morality. This research would then be used to ameliorate problems and guide policy in the light of those values. He shows his procedures at work in the study of ten major social and personal ills, such as mental illness, divorce, sex roles, and child (...) abuse. His research leads him inexorably to the concept of the moralnet -- the social group that provides values and support. When these are disrupted, problems are aggravated or even created. 'The work of Naroll fits in well with. (shrink)

Among philosophers of science, there is now a widespread agreement that the DN model of explanation is poorly equipped to account for explanations in biology. Rather than identifying laws, so the consensus goes, researchers explain biological capacities by constructing a model of the underlying mechanism.We think that the dichotomy between DN explanations and mechanistic explanations is misleading. In this article, we argue that there are cases in which biological capacities are explained without constructing a model of the underlying mechanism. Although (...) these explanations do not conform to Hempel’s DN model, they do invoke more or less stable generalisations. Because they invoke generalisations and have the form of an argument, we call them inferential explanations. We support this claim by considering two examples of explanations of biological capacities: pigeon navigation and photoperiodism. Next, we will argue that these non-mechanistic explanations are crucial to biology in three ways: sometimes, they are the only thing we have, they are heuristically useful, and they provide genuine understanding and so are interesting in their own right.In the last sections we discuss the relation between types of explanations and types of experiments and situate our views within some relevant debates on explanatory power and explanatory virtues. (shrink)

In this book, Moati systematically replays the historical encounter between Austin, Derrida, and Searle and the disruption that caused the lasting break between Anglo-American language philosophy and continental traditions of phenomenology ...

1. The rise and fall of logos -- 2. The way of negation, Christian and Greek.

Peter Maurin, a French, itinerant immigrant, known, if at all, as co-founder with Dorothy Day of the Catholic Worker movement plies his pedagogy from the margins of society, identifying with the poor of the Depression. He believes his vocation is to awaken the poor and professionals alike to reconstruct a personalist democracy and restore its spiritual foundation, Remarkably resonate with John Dewey’s experiential learning, Jane Addams’ Hull House initiative, and the Brazilian educator and theologian Paulo Freire’s theory of humankind’s vocation (...) to humanize the world, Maurin critiques education as “knowing more and more about less and less” and not relating knowledge to the real world. Today Dewey and Freire influence progressive experiential pedagogy, but most progressive educators are unacquainted with Maurin’s radical vision. Yet, Maurin speaks as trenchantly to our own time of socio-economic, ideological, and moral crisis as he did to the crises of the 1930s. This paper seeks to recover Maurin’s pedagogy for critical theory’s work of educating today’s students—and the world, in general—to a deep consciousness of the workings of society, for restructuring the social order, and for solidarity with those who suffer from structural injustice. For Maurin, solidarity with the impoverished and marginalized is the site of both deep knowing and transformative power. This solidarity is the bedrock of Maurin’s teaching—propagated among the cast-offs at Columbus Circle to academics on Boston Commons, to the storefront and tenement schools he established, to his outdoor university, to forums, symposia, and nightly round-table discussions. With poetic phrasing, he casts his thought as “points” in what becomes known as “easy essays.” While those from the academic mainstream publish in respected journals, Maurin, from the margins, tacks up his essays in public places and even mails them to reluctant listeners. Working out the practical implications of his vision, he offers a particular angle on the world, and a prophetic pedagogy for the gravitas of our time. (shrink)

BackgroundThe landscape of clinical research has evolved over the past decade. With technological advances, the practice of using electronic informed consent has emerged. However, a number of challenges hinder the successful and widespread deployment of eIC in clinical research. Therefore, we aimed to investigate the views of various stakeholders on the potential advantages and challenges of eIC.MethodsSemi-structured interviews were conducted with 39 participants from 5 stakeholder groups from across 11 European countries. The stakeholder groups included physicians, patient organization representatives, regulator (...) representatives, ethics committee members, and pharmaceutical industry representatives, and all were involved in clinical research. Interviews were analyzed using the framework method.ResultsInterviewees identified that a powerful feature of eIC is its personalized approach as it may increase participant empowerment. However, they identified several ethical and practical challenges, such as ensuring research participants are not overloaded with information and offering the same options to research participants who would prefer a paper-based informed consent rather than eIC. According to the interviewees, eIC has the potential to establish efficient long-term interactions between the research participants and the research team in order to keep the participants informed during and after the study. Interviewees emphasized that a personal interaction with the research team is of utmost importance and this cannot be replaced by an electronic platform. In addition, interviewees across the stakeholder groups supported the idea of having a harmonized eIC approach across the European Member States.ConclusionsInterviewees reported a range of design and implementation challenges which needs to be overcome to foster innovation in informing research participants and obtaining their consent electronically. It was considered important that the implementation of eIC runs alongside the face-to-face contact between research participants and the research team. Moreover, interviewees expect that eIC could offer the opportunity to enable a personalized approach and to strengthen continuous communication over time. If successfully implemented, eIC may facilitate the engagement of research participants in clinical research. (shrink)