Name der Zeitschrift: Nietzscheforschung Jahrgang: 21 Heft: 1 Seiten: 117-140.

De se attitudes seem to play a special role in action and cognition. This raises a challenge to the traditional way in which mental attitudes have been understood. In this chapter, we review the case for thinking that de se attitudes require special theoretical treatment and discuss various ways in which the traditional theory can be modified to accommodate de se attitudes.

Let me first state that I like Antti Revonsuo’s discussion of the various methodological and interpretational problems in neuroscience. It shows how careful and methodologically reflected scientists have to proceed in this fascinating field of research. I have nothing to add here. Furthermore, I am very sympathetic towards Revonsuo’s general proposal to call for a Philosophy of Neuroscience that stresses foundational issues, but also focuses on methodological and explanatory strategies.2 In a footnote of his paper, Revonsuo complains – as many (...) others do today – about what is sometimes called “physics imperialism”. This is the view that physics dominates the philosophy of science. I am not sure if this is still the case nowadays, but it is certainly historically correct that almost all work in the field of methodology centered around cases from physics. Although this has been changing, there are still plenty of special sciences philosophers did not worry about much. Admittedly, I am myself a trained physicist and not a neuroscientist and will therefore probably be biased negatively. As it is, I will discuss some examples from physics in order to illustrate my points. (shrink)

Professor H. L. Van Breda had hoped to write this preface, but his recent, unexpected and untimely death has left that task in my hands. Although my remarks will not be as eloquent and insightful as his surely would have been, some few words are clearly in order here; for the phenomenological community has not only lost the leadership of Fr. Van Breda these last years, but also the scholarship and leadership of Aron Gurwitsch and Alden Fisher - both contributors (...) to this volume - as well as that of Dorion Cairns and John Wild. Our leaders are fewer now but Herbert Spiegelberg is still very obviously one of them. This volume thus presents the work of some of the past and presently recognized leaders in phenomenology - e. g. Gurwitsch, Straus, and Fisher - but, more important perhaps, it also presents the work of some of those who are sure to be future leaders of our community of phenomenological philosophers, if in fact they have not already achieved this status. Most, if not all, of the contribu tors to this volume are in some way or another indebted to Herbert Spiegelberg and his work in phenomenology. (shrink)

This study examined narrative identity in a group of 81 patients with schizophrenia and 50 healthy controls through the recall of self-defining memories. The results indicated that patients’ narratives were less coherent and elaborate than those of controls. Schizophrenia patients were severely impaired in the ability to make connections with the self and extract meaning from their memories, which significantly correlated with illness duration. In agreement with earlier research, patients exhibited an early reminiscence bump. Moreover, the period of the reminiscence (...) bump, which is highly relevant for identity development, was characterized by fewer achievements and more life-threatening event experiences, compared with controls. A negative correlation was found between negative symptoms, number of self-event connections and specificity of narratives. Our results suggest that schizophrenia patients have difficulties to organize and extract meaning from their past experiences in order to create coherent personal narratives. (shrink)

Bayesian epistemology addresses epistemological problems with the help of the mathematical theory of probability. It turns out that the probability calculus is especially suited to represent degrees of belief (credences) and to deal with questions of belief change, confirmation, evidence, justification, and coherence. Compared to the informal discussions in traditional epistemology, Bayesian epis- temology allows for a more precise and fine-grained analysis which takes the gradual aspects of these central epistemological notions into account. Bayesian epistemology therefore complements traditional epistemology; it (...) does not re- place it or aim at replacing it. (shrink)

The Repugnant Conclusion served an important purpose in catalyzing and inspiring the pioneering stage of population ethics research. We believe, however, that the Repugnant Conclusion now receives too much focus. Avoiding the Repugnant Conclusion should no longer be the central goal driving population ethics research, despite its importance to the fundamental accomplishments of the existing literature.

Among the questions to be raised under the heading of “personal identity” are these: “What are we?” (fundamental nature question) and “Under what conditions do we persist through time?” (persistence question). Against the dominant neo-Lockean approach to these questions, the view known as animalism answers that each of us is an organism of the species Homo sapiens and that the conditions of our persistence are those of animals. Beyond describing the content and historical background of animalism and its rivals, this (...) entry explores some of the arguments for and objections to this controversial account of our nature and persistence. (shrink)

What are we? What is the nature of the human person? Animalism has a straightforward answer to these long-standing philosophical questions: we are animals. After being ignored for a long time in philosophical discussions of our nature, this idea has recently gained considerable support in metaphysics and philosophy of mind. Containing mainly new papers as well as two highly important articles that were recently published elsewhere, this volume's contributors include both emerging voices in the debate and many of those who (...) have been instrumental in shaping it. Some of their contributions defend animalism, others criticize it, still others explore its more general implications. The book also contains a substantial introduction by the editors explaining what animalism is, identifying leading issues that merit attention, and highlighting many of the issues that the contributors have raised. (shrink)

A commonly held idea regarding the nature of time is that the future is open and the past is fixed or closed. This article investigates the notion that there is an asymmetry in openness between the past and the future. The following questions are considered: How exactly is this asymmetry in openness to be understood? What is the relation between an open future and various ontological views about the future? Is an open future a branching future? What is the relation (...) between an open future and the question of whether contingent statements about the future are true or false? Is an open future compatible with a single determinate future? (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)

Language research has come to rely heavily on large‐scale, web‐based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long‐standing challenges in corpus‐based language research, including determining what counts as a word, deciding which words should be analyzed, and matching sets of words across languages. We illustrate these challenges by revisiting “Word lengths are optimized for efficient communication” (Piantadosi, Tily, & Gibson, (...) 2011), which found that word lengths in 11 languages are more strongly correlated with their average predictability (or average information content) than their frequency. Using what we argue to be best practices for large‐scale corpus analyses, we find significantly attenuated support for this result and demonstrate that a stronger relationship obtains between word frequency and length for a majority of the languages in the sample. We consider the implications of the results for language research more broadly and provide several recommendations to researchers regarding best practices. (shrink)