Friedrich Nietzsche has emerged as one of the most important and influential modern philosophers. For several decades, the book series Monographien und Texte zur Nietzsche-Forschung (MTNF) has set the agenda in a rapidly growing and changing field of Nietzsche scholarship. The scope of the series is interdisciplinary and international in orientation reflects the entire spectrum of research on Nietzsche, from philosophy to literary studies and political theory. The series publishes monographs and edited volumes that undergo a strict peer-review process. The (...) book series is led by an international team of editors, whose work represents the full range of current Nietzsche scholarship. (shrink)

Im Nietzsche-Wörterbuch werden etwa 300 Begriffe aus Nietzsches Vokabular eingehend erläutert, davon 67 imersten Band. Berücksichtigt werden u. a.: Anzahl der Belege, Schwerpunkte im Gebrauch, Synonyme, die verschiedenen Bedeutungen, Bedeutungskomponenten und bedeutungsrelevanten Kontexte, sprachgeschichtliche und philosophiehistorische Lokalsierung von Nietzsches Gebrauch des Wortes, Nietzsche-Forschung und -Rezeption. Das gesamte Wörterbuch umfaßt 4 Bände.

Nietzsche's use of metaphor has been widely noted but rarely focused to explore specific images in great detail. A Nietzschean Bestiary gathers essays devoted to the most notorious and celebrated beasts in Nietzsche's work. The essays illustrate Nietzsche's ample use of animal imagery, and link it to the dual philosophical purposes of recovering and revivifying human animality, which plays a significant role in his call for de-deifying nature.

A response to Lindsay Craig's essay, The So-Called Extended Synthesis and Population Genetics.

Gerd Buchdahl; XIV—The Relation Between ‘Understanding’ and ‘Reason’ in the Architectonic of Kant's Philosophy1, Proceedings of the Aristotelian Society, Volume.

The generative entrenchment of an entity is a measure of how much of the generated structure or activity of a complex system depends upon the presence or activity of that entity. It is argued that entities with higher degrees of generative entrenchment are more conservative in evolutionary changes of such systems. A variety of models of complex structures incorporating the effects of generative entrenchment are presented and we demonstrate their relevance in analyzing and explaining a variety of developmental and evolutionary (...) phenomena, both on a macroscopic developmental and evolutionary scale, and using models and strategies pioneered by Kauffman, on the more microscopic scale appropriate to the analysis of the structure and behavior of gene control networks. The resulting picture suggests that generative entrenchment acts as a powerful and constructive developmental constraint on the course of evolutionary processes. Since virtually any system exhibits varying degrees of generative entrenchment among its parts and activities, these studies and results have in addition broad potential application for the analysis of generative structures in other areas. (shrink)

The inductive category formation framework, an influential set of theories of learning in psychology and artificial intelligence, is deeply flawed. In this framework a set of necessary and sufficient features is taken to define a category. Such definitions are not functionally justified, are not used by people, and are not inducible by a learning system. Inductive theories depend on having access to all and only relevant features, which is not only impossible but begs a key question in learning. The crucial (...) roles of other cognitive processes (such as explanation and credit assignment) are ignored or oversimplified. Learning necessarily involves pragmatic considerations that can only be handled by complex cognitive processes.We provide an alternative framework for learning according to which category definitions must be based on category function. The learning system invokes other cognitive processes to accomplish difficult tasks, makes inferences, analyses and decides among potential features, and specifies how and when categories are to be generated and modified. We also examine the methodological underpinnings of the two approaches and compare their motivations. (shrink)

I. Reputed shortcomings of Descartes as philosopher of science.II ‘Knowledge’ in mathematics and in physics. The ‘ontological’ postulates of Descartes's philosophy and philosophy of physics.III. The ‘foundations of dynamics’: ‘Newton's First Law of Motion’ and its status.IV. Descartes's conception of ‘hypothesis’: the competing claims of the ideal of the a priori in physics and the conception of retroductive inference. V. Descartes's notion of ‘analysis’. The distinction between ‘procedure’ and ‘inference’. The notion of ‘induction’ and ‘understanding through models’: ‘Snell's Law of (...) Refraction’. (shrink)

We present a theory of conversation comprehension in which a line of the conversation is “understood” by relating it to one of seven possible “points”. We define these points, and present examples where it seems plausible that the failure to “get the point” would indeed constitute a failure to understand the conversation. We argue that the recognition of such points must proceed in both a top down and bottom up fashion, and thus is likely to be quite complicated. Finally, we (...) see the processing of information in the conversation to be dependent upon which point classification the user decides upon. (shrink)

Rules of conversation are given that specify what can follow what. A system for deciding what makes a reasonable subject for a conversation is shown. Topics are discussed and rules for topic shift are presented.

The Leuphana Semester at Leuphana University Lüneburg, together with the module “Science bears responsibility” demonstrate how innovative methods of teaching and learning can be combined with the topic of sustainable development and how new forms of university teaching can be introduced. With regard to module content, it has become apparent that, due to the complexity of the field of sustainability, a single discipline alone is unable to provide analyses and solutions. If teaching in higher education is to adequately deal with (...) this complexity, then it is necessary to develop inter- and transdisciplinary approaches that go beyond a purely specialist orientation. (shrink)

In this volume the author tackles this problem in a rigorous analysis which begins with the general dynamics of living systems and leads the reader step-by-step ...

Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about (...) fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock market. As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyone interested in simply making good decisions. (shrink)

This paper outlines some of the issues and basic philosophy that have guided my work and that of my students in the last ten years. It describes the progression of conceptual representational theories developed during that time, as well as some of the research models built to implement those theories. The paper concludes with a discussion of my most recent work in the area of modelling memory. It presents a theory of MOPs (Memory Organization Packets), which serve as both processors (...) and organizers of information in memory. This enables effective categorization of experiences in episodic memory, which in turn enables better predictive understanding of new experiences. (shrink)

Andrews et al. argue for adaptationism in cognitive research. However, the problem of evolvability brings into question the number of genes required for the evolution of cognitive mechanisms. Are there enough? Also, greater consideration should be given to alternative vicarious selection processes, which may produce cognitive mechanisms. Finally, identifying constraints with optimality arguments is more difficult than the authors think.