Abteilung Philosophie

In this paper I argue that it is finally time to move beyond the Nagelian framework and to break new ground in thinking about epistemic reduction in biology. I will do so, not by simply repeating all the old objections that have been raised against Ernest Nagel’s classical model of theory reduction. Rather, I grant that a proponent of Nagel’s approach can handle several of these problems but that, nevertheless, Nagel’s general way of thinking about epistemic reduction in terms of theories and their logical relations is entirely inadequate with respect to what is going on in actual biological research practice.

"In the contemporary life sciences more and more researchers emphasize the “limits of reductionism” (e.g. Ahn et al. 2006a, 709; Mazzocchi 2008, 10) or they call for a move “beyond reductionism” (Gallagher/Appenzeller 1999, 79). However, it is far from clear what exactly they argue for and what the envisioned limits of reductionism are. In this paper I claim the current discussions about reductionism in the life sciences, which focus on methodological and explanatory issues, leave the concepts of a reductive method and a reductive explanation too unspecified. In order to fill this gap and to clarify what the limits of reductionism are I identify three reductive methods that are crucial in the current practice of the life sciences: decomposition, focusing on internal factors, and studying parts in isolation (i.e. not in vivo). Furthermore, I argue that reductive explanations in the life sciences exhibit three characteristics: they refer only to factors at a lower level than the phenomenon at issue, they focus on internal factors and thus ignore or simplify the environment of a system, and they cite only the parts of a system in isolation."

Leuridan (2011) questions whether mechanisms can really replace laws at the heart of our thinking about science. In doing so, he enters a long-standing discussion about the relationship between the mech-anistic structures evident in the theories of contemporary biology and the laws of nature privileged especially in traditional empiricist traditions of the philosophy of science (see e.g. Wimsatt 1974; Bechtel and Abrahamsen 2005; Bogen 2005; Darden 2006; Glennan 1996; MDC 2000; Schaffner 1993; Tabery 2003; Weber 2005). In our view, Leuridan misconstrues this discussion. His weak positive claim that mechanistic sciences appeal to generalizations is true but uninteresting. His stronger claim, that all causal claims require laws, is unsupported by his arguments. Though we proceed by criticizing Leuridan’s arguments, our greater purpose is to embellish his arguments in order to show how thinking about mechanisms enriches and transforms old philosophical debates about laws in biology and provides new insights into how generalizations afford prediction, explanation and control.

Philip Kitcher is one of the most distinguished philosophers of our days. Since the rise of philosophy of biology in the 1960s Kitcher has deeply influenced and inspired many of the debates in this field. Among his most important books are The Advancement of Science (1993), In Mendel’s Mirror: Philosophical Reflections on Biology (2003), and Science in a Democratic Society (2011). However, Kitcher’s philosophical interest is not restricted to the philosophy of science. Rather, he has also made groundbreaking contributions to ethics, to the philosophy of religion, to the philosophy of literature, to the philoso-phy of mathematics, and, most recently, to pragmatism.
From a general perspective, two features of Kitcher’s work are particu-larly noteworthy. First, in most of his writings it becomes apparent that he takes a naturalistic stance. Kitcher characterizes himself as having an “impulse to naturalism”, which means that he resists the expansionist tendency to invoke entities or processes that are quite different from those studied in the various branches of inquiry (like Platonic forms or other abstract entities, Cartesian egos, and faculties of pure reason). Kitcher has explicated his naturalistic stance in The Naturalists Return (1992) and refined it in various recent works.
Second, the philosophical questions that always have urged Kitcher most are questions that matter to human lives. Just to mention a few examples, these are questions like “How do we reconcile our scientific picture of the world with religion?”, “In which way does social practice impact scientist’s search for knowledge?”, or “How do we understand and improve our moral practices?”. In recent years Kitcher has argued that his focus is not merely due to his personal interests. Rather, he thinks that the only philosophical problems that are significant are those whose solution makes a difference to contemporary human life. Philosophers would be wise to focus on these pragmatically relevant kinds of questions, rather than addressing questions that are isolated from real life. In defending this claim, Kitcher expresses his affinity to the pragmatist tradition of Dewey and others. Thus, the second major characteristic of Kitcher’s work is that he takes up a pragmatist stance.
Although Kitcher’s naturalistic and pragmatist impulses are discernible in most of his writings, he has only lately started to explicitly defend what he now calls pragmatic naturalism. His work on pragmatic naturalism contains innovative insights into questions about naturalism and pragmatism, while at the same time providing a meta-philosophical, unificatory framework for his longstanding work in various philosophical fields. Kitcher’s paper that is printed in this volume is one of the first publications in which he sets out his idea of pragmatic naturalism.
This volume is the result of the 15th Münster Lectures in Philosophy which were hosted by the Department of Philosophy of the University of Münster from the 27th to the 29th of October 2011. The basic idea of the Lectures is to give advanced students of the Department the opportunity to get into discus-sion with important philosophers of our days. In line with what has become by now a venerable tradition, Kitcher gave a lecture to a public audience on the first evening of the Lectures, and he participated in a colloquium on the following two days. At this colloquium, eight groups of advanced students and faculty members presented papers on a wide range of topics from Kitch-er’s work. Both the lecture and the papers are published in this volume. In addition, it contains Kitcher’s detailed replies to the colloquium papers.

We take the potentialities that are studied in the biological sciences (e.g., totipotency) to be an important subtype of biological dispositions. The goal of this paper is twofold: first, we want to provide a detailed understanding of what biological dispositions are. We claim that two features are essential for dispositions in biology: the importance of the manifestation process and the diversity of conditions that need to be satisfied for the disposition to be manifest. Second, we demonstrate that the concept of a disposition (or potentiality) is a very useful tool for the analysis of the explanatory practice in the biological sciences. On the one hand it allows an in-depth analysis of the nature and diversity of the conditions under which biological systems display specific behaviors. On the other hand the concept of a disposition may serve a unificatory role in the philosophy of the natural sciences since it captures not only the explanatory practice of biology, but of all natural sciences. Towards the end we will briefly come back to the notion of a potentiality in biology.

This paper examines the adequacy of causal graph theory as a tool for modeling biological phenomena. I argue that the causal graph approach reaches its limits when it comes to modeling biological phenomena that involve complex spatial and chemical-structural relations. Using a case study from molecular biology, I show why causal graph models fail to adequately represent and explain biological phenomena of this kind. The inadequacy of these models is due to their failure to include relevant spatial-structural information in a way that does not render the models non-explanatory, unmanageable, or inconsistent with basic assumptions of causal graph theory.

In this paper, we discuss the problems and prospects of interdisciplinary encounters between philosophy of science and the sciences, from the perspective of individual researchers as well as institutions. In the first Section we name some general problems concerning the possible points of interaction and the content of interdisciplinary research. In the second Section we compare the advantages and risks of interdisciplinarity for researchers and institutions. In the third Section we discuss interdisciplinary PhD programs, in particular concerning two main problems: increased workload and the quality of supervision. In the final Section 4, we look at interdisciplinary careers beyond the PhD.

In this paper, we discuss some problems and prospects of interdisciplinary encounters by focusing on philosophy of science as a case study. After introducing the case, we give an overview about the various ways in which philosophy of science can be interdisciplinary in Section 2. In Section 3, we name some general problems concerning the possible points of interaction between philosophy of science and the sciences studied. In Section 4 we compare the advantages and risks of interdisciplinarity for individual researchers and institutions. In Section 5, we discuss interdisciplinary PhD programs, in particular concerning two main problems: increased workload and the quality of supervision. In the final Section 6, we look at interdisciplinary careers beyond the PhD.

Mechanisms are said to consist of two kinds of components, entities and activities. In the first half of this chapter, I examine what entities and activities are, how they relate to well-known ontological categories, such as processes or dispositions, and how entities and activities relate to each other (e.g., can one be reduced to the other or are they mutually dependent?). The second part of this chapter analyzes different criteria for individuating the components of mechanisms and discusses how real the boundaries of mechanisms are.