Mark Couch

Arguments for multiple realization depend on the idea that the same kind of function is realized by different kinds of structures. It is important to such arguments that we know the kinds used in the arguments have been individuated properly. In the philosophical literature, though, claims about how to individuate kinds are frequently decided on intuitive grounds. This paper criticizes this way of approaching kinds by considering how practicing researchers think about the matter. I will consider several examples in which the practice of researchers on comparative vision conflicts with the standard account of these issues.

Evolutionary convergence is often appealed to in support of claims about multiple realization. The idea is that convergence shows that the same function can be realized by different kinds of structures. I argue here that the nature of convergence is more complicated than it might appear at first look. Broad claims about convergence are made by biologists during general discussions of the mechanisms of evolution. In their specialized work, though, biologists are often more limited in the claims they make. I will examine a standard example to show how claims about convergence can be oversimplified.

The claim that a functional kind is multiply realized is typically motivated by appeal to intuitive examples. We are seldom told explicitly what the relevant structures are, and people have often preferred to rely on general intuitions in these cases. This article deals with the problem by explaining how to understand the proper relation between structural kinds and the functions they realize. I will suggest that the structural kinds that realize a function can be properly identified by attending to the context of functional explanation. *Received June 2006; revised June 2009. †To contact the author, please write to: Department of Philosophy, Seton Hall University, 400 South Orange Ave., South Orange, NJ 07079; e‐mail: [email protected].

This paper provides some responses to Tom Polger and Larry Shapiro’s The Multiple Realization Book (2016). I first provide a description of the authors’ framework for thinking about multiple realization and the conditions they claim this involves. I explain what I think they get right and what they get wrong with this framework. After this, I then consider a few examples of multiple realization they discuss and the interpretations they offer. While I am sympathetic to several things they say about multiple realization, I also think there are some questions that have yet to be answered.

The Philosophy of Philip Kitcher contains eleven chapters on the work of noted philosopher Philip Kitcher, whose work is known for its broad range and insightfulness. Topics covered include philosophy of science, philosophy of biology, philosophy of mathematics, ethics, epistemology, and philosophy of religion. Each of the chapters is followed by a reply from Kitcher himself. This first significant edited volume devoted to examining Kitcher's work is an essential reference for anyone interested in understanding this important philosopher

The topic of mechanistic explanation in neuroscience has been a subject of recent discussion. There is a lot of interest in understanding what these explanations involve. Furthermore, there is disagreement about whether neurological mechanisms themselves should be viewed as reductionist in nature. In this paper I will explain how these two issues are related. I will, first, describe how mechanisms support a form of antireductionism. This is because the mechanisms that exist should be seen as involving part-whole relations, where the behavior of a whole is more than the sum of its parts. After this, I will consider mechanistic explanations and how they can be understood. While some people think the explanations concern existing entities in the world, I will argue that we can understand the explanations by viewing them in terms of arguments. Despite the fact that it is possible to understand mechanistic explanations in this manner, the antireductionist point remains.