Some explanations are relatively abstract: they abstract away from the idiosyncratic or messy details of the case in hand. The received wisdom in philosophy is that this is a virtue for any explanation to possess. I argue that the apparent consensus on this point is illusory. When philosophers make this claim, they differ on which of four alternative varieties of abstractness they have in mind. What’s more, for each variety of abstractness there are several alternative reasons to think that the (...) variety of abstractness in question is a virtue. I identify the most promising reasons, and dismiss some others. The paper concludes by relating this discussion to the idea that explanations in biology, psychology and social science cannot be replaced by relatively micro explanations without loss of understanding. (shrink)

It is generally believed that moral reductionism is immune from notorious problems in moral metaphysics and epistemology, such as the problem of moral explanation – it is at least on this dimension that moral reductionism scores better than moral anti- reductionism. However, in this article I reject this popular view. First, I argue that moral reductionism fails to help vindicate the explanatory efficacy of moral properties because the reductionist solution is either circular or otiose. Second, I attempt to show that (...) a successful vindication, if any, of moral explanation requires moral-descriptive irreducibility. My discussion thus raises an explanatory challenge to moral reductionism. (shrink)

I explore a Davidsonian proposal for the reconciliation of two theses. One is the supervenience of the mental on the physical, the other is the anomalism of the mental. The gist of the proposal is that supervenience and anomalism are theses about interpretation. Starting with supervenience, the claim is that it should not be understood in terms of deeper metaphysical relations, but as a constraint on the relations between the applications of physical and mental predicates. Regarding anomalism, the claim is (...) that psychophysical laws have to satisfy certain counterfactual cases, in which an interpreter evaluates her past attributions in the light of new pieces of evidence. The proposed reconciliation is that supervenience entails that an interpreter will always attribute the same mental predicates to two individuals with the same physical states. However, supervenience does not imply that an interpreter cannot revise her past attributions to the two individuals. (shrink)

Recent years have witnessed an increasing number of attempts to reconstruct Marxian theory in forms that can be assessed by reference to currently received standards in various disciplines. The work has even been said to establish a new paradigm: “analytical Marxism.” One doesn't have to endorse this claim to recognize a good deal of merit in the work. Through creative application of state-of-the-art methods to traditional Marxian issues, researchers have promoted productive cross-fertilization with non-Marxian programs and have revealed many problems (...) that must be resolved for fruitful development of Marxian theory. Marx's work can be relevant to today's problems only if it is examined from vantage points provided by subsequent scientific and philosophical achievements. Moreover, critical engagement with the best science of the day has been an essential part of the Marxian theoretical project from the beginning. (shrink)

I defend an account of explanatory depth according to which explanations in the non-fundamental sciences can be deeper than explanations in fundamental physics.

In this paper I offer an analysis of causation based upon a theory of mechanisms-complex systems whose internal parts interact to produce a system's external behavior. I argue that all but the fundamental laws of physics can be explained by reference to mechanisms. Mechanisms provide an epistemologically unproblematic way to explain the necessity which is often taken to distinguish laws from other generalizations. This account of necessity leads to a theory of causation according to which events are causally related when (...) there is a mechanism that connects them. I present reasons why the lack of an account of fundamental physical causation does not undermine the mechanical account. (shrink)

This paper examines the relationship between modern theories of microeconomics and macroeconomics and, more generally, it evaluates the prospects of theoretically reducing macroeconomics to microeconomics. Many economists have shown strong interest in providing "microfoundations" for macroeconomics and much of their work is germane to the issue of theoretical reduction. Especially relevant is the work that has been done on what is called The Problem of Aggregation. On some accounts, The Problem of Aggregation just is the problem of reducing macroeconomics to (...) microeconomics. I show how to separate these problems and then try to determine to what extent particular kinds of solutions to The Problem of Aggregation succeed in reducing macroeconomics to microeconomics as well. I argue that reduction is not possible by this means given the current state of microeconomics. I also describe how reduction may be possible by means of (dis)aggregation if microeconomics is supplemented in a certain way with the results of experimental research on individual economic agents. (shrink)

Daniel Steel argues that a causal theory of explanation can account for Ferguson's anthropological theory of Yanomami warfare but that a unification theory of explanation cannot. I argue that a unification theory can explain such an account, in a manner similar to Hempel's view of explanation in history. I go on to argue that the unification theory allows for different explanations of specific and general social circumstances.

What counts as a computation and how it relates to cognitive function are important questions for scientists interested in understanding how the mind thinks. This paper argues that pragmatic aspects of explanation ultimately determine how we answer those questions by examining what is needed to make rigorous the notion of computation used in the (cognitive) sciences. It (1) outlines the connection between the Church-Turing Thesis and computational theories of physical systems, (2) differentiates merely satisfying a computational function from true computation, (...) and finally (3) relates how we determine a true computation to the functional methodology in cognitive science. All of the discussion will be directed toward showing that the only way to connect formal notions of computation to empirical theory will be in virtue of the pragmatic aspects of explanation. (shrink)

The view that the brain is a sort of computer has functioned as a theoretical guideline both in cognitive science and, more recently, in neuroscience. But since we can view every physical system as a computer, it has been less than clear what this view amounts to. By considering in some detail a seminal study in computational neuroscience, I first suggest that neuroscientists invoke the computational outlook to explain regularities that are formulated in terms of the information content of electrical (...) signals. I then indicate why computational theories have explanatory force with respect to these regularities:in a nutshell, they underscore correspondence relations between formal/mathematical properties of the electrical signals and formal/mathematical properties of the represented objects. I finally link my proposal to the philosophical thesis that content plays an essential role in computational taxonomy. (shrink)

What might a theory of mental imagery look like, and how might one begin formulating such a theory? These are the central questions addressed in the present paper. The first section outlines the general research direction taken here and provides an overview of the empirical foundations of our theory of image representation and processing. Four issues are considered in succession, and the relevant results of experiments are presented and discussed. The second section begins with a discussion of the proper form (...) for a cognitive theory, and the distinction between a theory and a model is developed. Following this, the present theory and computer simulation model are introduced. This theory specifies the nature of the internal representations (data structures) and the processes that operate on them when one generates, inspects, or transforms mental images. In the third, concluding, section we consider three very different kinds of objections to the present research program, one hinging on the possibility of experimental artifacts in the data, and the others turning on metatheoretical commitments about the form of a cognitive theory. Finally, we discuss how one ought best to evaluate theories and models of the sort developed here. (shrink)

A large part of Hilary Putnam’s latest work is spent on disagreeing with John McDowell’s conceptualist view of perception which has been expressed in Mind and World and the McDowellian disjunctivism. Nevertheless, Putnam does not articulate which specific aspects of McDowell’s view he disagrees with. This paper endeavours to: first, clarify what Putnam’s disagreement with McDowell precisely is based on an investigation of the views held by each of the two philosophers regarding the problem of the mind and perception, as (...) well as their attitudes toward the relevant sciences; and second, examine Putnam’s argument against McDowell, then reconstruct it in its most plausible form. Before diving into Putnam’s exact disagreement with McDowell in §3, I consider it important to first clarify the common stance that the two philosophers share, namely the stance which opposes reductionism and eliminativism about the mind. Following that, I will explicate the views held by each of the two philosophers as well as point out where they diverge or disagree on. We will see that Putnam has appreciated the virtue in McDowell’s conceptualist view of doxastic perception. Nevertheless, Putnam argues that perceptual experience is not exhausted by what must be put under the actualisation of the perceiving subject’s conceptual capacities, and there is the dimension of ‘sense impression’, together with the possibility for science’s intervention to our discussion on perception, that has been neglected by McDowell. Finally, in §4, I will discuss some problems I have found in Putnam’s argument and give my own solutions in the hope of contributing to today’s current debates. I argue that ‘sense impression’, though it exceeds the perceiver’s acquired conceptual capacities, must in principle be conceptual insofar as it can be intelligible to us. Putnam’s criticism of McDowell only stands if McDowell’s conceptualist view is understood as a static first-order metaphysical picture of human perception. Meanwhile, Putnam’s proposal for science’s intervention should be taken not as aiming at a better substitutive picture to McDowell’s, but as advocating a certain attitude towards our enterprise of studying human perception which is always open to possible collaborations between different disciplines as well as to possible critiques from future reflections. (shrink)

This volume argues for a new image of science that understands both natural and social phenomena to be the product of mechanisms, casting the work of science as an effort to understand those mechanisms. Glennan offers an account of the nature of mechanisms and of the models used to represent them in physical, life, and social sciences.

The thesis that mental properties are dependent, or supervenient, on physical properties, but this dependence is not lawlike, has been influential in contemporary philosophy of mind. It is put forward explicitly in Donald Davidson's seminal ‘Mental Events.’ On the one hand, Davidson claims that the mental is anomalous, that ‘there are no strict deterministic laws on the basis of which mental events can be predicted and explained’ (1970, 208), and, in particular, that there are no strict psychophysical laws. On the (...) other hand, he insists that the mental supervenes on the physical; that ‘mental characteristics are in some sense dependent, or supervenient, on physical characteristics’ (1970, 214). (shrink)

_ Source: _Page Count 14 Jonathan Vogel has argued in support of an explanationist response to skepticism in several works. Central to this explanationist response is the fact that our non-skeptical view of the world is a better explanation of our experiences than its skeptical rivals. Despite the plausibility of this response to skepticism, it is not without its critics. Recently, Matthew Gifford has argued that Vogel’s response has problems on two fronts. First, Gifford argues that Vogel’s strategy for showing (...) that the rwh is a better explanation than its skeptical rivals fails. Second, he argues that if Vogel’s strategy does succeed, then it accomplishes too much—it removes skeptical doubts when it should not. I argue that Gifford is mistaken on both accounts. (shrink)

The thesis that mental properties are dependent, or supervenient, on physical properties, but this dependence is not lawlike, has been influential in contemporary philosophy of mind. It is put forward explicitly in Donald Davidson's seminal ‘Mental Events.’ On the one hand, Davidson claims that the mental is anomalous, that ‘there are no strict deterministic laws on the basis of which mental events can be predicted and explained’, and, in particular, that there are no strict psychophysical laws. On the other hand, (...) he insists that the mental supervenes on the physical; that ‘mental characteristics are in some sense dependent, or supervenient, on physical characteristics’. (shrink)

P. Kitcher's unification theory of explanation appears to endorse a reductionistic view of scientific explanation that is inconsistant with scientific practice. In this paper, I argue that this appearance is illusory. The existence of multiply realizable generalizations enable the unification theory to also count many high-level accounts as explanatory.

I offer an account of the relation between explanations of behaviour in terms of psychological states and explanations in terms of neural states that: makes it transparent how they can be true together; explains why explanations in terms of psychological states are characteristically of behaviour described in general and relational terms, and explains why certain sorts of neurological investigations undermine psychological explanations of behaviour, while others leave them intact. In the course of the argument, I offer an account of implicit (...) theories. (shrink)

Fodor & Pylyshyn (1981) criticize J. J. Gibson's ecological account of perception for failing to address what I call the 'correlation problem' in visual perception. That is, they charge that Gibson cannot explain how perceivers learn to correlate detectable properties of the light with perceptible properties of the environment. Furthermore, they identify the correlation problem as a crucial issue for any theory of visual perception, what I call a 'primary problem'—i.e. a problem which plays a definitive role in establishing the (...) concerns of a particular scientific research program. If they are correct, Gibson's failure to resolve this problem would cast considerable doubt upon his ecological approach to perception. In response, I argue that both Fodor & Pylyshyn's problem itself and their proposed inferential solution embody a significant mistake which needs to be eliminated from our thinking about visual perception. As part of my response, I also suggest a Gibsonian alternative to Fodor & Pylyshyn's primary problem formulation. (shrink)

Individualists claim that wide explanations in psychology are problematic. I argue that wide psychological explanations sometimes have greater explanatory power than individualistic explanations. The aspects of explanatory power I focus on are causal depth and theoretical appropriateness. Reflection on the depth and appropriateness of other wide explanations of behavior, such as evolutionary explanations, clarifies why wide psychological explanations sometimes have more causal depth and theoretical appropriateness than narrow psychological explanations. I also argue for the rejection of eliminative materialism.

Jaegwon Kim’s influential exclusion argument attempts to demonstrate the inconsistency of nonreductive materialism in the philosophy of mind. Kim’s argument begins by showing that the three main theses of nonreductive materialism, plus two additional considerations, lead to a specific and familiar picture of mental causation. The exclusion argument can succeed only if, as Kim claims, this picture is not one of genuine causal overdetermination. Accordingly, one can resist Kim’s conclusion by denying this claim, maintaining instead that the effects of the (...) mental are always causally overdetermined. I call this strategy the ‘ overdetermination challenge’. One of the main aims of this paper is to show that the overdetermination challenge is the most appropriate response to Kim’s exclusion argument, at least in its latest form. I argue that Kim fails to adequately respond to the overdetermination challenge, thus failing to prevent his opponents from reasonably maintaining that the effects of the mental are always causally overdetermined. Interestingly, this discussion reveals a curious dialectical feature of Kim’s latest response to the overdetermination challenge: if it succeeds, then a new, simpler and more compact version of the exclusion argument is available. While I argue against the consequent of this conditional, thereby also rejecting the antecedent, this dialectical feature should be of interest to philosophers on either side of this debate. (shrink)

In the Fall of 1983, I offered a junior/senior-level course in Philosophy of Artificial Intelligence, in the Department of Philosophy at SUNY Fredonia, after returning there from a year’s leave to study and do research in computer science and artificial intelligence (AI) at SUNY Buffalo. Of the 30 students enrolled, most were computerscience majors, about a third had no computer background, and only a handful had studied any philosophy. (I might note that enrollments have subsequently increased in the Philosophy Department’s (...) AI-related courses, such as logic, philosophy of mind, and epistemology, and that several computer science students have added philosophy as a second major.) This article describes that course, provides material for use in such a course, and offers a bibliography of relevant articles in the AI, cognitive science, and philosophical literature. (shrink)

Recently, several philosophers have argued that nonreductive physicalism is a false, unstable, and incoherent position. I argue that the position these critics are attacking is a straw one. To help explain why let us distinguish three issues about which nonreductive physicalists might plausibly be thought to have an opinion: ontological considerations about the types of things that exist at a world, issues involving the existence and nature of any dependency relationships between the types of things that exist at a world, (...) and epistemological questions regarding the best way to describe, explain, or characterize the types of things that exist at a world. I argue that reductive and nonreductive physicalists essentially agree with respect to the first two issues, but disagree with respect to the last issue. Nonreductive physicalists advocate a position that is ontologically or metaphysically reductive, but epistemologically or representationally nonreductive. Although this position could prove false on empirical grounds, it is neither unstable nor incoherent. (shrink)

Philosophers of science typically associate the causal-mechanical view of scientific explanation with the work of Railton and Salmon. In this paper I shall argue that the defects of this view arise from an inadequate analysis of the concept of mechanism. I contrast Salmon's account of mechanisms in terms of the causal nexus with my own account of mechanisms, in which mechanisms are viewed as complex systems. After describing these two concepts of mechanism, I show how the complex-systems approach avoids certain (...) objections to Salmon's account of causal-mechanical explanation. I conclude by discussing how mechanistic explanations can provide understanding by unification. (shrink)

Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be 'biologically plausible': models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting existing data, (...) and (3) the derivation of new predictions. All three sources of support require modelers to be explicit about the ontology of the model, and require the existence of data constraining the modeling. For situations in which such data are only sparsely available, we suggest a new approach. If several models are constructed that together form a hierarchy of models, higher-level models can be constrained by lower-level models, and low-level models can be constrained by behavioral features of the higher-level models. Modeling the same substrate at different levels of representation, as proposed here, thus has benefits that exceed the merits of each model in the hierarchy on its own. (shrink)

Unlike the overall framework of Ernest Nagel's work on reduction, his theory of intertheoretic connection still has life in it. It handles aptly cases where reduction requires complex representation of a target domain. Abandoning his formulation as too liberal was a mistake. Arguments that it is too liberal at best touch only Nagel's deductivist theory of explanation, not his condition of connectability. Taking this condition seriously gives a powerful view of reduction, but one which requires us to index explanatory power (...) to sciences as they are formulated at particular times. While we may thereby reduce more than philosophers have supposed, we must abandon hope (as Nagel did) of saying anything useful about reductionism. (shrink)