Scientific Representations as Limiting Cases

In this essay, I shall show that the so-called inferential (Suárez 2003 and 2004) and interpretational (Contessa 2007) accounts of scientific representation are respectively unsatisfactory and too weak to account for scientific representation (pars destruens). Along the way, I shall also argue that the pragmatic similarity (Giere 2004 and Giere 2010) and the partial isomorphism (da Costa and French 2003 and French 2003) accounts are unable to single out scientific representation. In the pars construens I spell out a limiting case account which has explanatory surplus vis à vis the approaches which I have previously reviewed. My account offers an adequate treatment of scientific representation, or so I shall try to argue. Central to my account is the notion of a pragmatic limiting case, which will be characterized in due course.     

Similarity and Scientific Representation

The similarity view of scientific representation has recently been subjected to strong criticism. Much of this criticism has been directed against a ‘naive’ similarity account, which tries to explain representation solely in terms of similarity between scientific models and the world. This article examines the more sophisticated account offered by the similarity view's leading proponent, Ronald Giere. In contrast to the naive account, Giere's account appeals to the role played by the scientists using a scientific model. A similar move is often made by defenders of resemblance theories of depiction, who invoke the role played by the artist, or by the viewers of a painting. In this article I look to debates over depiction to assess the difficulties facing those who wish to defend the similarity view of scientific representation. I then turn to examine Giere's account. Ultimately, I argue, this account is unsuccessful: while appealing to the role of scientists offers a promising way to defend the similarity view, Giere's own account does not capture what it is that scientists do when they use a model to represent the world.     

Informational versus functional theories of scientific representation

Recent work in the philosophy of science has generated an apparent conflict between theories attempting to explicate the nature of scientific representation. On one side, there are what one might call ‘informational’ views, which emphasize objective relations (such as similarity, isomorphism, and homomorphism) between representations (theories, models, simulations, diagrams, etc.) and their target systems. On the other side, there are what one might call ‘functional’ views, which emphasize cognitive activities performed in connection with these targets, such as interpretation and inference. The main sources of the impression of conflict here are arguments by some functionalists to the effect that informational theories are flawed: it is suggested that relations typically championed by informational theories are neither necessary nor sufficient for scientific representation, and that any theory excluding functions is inadequate. In this paper I critically examine these arguments, and contend that, as it turns out, informational and functional theories are importantly complementary.     

The plurality of concepts

Traditionally, theories of concepts in psychology assume that concepts are a single, uniform kind of mental representation. But no single kind of representation can explain all of the empirical data for which concepts are responsible. I argue that the assumption that concepts are uniformly the same kind of mental structure is responsible for these theories’ shortcomings, and outline a pluralist theory of concepts that rejects this assumption. On pluralism, concepts should be thought of as being constituted by multiple representational kinds, with the particular kind of concept used on an occasion being determined by the context. I argue that endorsing pluralism does not lead to eliminativism about concepts as an object of scientific interest.     

Ludwig Boltzmann's Bildtheorie and Scientific Understanding

Boltzmann’s Bildtheorie, which asserts that scientific theories are ‘mental pictures’ having at best a partial similarity to reality, was a core element of his philosophy of science. The aim of this article is to draw attention to a neglected aspect of it, namely its significance for the issue of scientific explanation and understanding, regarded by Boltzmann as central goals of science. I argue that, in addition to being an epistemological view of the interpretation of scientific theories Boltzmann’s Bildtheorie has implications for the nature of scientific understanding. This aspect has as yet been ignored because discussion of the Bildtheorie has been restricted to the realism-instrumentalism debate. To elucidate my analysis of Boltzmann’s Bildtheorie concrete examples are presented, and the pragmatist and Darwinist roots of Boltzmann’s view are discussed. Moreover, I propose to use Boltzmann’s ideas as a starting-point for developing a novel analysis of the notion of scientific understanding, of which a brief impression is given. It shows that the study of Boltzmann’s philosophy is not only of historical interest but can be relevant also to modern philosophy of science and to the methodology of theoretical physics. This revised version was published online in June 2006 with corrections to the Cover Date.     

A new characterization of scientific theories

First, I discuss the older “theory-centered” and the more recent semantic conception of scientific theories. I argue that these two perspectives are nothing more than terminological variants of one another. I then offer a new theory-centered view of scientific theories. I argue that this new view captures the insights had by each of these earlier views, that it’s closer to how scientists think about their own theories, and that it better accommodates the phenomenon of inconsistent scientific theories.     

Kuhnian Revolutions Revisited

I re-examine Kuhn’s account of scientific revolutions. I argue that the sorts of events Kuhn regards as scientific revolutions are a diverse lot, differing in significant ways. But, I also argue that Kuhn does provide us with a principled way to distinguish revolutionary changes from non-revolutionary changes in science. Scientific revolutions are those changes in science that (1) involve taxonomic changes, (2) are precipitated by disappointment with existing practices, and (3) cannot be resolved by appealing to shared standards. I argue that an important and often overlooked dimension of the Kuhnian account of scientific change is the shift in focus from theories to research communities. Failing to make this shift in perspective might lead one to think that when individual scientists change theories a scientific revolution has occurred. But, according to Kuhn, it is research communities that undergo revolutionary changes, not individual scientists. I show that the change in early modern astronomy is aptly characterized as a Kuhnian revolution.     

Re-inflating the Conception of Scientific Representation

This article argues for an anti-deflationist view of scientific representation. Our discussion begins with an analysis of the recent Callender–Cohen deflationary view on scientific representation. We then argue that there are at least two radically different ways in which a thing can be represented: one is purely symbolic, and therefore conventional, and the other is epistemic. The failure to recognize that scientific models are epistemic vehicles rather than symbolic ones has led to the mistaken (deflationary) view that whatever distinguishes scientific models from other representational vehicles must merely be a matter of pragmatics. It is then argued that even though epistemic vehicles also contain conventional elements, they do their job of demonstration (or showing) in spite of such elements.     

Perception and the external world

In this paper, I argue that perception justifies belief about the external world in virtue of its phenomenal character together with its relations to the external world. But I argue that perceptual relations to the external world impact on the justifying role of perception only by virtue of their impact on its representational content. Epistemic level-bridging principles provide a principled rationale for avoiding more radically externalist theories of perceptual justification.     

AGENCY,AUTONOMY, AND SOCIAL INTELLIGIBILITY

Popular Frankfurt‐style theories of autonomy hold that (i) autonomy is motivation in action by psychological attitudes that have ‘authority’ to constitute the agent's perspective, and (ii) attitudes have this authority in virtue of their formal role in the individual's psychological system, rather than their substantive content. I pose a challenge to such ‘psychologistic’ views, taking Frankfurt's and Bratman's theories as my targets. I argue that motivation by attitudes that play the roles picked out by psychologistic theories is compatible with radically unintelligible behavior. Because of this, psychologistic views are committed to classifying certain agents as ‘autonomous’ whom we intuitively find to be dysfunctional. I then argue that a necessary condition for autonomy is that an agent's behavior is intelligible in a particular way: autonomy necessarily involves acting from a subjective practical perspective that is, in principle, minimally comprehensible to others – not simply in a causal sense, but in a substantive, socio‐cultural sense.     

Learning from the past: Reflections on the role of history in the philosophy of science

In recent years philosophers of science have turned away from positivist programs for explicating scientific rationality through detailed accounts of scientific procedure and turned toward large-scale accounts of scientific change. One important motivation for this was better fit with the history of science. Paying particular attention to the large-scale theories of Lakatos and Laudan I argue that the history of science is no better accommodated by the new large-scale theories than it was by the earlier positivist philosophies of science; both are, in their different ways, parochial to our conception of rationality. I further argue that the goal of scientific methodology is not explaining the past but promoting good scientific practice, and on this the large-scale methodologies have no obvious a priori advantages over the positivist methodologies they have tried to replace.     

The Logical Problem and the Theoretician's Dilemma

The theory‐theory of human uniqueness posits that the capacity to theorize, in a way strongly analogous to theorizing in scientific practice, was a key innovation in the hominid lineage and was responsible for many of our unique cognitive traits. One of the central arguments that its proponents have used to support the claim that animals are not theorists, the logical problem, bears strong similarities to Hempel's theoretician's dilemma, which purports to show that theories are unnecessary. This similarity threatens to undermine both the claim that theorizing serves a unique, adaptive role in human cognition and our ability to test for the presence of theories. I examine two historical responses to the theoretician's dilemma and argue that they open up strategies for experimentally testing for theoretical ability in other animals.     

Indiscriminable shades and demonstrative concepts

Virtue ethicists argue that modern ethical theories aim to give direct guidance about particular situations at the cost of offering artificial or narrow accounts of ethics. In contrast, virtue ethical theories guide action indirectly by helping one understand the virtues—but the theory will not provide answers as to what to do in particular instances. Recently, this had led many to think that virtue ethical theories are self-effacing the way some claim consequentialist and deontological theories are. In this paper I defend virtue ethics against the charge of self-effacement. I distinguish between modestly self-effacing theories, immodestly self-effacing theories and theories that recommend indirect guidance. Though all self-effacing theories are indirect, not all indirect theories are self-effacing. I argue that virtue ethics is not self-effacing, but rather indirectly action-guiding. The response I articulate draws on the distinctive virtue ethical mode of action-guidance: namely, that thinking hard about virtue and what kind of person one aims to be offers the kind of guidance we want (or should want) as we face practical moral problems.     

Epistemic representation, informativeness and the aim of faithful representation

In this paper, I take scientific models to be epistemic representations of their target systems. I define an epistemic representation to be a tool for gaining information about its target system and argue that a vehicle’s capacity to provide specific information about its target system—its informativeness—is an essential feature of this kind of representation. I draw an analogy to our ordinary notion of interpretation to show that a user’s aim of faithfully representing the target system is necessary for securing this feature.     

Toward a Purely Axiological Scientific Realism

The axiological tenet of scientific realism, “science seeks true theories,” is generally taken to rest on a corollary epistemological tenet, “we can justifiably believe that our successful theories achieve (or approximate) that aim.” While important debates have centered on, and have led to the refinement of, the epistemological tenet, the axiological tenet has suffered from neglect. I offer what I consider to be needed refinements to the axiological postulate. After showing an intimate relation between the refined postulate and ten theoretical desiderata, I argue that the axiological postulate does not depend on its epistemological counterpart; epistemic humility can accompany us in the quest for truth. Upon contrasting my axiological postulate against the two dominant non-realist alternatives and the standard realist postulate, I contend that its explanatory and justificatory virtues render it, among the axiologies considered, the richest account of the scientific enterprise.     

Justifying the Special Theory of Relativity with Unconceived Methods

Many realists argue that present scientific theories will not follow the fate of past scientific theories because the former are more successful than the latter. Critics object that realists need to show that present theories have reached the level of success that warrants their truth. I reply that the special theory of relativity has been repeatedly reinforced by unconceived scientific methods, so it will be reinforced by infinitely many unconceived scientific methods. This argument for the special theory of relativity overcomes the critics’ objection, and has advantages over the no-miracle argument and the selective induction for it.     

A Biological Alternative to Moral Explanations

Some moral realists claim that moral facts are a species of natural fact, amenable to scientific investigation. They argue that these moral facts are needed in the best explanations of certain phenomena and that this is evidence that they are real. In this paper I present part of a biological account of the function of morality. The account allows the identification of a plausible natural kind that could play the explanatory role that a moral kind would play in naturalist realist theories. It is therefore a candidate for being the moral kind. I argue, however, that it will underdetermine the morally good, that is, identifying the kind is not sufficient to identify what is good. Hence this is not a natural moral kind. Its explanatory usefulness, however, means that we do not have to postulate any further (moral) facts to provide moral explanations. Hence there is no reason to believe that there are any natural moral kinds.     

Representations gone mental

Many philosophers and psychologists have attempted to elucidate the nature of mental representation by appealing to notions like isomorphism or abstract structural resemblance. The ‘structural representations’ that these theorists champion are said to count as representations by virtue of functioning as internal models of distal systems. In his 2007 book, Representation Reconsidered, William Ramsey endorses the structural conception of mental representation, but uses it to develop a novel argument against representationalism, the widespread view that cognition essentially involves the manipulation of mental representations. Ramsey argues that although theories within the ‘classical’ tradition of cognitive science once posited structural representations, these theories are being superseded by newer theories, within the tradition of connectionism and cognitive neuroscience, which rarely if ever appeal to structural representations. Instead, these theories seem to be explaining cognition by invoking so-called ‘receptor representations’, which, Ramsey claims, aren’t genuine representations at all—despite being called representations, these mechanisms function more as triggers or causal relays than as genuine stand-ins for distal systems. I argue that when the notions of structural and receptor representation are properly explicated, there turns out to be no distinction between them. There only appears to be a distinction between receptor and structural representations because the latter are tacitly conflated with the ‘mental models’ ostensibly involved in offline cognitive processes such as episodic memory and mental imagery. While structural representations might count as genuine representations, they aren’t distinctively mental representations, for they can be found in all sorts of non-intentional systems such as plants. Thus to explain the kinds of offline cognitive capacities that have motivated talk of mental models, we must develop richer conceptions of mental representation than those provided by the notions of structural and receptor representation.     

Classical population genetics and the semantic approach to scientific theories

In what follows, I argue that the semantic approach to scientific theories fails as a means to present the Wright–Fisher formalism (WFF) of population genetics. I offer an account of what population geneticist understand insofar as they understand the WFF, a variation on Lloyd’s view that population genetics can be understood as a family of models of mid-level generality.     

The Relevance of Social Theory in the Practice of Environmental Management

In this paper I argue that the dominance of certain paradigms and theories on policies can have an influence on the value added by impact assessments. A link exists between paradigms and theories and policies and consequently the practices humans develop to tackle real world problems. I also argue that different types of thinking (contained in paradigms and theories) need to be integrated, at least at the scientific level, to enhance our understanding of social phenomena. This in turn can have a positive influence on policy processes that follow impact assessment recommendations. I am not arguing for the adoption of theoretical positions by practitioners, Instead, I contend that if impact assessments are informed by a variety of paradigms and theories, the policy practitioner might have a better understanding of the issue and the moral choices he or she needs to make. I will highlight the connection between theory and policies with practical examples from the social impact assessment of the De Hoop Dam, which was constructed on the Steelpoort River. I also argue for an integration of different theories to give a deeper understanding of real world problems.