In this paper I explore the extent to which a perspectival understanding of scientific knowledge supports forms of “scientific pluralism.” I will not initially attempt to formulate a general characterization of either perspectivism or scientific pluralism. I assume only that both are opposed to two extreme views. The one extreme is a (monistic) metaphysical realism according to which there is in principle one true and complete theory of everything. The other extreme is a constructivist relativism according to which scientific claims (...) about any reality beyond that of ordinary experience are merely social conventions. (shrink)

This latest volume in the eminent Minnesota Studies in the Philosophy of Science series examines the main features of the intellectual milieu from which logical empiricism sprang, providing the first critical exploration of this context by ...

I begin by arguing that a consistent general naturalism must be understood in terms of methodological maxims rather than metaphysical doctrines. Some specific maxims are proposed. I then defend a generalized naturalism from the common objection that it is incapable of accounting for the normative aspects of human life, including those of scientific practice itself. Evolutionary naturalism, however, is criticized as being incapable of providing a sufficient explanation of categorical moral norms. Turning to the epistemological norms of science itself, particularly (...) those governing the empirical testing of specific models, I argue that these should be regarded as conditional rather than categorical and that, as such, can be given a naturalistic justification. The justification, however, is more cognitive than evolutionary. The historical development of science is found to be a better place for applying evolutionary ideas. After briefly considering the possibility of a naturalistic understanding of mathematics and logic, I turn to the problem of reconciling scientific realism with an evolutionary picture of scientific development. The solution, I suggest, is to understand scientific knowledge as being “perspectival” rather than absolutely objective. I first argue that scientific observation, whether by humans or instruments, is perspectival. This argument is extended to scientific theorizing which is regarded not as the formulation of universal laws of nature but as the construction of principles to be used in the construction of models to be applied to specific natural systems. The application of models, however, is argued to be not merely opportunistic but constrained by the methodological presumption that we live in a world with a definite causal structure even though we can understand it only from various perspectives. (shrink)

While agreeing that cognition in the sciences is usefully thought of as involving processes encompassing both humans and artifacts, I object to attributing cognitive states to extended systems. I argue that cognitive states, such as ?knowing?, should be confined to the human components of cognitive systems. My argument appeals to the large dimensions, both spatial and temporal, of many scientific cognitive systems, the existence of epistemic norms, and the need for agents in science.

Inspired by posthuman feminist theory, this paper explores young people’s entanglement with the bio-technological landscape of image creation and exchange in young networked peer cultures. We suggest that we are seeing new formations of sexual objectification when the more-than-human is foregrounded and the blurry ontological divide between human and machine are enlivened through queer and feminist Materialist analyses. Drawing upon multimodal qualitative data generated with teen boys and girls living in urban inner London and semi-rural Wales we map how the (...) digital affordances of Facebook ‘tagging’ can operate as a form of coercive ‘phallic touch’ in ways that shore up and transgress normative territories of dis/embodied gender, sexuality and age. We conclude by arguing that we need creative approaches that can open up spaces for a posthuman accounting of the material intra-actions through which phallic power relations part-icipate in predictable and unpredictable ways. (shrink)

This article focuses on what bodies know yet which cannot be expressed verbally. We started with a problem encountered during conventional interviewing in an ex-mining community in south Wales when some teen girls struggled to speak. This led us to focus on the body, corporeality and movement in improvisational dance workshops. By slowing down and speeding up video footage from the workshops, we notice movement patterns and speculate about how traces of gender body-movement practices developed within mining communities over time (...) become actualised in girls’ habitual movement repertoires. Inspired by the works of Gilles Deleuze, Felix Guattari and Erin Manning, a series of cameos are presented: room dancing; the hold; the wiggle; the leap and the dance of the not-yet. We speculate about relations between the actual movements we could see, the in-act infused with the history of place, and the virtual potential of movement. (shrink)

The term "humanism" has been used to describe only one eastern philosophy: Confucianism. Commentators on Indian philosophy are sometimes emphatic in their judgment that Hinduism, Buddhism, and Jainism represent the very antithesis of western or Confucian humanism. Heinrich Zimmer is typical: "Humanity ... was the paramount concern of Greek idealism, as it is today of western Christianity in its modern form: but for the Indian sages and ascetics... humanity was no more than the shell to be pierced, shattered, and dismissed." (...) [1] Zimmer goes on to say that the goal of the yogi was "superhuman," even "superdivine," and as such constituted what Zimmer calls the "heresy of Titanism.". (shrink)

Many people assume that the claims of scientists are objective truths. But historians, sociologists, and philosophers of science have long argued that scientific claims reflect the particular historical, cultural, and social context in which those claims were made. The nature of scientific knowledge is not absolute because it is influenced by the practice and perspective of human agents. Scientific Perspectivism argues that the acts of observing and theorizing are both perspectival, and this nature makes scientific knowledge contingent, as Thomas Kuhn (...) theorized forty years ago. Using the example of color vision in humans to illustrate how his theory of “perspectivism” works, Ronald N. Giere argues that colors do not actually exist in objects; rather, color is the result of an interaction between aspects of the world and the human visual system. Giere extends this argument into a general interpretation of human perception and, more controversially, to scientific observation, conjecturing that the output of scientific instruments is perspectival. Furthermore, complex scientific principles—such as Maxwell’s equations describing the behavior of both the electric and magnetic fields—make no claims about the world, but models based on those principles can be used to make claims about specific aspects of the world. Offering a solution to the most contentious debate in the philosophy of science over the past thirty years, Scientific Perspectivism will be of interest to anyone involved in the study of science. (shrink)

Debate over the nature of science has recently moved from the halls of academia into the public sphere, where it has taken shape as the "science wars." At issue is the question of whether scientific knowledge is objective and universal or socially mediated, whether scientific truths are independent of human values and beliefs. Ronald Giere is a philosopher of science who has been at the forefront of this debate from its inception, and Science without Laws offers a much-needed mediating perspective (...) on an increasingly volatile line of inquiry. Giere does not question the major findings of modern science: for example, that the universe is expanding or that inheritance is carried by DNA molecules with a double helical structure. But like many critics of modern science, he rejects the widespread notion of science--deriving ultimately from the Enlightenment--as a uniquely rational activity leading to the discovery of universal truths underlying all natural phenomena. In these highly readable essays, Giere argues that it is better to understand scientists as merely constructing more or less abstract models of limited aspects of the world. Such an understanding makes possible a resolution of the issues at stake in the science wars. The critics of science are seen to be correct in rejecting the Enlightenment idea of science, and its defenders are seen to be correct in insisting that science does produce genuine knowledge of the natural world. Giere is utterly persuasive in arguing that to criticize the Enlightenment ideal is not to criticize science itself, and that to defend science one need not defend the Enlightenment ideal. Science without Laws thus stakes out a middle ground in these debates by showing us how science can be better conceived in other ways. (shrink)

Most recent philosophical thought about the scientific representation of the world has focused on dyadic relationships between language-like entities and the world, particularly the semantic relationships of reference and truth. Drawing inspiration from diverse sources, I argue that we should focus on the pragmatic activity of representing, so that the basic representational relationship has the form: Scientists use models to represent aspects of the world for specific purposes. Leaving aside the terms "law" and "theory," I distinguish principles, specific conditions, models, (...) hypotheses, and generalizations. I argue that scientists use designated similarities between models and aspects of the world to form both hypotheses and generalizations. (shrink)

UNDERSTANDING SCIENTIFIC REASONING develops critical reasoning skills and guides students in the improvement of their scientific and technological literacy. The authors teach students how to understand and critically evaluate the scientific information they encounter in both textbooks and the popular media. With its focus on scientific pedagogy, UNDERSTANDING SCIENTIFIC REASONING helps students learn how to examine scientific reports with a reasonable degree of sophistication. The book also explains how to reason through case studies using the same informal logic skills employed (...) by scientists and to analyze a complex series of propositions and hypotheses using sound scientific reasoning. (shrink)

I argue for an intentional conception of representation in science that requires bringing scientific agents and their intentions into the picture. So the formula is: Agents (1) intend; (2) to use model, M; (3) to represent a part of the world, W; (4) for some purpose, P. This conception legitimates using similarity as the basic relationship between models and the world. Moreover, since just about anything can be used to represent anything else, there can be no unified ontology of models. (...) This whole approach is further supported by a brief exposition of some recent work in cognitive, or usage-based, linguistics. Finally, with all the above as background, I criticize the recently much discussed idea that claims involving scientific models are really fictions. (shrink)

In the first in-depth philosophical study of the subject, Nicholas Gier examines the published and unpublished writings of Ludwig Wittgenstein, to show the striking parallels between Wittgenstein and phenomenology. Between 1929 and 1933, the philosopher proposed programs that bore a detailed resemblance to dominant themes in the phenomenology of Husserl and some “life-world” phenomenologists. This sound, thoroughly readable study examines how and why he eventually moved away from it. Gier demonstrates, however, that Wittgenstein’s phenomenology continues as his “grammar” of the (...) post-1933 works, which continue to present instructive parallels with Heidegger and Merleau-Ponty. (shrink)

Recent feminist theorizing has pointed to a `resurgent patriarchy' within neo-liberal postfeminist times, which re-orders and restabilizes the heterosexual matrix through a politics of `postfeminist masquerade' demanded of girls and women (McRobbie). This paper seeks to complicate this thesis, exploring the regulation and rupture of Butler's `heterosexual matrix' as a complex performative politics through which girls' conflictual relationships with themselves, and other girls and boys are staged and through which dominant versions of tweenage and teenage femininity are reinscribed but also (...) reworked, in race and class specific ways. Drawing on Deleuze and Guattari's powerful conceptual repertoire for disrupting Oedipal logics in Anti-Oedipus, we offer a `molecular mapping', illustrating cracks and ruptures in what is a porous heterosexual matrix, exploring a rhythm of `deterritorializations' and `reterritorializations' of the normative in our respective ethnographic and narrative interviews with girls. We also trace more sustained ruptures of heteronormative femininity drawing upon Deleuze and Guattari's notion of `lines of flight' and Braidotti's concept of `alternative figuration'. We argue ruptures and alternative figurations are not constitutive of total `molar' resistance to norms, but are significant spaces of doing girl differently and crucial to map if we are to perceive the malleability and multiplicity of contemporary girl subjectivities, which exceed heteronormative femininity and phallogocentric desire. (shrink)

Cognitive Models of Science resulted from a workshop on the implications of the cognitive sciences for the philosophy of science held in October 1989 under the ...

In arguing a "role for history," Kuhn was proposing a naturalized philosophy of science. That, I argue, is the only viable approach to the philosophy of science. I begin by exhibiting the main general objections to a naturalistic approach. These objections, I suggest, are equally powerful against nonnaturalistic accounts. I review the failure of two nonnaturalistic approaches, methodological foundationism (Carnap, Reichenbach, and Popper) and metamethodology (Lakatos and Laudan). The correct response, I suggest, is to adopt an "evolutionary perspective." This perspective (...) is defended against one recent critic (Putnam). To argue the plausibility of a naturalistic approach, I next sketch a naturalistic account of theories and of theory choice. This account is then illustrated by the recent revolution in geology. In conclusion I return to Kuhn's question about the role of history in developing a naturalistic theory of science. (shrink)

Among the many contested boundaries in science studies is that between the cognitive and the social. Here, we are concerned to question this boundary from a perspective within the cognitive sciences based on the notion of distributed cognition. We first present two of many contemporary sources of the notion of distributed cognition, one from the study of artificial neural networks and one from cognitive anthropology. We then proceed to reinterpret two well-known essays by Bruno Latour, ‘Visualization and Cognition: Thinking with (...) Eyes and Hands’ and ‘Circulating Reference: Sampling the Soil in the Amazon Forest’. In both cases we find the cognitive and the social merged in a system of distributed cognition without any appeal to agonistic encounters. For us, results do not come to be regarded as veridical because they are widely accepted; they come to be widely accepted because, in the context of an appropriate distributed cognitive system, their apparent veracity can be made evident to anyone with the capacity to understand the workings of the system. (shrink)

In earlier works, I have argued that it is useful to think of much scientific activity, particularly in experimental sciences, as involving the operation of distributed cognitive systems, as these are understood in the contemporary cognitive sciences. Introducing a notion of distributed cognition, however, invites consideration of whether, or in what way, related cognitive activities, such as knowing, might also be distributed. In this paper I will argue that one can usefully introduce a notion of distributed cognition without attributing other (...) cognitive attributes, such as knowing, let alone having a mind or being conscious, to distributed cognitive systems. I will first briefly introduce the cognitive science understanding of distributed cognition, partly so as to distinguish full-blown distributed cognition from mere collective cognition.1. (shrink)

This paper explores a new reason for preferring a model-theoretic approach to understanding the nature of scientific theories. Identifying the models in philosophers' model-theoretic accounts of theories with the concepts in cognitive scientists' accounts of categorization suggests a structure to families of models far richer than has commonly been assumed. Using classical mechanics as an example, it is argued that families of models may be "mapped" as an array with "horizontal" graded structures, multiply hierarchical "vertical" structures, and local "radial" structures. (...) These structures promise important implications for how scientific theories are learned and used in actual scientific practice. (shrink)

In Epistemic Cultures (1999), Karin Knorr Cetina argues that different scientific fields exhibit different epistemic cultures. She claims that in high energy physics (HEP) individual persons are displaced as epistemic subjects in favor of experiments themselves. In molecular biology (MB), by contrast, individual persons remain the primary epistemic subjects. Using Ed Hutchins' (1995) account of navigation aboard a traditional US Navy ship as a prototype, I argue that both HEP and MB exhibit forms of distributed cognition. That is, in both (...) fields cognition is distributed across individual persons and complex artifacts. The cognitive system producing the knowledge is heterogeneous. Nevertheless, in both fields we can reserve epistemic agency for the human components of these systems. We do not need to postulate new distributed cognitive agents, let alone ones exhibiting new forms of consciousness. (shrink)

Morrison points out many similarities between the roles of simulation models and other sorts of models in science. On the basis of these similarities she claims that running a simulation is epistemologically on a par with doing a traditional experiment and that the output of a simulation therefore counts as a measurement. I agree with her premises but reject the inference. The epistemological payoff of a traditional experiment is greater (or less) confidence in the fit between a model and a (...) target system. The source of this payoff is the existence of a causal interaction with the target system. A computer experiment, which does not go beyond the simulation system itself, lacks any such interaction. So computer experiments cannot confer any additional confidence in the fit (or lack thereof) between the simulation model and the target system. (shrink)

There is no best scientific model of anything; there are only models more or less good for different purposes. Thus, there is no general answer to the question of whether one should model biological behavior using computer simulations or robots. It all depends on what one wants to learn. This is not a question about models, but about scientific goals.