We describe here recent work on the molecular genetics of mitosis in the filamentous fungus Aspergillus nidulans. Aspergillus is one of three simple eukaryotes with powerful genetic systems that have been used to analyze mitosis. The modern molecular biological techniques available with this organism have made it possible to use mutations to identify genes and proteins that play an important role in mitosis. Three Aspergillus genes that affect mitosis are described. One gene, nimA, is specifically expressed late in the cell (...) cycle and codes for a putative protein kinase that induces mitosis, even in cells blocked in S‐phase. The second gene, bimG, codes for a putative phosphatase that interacts functionally with the nimA kinase. The third gene, bimE, codes for a protein that suppresses mitosis during interphase, apparently by keeping nimA turned off. None of these genes appear to be similar to any of the genes affecting mitosis that have been characterized in other eukaryotes, but rather appear to be elements of a system that prevents mitosis from occurring during interphase. (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)

This paper is a contribution to that part of science studies known as 'the cognitive study of science'. The general goal of such studies is to understand cogni-.

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)

Scientific realism is a doctrine that was both in and out of fashion several times during the twentieth century. I begin by noting three presuppositions of a succinct characterization of scientific realism offered initially by the foremost critic in the latter part of the century, Bas van Fraassen. The first presupposition is that there is a fundamental distinction to be made between what is “empirical” and what is “theoretical”. The second presupposition is that a genuine scientific realism is committed to (...) their being “a literally true story of what the world is like”. The third presupposition is that there are methods for justifying a belief in the empirical adequacy of a theory which do not also suffice to justify beliefs in its literal truth. Each of these presuppositions raises a number of problems, some of which are quite old and others rather newer. In each case, I briefly review some of the old problems and then elaborate the newer problems. (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 book consists thematically of three broad sections: a lengthy introduction in which Grünbaum critically assesses the hermeneutic construal of psychoanalysis, as represented in the work of Habermas, G. S. Klein, and Ricoeur; a critical examination of Popper's assessment of both psychoanalysis and inductivism; and a logical analysis of core psychoanalytic ideas that constitute the foundation for much of psychoanalytic theory. This last section is, in my view, the heart of the book and therefore, it is that section on which (...) I will focus in this review. (shrink)

Some decades ago, Fred Suppe (1974, p. 3) remarked that “it is only a slight exaggeration to claim that a philosophy of science is little more than an analysis of theories and their roles in the scientific enterprise.” The truth of this remark is attested by the fact that so many topics in contemporary philosophy of science continue to be framed in terms of theories. The issue of realism and instrumentalism, for example, is typically understood as the question of whether (...) various terms in statements making up scientific theories refer to real objects or merely serve the role of facilitating inferences among claims about observations (see realism and instrumentalism). Again, reduction has often been seen as depending on whether statements in one theory can be logically deduced from those in another theory (see reductionism). Similarly, scientific change has been understood as the replacement of one theory by another (see scientific change). Finally, relativism is typically portrayed as the view that the choice of one theory over another has no “objective” or “rational” basis, but depends merely on the interests of those with the power to enforce their decision (see relativism). In fact, the framing of these and many other issues not only centers on relationships involving theories, it often presumes a particular account of the general nature of theories. (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)

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 ...

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)

Understanding Scientific Reasoning, Fifth Edition, 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 analyse a complex series of propositions and hypotheses using sound scientific reasoning--Publisher's blurb. (shrink)

The argument that recent attempts to model technology studies on science studies have consequences for approaches to science studies as well is presented. In particular, the move to technology studies through science studies counts against the existing extreme pictures of science, "enlightenment rationalism," and "constructivisim," which are identified with modernism and postmodernism, respectively. Some components for a moderate "enlightened post-modern synthesis" in naturalism, interest theory, and systems theory are found.

In previous publications I have argued that much scientific activity should be thought of as involving the operation of distributed cognitive systems. Since these contributions to the cognitive study of science appear in venues not necessarily frequented by philosophers of science, I begin with a brief introduction to the notion of a distributed cognitive system. I then describe what I take to be an exemplary case of a scientific distributed cognitive system, the Hubble Space Telescope (HST). I do not here (...) reargue the case for conceiving of systems like the HST as distributed cognitive systems. Rather, I examine a question that arises once one has adopted the perspective of distributed cognitive systems, namely, the role of agency in a distributed cognitive system. Here I argue, contrary to several advocates of distributed cognitive systems, that we should regard the human components of distributed cognitive systems as the only sources of agency within such systems. In particular, we should not extend notions of agency to such systems as a whole. (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.

Let me begin by summarizing my understanding of some of Hersch’s main points. He proposes 1) that “the use of existential themes and concepts” and “an existential ontology provides a more suitable philosophical grounding for psychotherapeutic theories and practices”; and 2) that “an existential version of the mental status examination… can provide us with a more in-depth understanding of…an individual’s experiential world”. According to Hersch, an existential perspective directs our attention to the existential guilt and anxiety “present inherently in the (...) human situation”. The former, “existential guilt,” “is a kind of.. (shrink)

Even those generally skeptical of propensity interpretations of probability must now grant the following two points. First, the above single-case propensity interpretation meets recognized formal conditions for being a genuine interpretation of probability. Second, this interpretation is not logically reducible to a hypothetical relative frequency interpretation, nor is it only vacuously different from such an interpretation.The main objection to this propensity interpretation must be not that it is too vague or vacuous, but that it is metaphysically too extravagant. It asserts (...) not only that there are physical possibilities in nature, but further that nature itself contains innate tendencies toward these possibilities, tendencies which have the logical structure of probabilities. Thus the basic dispute between advocates of an actualist relative frequency interpretation and a single-case propensity interpretation is not a matter of epistemology, but metaphysics. The frequency theorist wishes to maintain that claims about physical probabilities are nothing more than claims about relative frequencies that will occur in the actual history of the world, be it infinite or no. It is a substantial, though hardly conclusive, argument for the propensity view that the mathematical structures commonly employed in studies of stochastic processes and statistical inference are richer than can be accommodated by a relative frequency interpretation. Whether it is possible to bridge this gap without going beyond an actualist metaphysics remains to be seen.38. (shrink)

Morris N. Eagle explores the understanding and role of subjective experience in the disciplines of psychology, psychoanalysis, and philosophy of mind. Elaborating how different understandings of subjective experience give rise to very different theories of the nature of the mind, Eagle then explains how these shape clinical practices. In particular, Eagle addresses the strong tendency in the disciplines concerned with the nature of the mind to overlook the centrality of subjective experience in one's life, to view it with suspicion, (...) and to reduce it to neural processes. Describing examples of research in which subjective experience is a central variable, Eagle provides an outline of a model in which the dichotomy of conscious and unconscious is supplemented by subjective experience as a continuum. This book is essential reading for psychoanalysts, psychoanalytic psychotherapists, psychologists and anyone wishing to gain a deeper understanding of the importance of theories of the mind to therapeutic practice. (shrink)

In this essay I argue that T. S. Kuhn, at least in his later works, can be regarded as a perspectival realist. This is a retrospective interpretation based mainly on the essays published posthumously under the title The Road Since Structure (Kuhn 2000). Among the strongest grounds for this interpretation is that Kuhn explicitly states that one must have a “lexicon” in place before raising questions about the truth or falsity of claims made using elements of the lexicon. This, in (...) a linguistic framework, can be understood as an affirmation of perspectival realism. The essay concludes with an examination of Donald Davidson’s famous paper, “On The Very Idea of a Conceptual Scheme,” arguing, along lines Kuhn himself suggested, that Davidson’s presentation is no threat to his notion of a conceptual scheme, or, I would add, a theoretical perspective. (shrink)

I contend that Janet Kourany's "A Philosophy of Science for the Twenty-First Century" contains three levels of projects: (1) a naturalistic project, (2) a critical project, and (3) a political project. The naturalistic project is already well established. The critical project is less valued and less established within the profession, but seems a worthy and achievable goal. The political project, I argue, takes one outside the professional pursuit of the philosophy of science. The critical project encompasses both the evaluation of (...) scientific research programs and of empirical conclusions. I contend that the former is widely acknowledged as legitimate while the latter is unacceptable. (shrink)

My concern is with the possible implications of research in developmental psychology for understanding the workings of modern science. I agree both with Gopnik's general naturalistic orientation and with her more specific claims about scientists as cognitive agents. Neither the formal structure of propositions nor the social structure of scientific communities provides sufficient resources for the understanding we seek. So I agree that the empirical study of human cognition is not only relevant, but necessary, for understanding how science works.

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.

The principles and practices of research peer review are described. While the principles are fundamentally generic and apply to peer review across the full spectrum of performing institutions as well as to manuscript/proposal/program peer review, the focus of this paper is peer review of proposed and ongoing programs in federal agencies. The paper describes desireable characteristics and important intangible factors in successful peer review. Also presented is a heuristic protocol for the conduct of successful peer review research evaluations and impact (...) assessments. Problems with peer review are then outlined, followed by examples of peer review of proposed and existing programs in selected federal agencies. Some peer review variants, such as the Science Court, are described, and then research requirements to improve peer review are discussed. (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)

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)

The similarity of documents in a large database of published Fractals articles was examined for redundancy. Three different text matching techniques were used on published Abstracts to identify redundancy candidates, and predictions were verified by reading full text versions of the redundancy candidate articles. A small fraction of the total articles in the database was judged to be redundant. This was viewed as a lower limit, because it excluded cases where the concepts remained the same, but the text was altered (...) substantially.Far more pervasive than redundant publications were publications that did not violate the letter of redundancy but rather violated the spirit of redundancy. There appeared to be widespread publication maximization strategies. Studies that resulted in one comprehensive paper decades ago now result in multiple papers that focus on one major problem, but are differentiated by parameter ranges, or other stratifying variables. This ‘paper inflation’ is due in large part to the increasing use of metrics (publications, patents, citations, etc) to evaluate research performance, and the researchers’ motivation to maximize the metrics. (shrink)

The similarity of documents in a large database of published Fractals articles was examined for redundancy. Three different text matching techniques were used on published Abstracts to identify redundancy candidates, and predictions were verified by reading full text versions of the redundancy candidate articles. A small fraction of the total articles in the database was judged to be redundant. This was viewed as a lower limit, because it excluded cases where the concepts remained the same, but the text was altered (...) substantially. Far more pervasive than redundant publications were publications that did not violate the letter of redundancy but rather violated the spirit of redundancy. There appeared to be widespread publication maximization strategies. Studies that resulted in one comprehensive paper decades ago now result in multiple papers that focus on one major problem, but are differentiated by parameter ranges, or other stratifying variables. This ‘paper inflation’ is due in large part to the increasing use of metrics (publications, patents, citations, etc) to evaluate research performance, and the researchers’ motivation to maximize the metrics. (shrink)