Scientific reasoning is—and ought to be—conducted in accordance with the axioms of probability. This Bayesian view—so called because of the central role it accords to a theorem first proved by Thomas Bayes in the late eighteenth ...

A scientific community cannot practice its trade without some set of received beliefs. These beliefs form the foundation of the "educational initiation that prepares and licenses the student for professional practice". The nature of the "rigorous and rigid" preparation helps ensure that the received beliefs are firmly fixed in the student's mind. Scientists take great pains to defend the assumption that scientists know what the world is like...To this end, "normal science" will often suppress novelties which undermine its foundations. Research (...) is therefore not about discovering the unknown, but rather "a strenuous and devoted attempt to force nature into the conceptual boxes supplied by professional education". (shrink)

Thomas S. Kuhn's classic book is now available with a new index.

: The increasing attention on experiment in the last two decades has led to important insights into its material, cultural and social dimensions. However, the role of experiment as a tool for generating knowledge has been comparatively poorly studied. What questions are asked in experimental research? How are they treated and eventually resolved? And how do questions, epistemic situations, and experimental activity cohere and shape each other? In my paper, I treat these problems on the basis of detailed studies of (...) research practice. After presenting several cases from the history of electricity—Dufay, Ampère, and Faraday—I discuss a specific type of experiment—the "exploratory experiment"—and analyze how it works in concept formation. I argue that a fuller understanding of experiment can only be achieved by intertwining historical and philosophical perspectives in such a way that the very separation of the two become questioable. (shrink)

(This insularity was further promoted by the guileless duplicity of scholars in other fields, who were all too prepared to bequeath "the problem of ...

In this paper, I present a simple and straightforward logic of induction: a consequence relation characterized by a proof theory and a semantics. This system will be called LI. The premises will be restricted to, on the one hand, a set of empirical data and, on the other hand, a set of background generalizations. Among the consequences will be generalizations as well as singular statements, some of which may serve as predictions and explanations.

In this paper, I examine an experimental technique, gene targeting, used for establishing genotype/phenotype relationships. Through analyzing a case study, I identify many pitfalls that may lead to false conclusions about these relationships. I argue that some of these pitfalls may seriously affect gene targeting's usefulness for associating phenotypes with genes cataloged by the Human Genome Project. This case also shows the use of gene targeted mice as model systems for studying genotype/phenotype relationships in humans. Moreover, I argue that it (...) reveals the weakness of one attempt to draw conclusions about the biological determination of sexual and aggressive behaviors in humans. (shrink)

In this paper I respond to Wim van der Steen''s arguments against the supposed current overemphasis on norms ofcoherence andinterdisciplinary integration in biology. On the normative level, I argue that these aremiddle-range norms which, although they may be misapplied in short-term attempts to solve (temporarily?) intractable problems, play a guiding role in the longer-term treatment of biological problems. This stance is supported by a case study of apartial success story, the development of the one gene — one enzyme hypothesis. As (...) that case shows, thegoal of coherent interdisciplinary integration not only provides guidance for research, but also provides the standard for recognizingfailed integrations of the sort that van der Steen criticizes. (shrink)

In biology proteins are uniquely important. They are not to be classed with polysaccharides, for example, which by comparison play a very minor role. Their nearest rivals are the nucleic acids....The main function of proteins is to act as enzymes....In the protein molecule Nature has devised a unique instrument in which an underlying simplicity is used to express great subtlety and versatility; it is impossible to see molecular biology in proper perspective until this peculiar combination of virtues has been clearly (...) grasped. (shrink)

Biology deals, notoriously, with complex systems. In discussing biological methodology, all three papers in this symposium honor the complexity of biological subject matter by preferring models and theories built to reflect the details of complex systems to models based on broad general principles or laws. Rheinberger's paper, the most programmatic of the three, provides a framework for the epistemology of discovery in complex systems. A fundamental problem is raised for Rheinberger's epistemology, namely, how to understand the referential continuity of the (...) theoretical terms and concepts employed in typical case studies involving complex systems. (shrink)

In Experiment, Right or Wrong, Allan Franklin continues his investigation of the history and philosophy of experiment presented in his previous book, The Neglect of Experiment. Using a combination of case studies and philosophical readings of those studies, Franklin again addresses two important questions: What role does and should experiment play in the choice between competing theories and in the confirmation or refutation of theories and hypotheses? How do we come to believe reasonably in experimental results? Experiment, Right or Wrong (...) makes a significant contribution to an important area in contemporary history and philosophy of science. Philosophers and historians of science, physicists, and advanced students in these areas will find much of interest in this engaging study. (shrink)

The role of pictures and visual modes of presentation of data in science is a topic of increasing interest to workers in artificial intelligence, problem solving, and scientists in all fields who must deal with large quantities of complex multidimensional data. Drawing on studies of animal motion, aerodynamics, morphological transformations, the history of linkage mapping, and the analysis of deterministic chaos, I focus on the strengths and limitations of our visual system, the analysis of problems particularly suited to visualization-the analysis (...) of similarities and differences between complex objects, and problems making conjoint use of information from several complex images. (shrink)

Rasmussen (1993) argues that, because electron microscopists did not use robustness and would not have been warranted in using it as a criterion for the reality or the artifactuality of mesosomes, the bacterial mesosome serves as a test case for robustness that it fails. I respond by arguing that a more complete reading of the research literature on the mesosome shows that ultimately the more robust body of data did not support the mesosome and that electron microscopists used and were (...) warranted in using robustness as a criterion for the artifactuality of mesosomes. (shrink)