By briefly reviewing three well-known scientific revolutions in fundamental physics (the discovery of inertia, of special relativity and of general relativity), I claim that problems that were supposed to be crying for a dynamical explanation in the old paradigm ended up receiving a structural explanation in the new one. This claim is meant to give more substance to Kuhn’s view that revolutions are accompanied by a shift in what needs to be explained, while suggesting at the same time the existence (...) of a pattern that is common to all of the discussed case-studies. It remains to be seen whether also quantum mechanics, in particular entanglement, conforms to this pattern. (shrink)

In this paper I criticize Toulmin's concept of Ideals of Natural Order and his account of the role these Ideals play in scientific explanation as given in his book, Foresight and Understanding. I argue that Toulmin's account of Ideals of Natural Order as those theories taken to be self evident by scientists at a given time introduces an undesirable subjectivism into his account of scientific explanation. I argue also that the history of science, especially the recent history of microphysics, does (...) not support Toulmin's contentions about the supposed self-evidence of the basic explanatory theories in science. (shrink)

Philosophers agree that scientific explanations aim to produce understanding, and that good ones succeed in this aim. But few seriously consider what understanding is, or what the cues are when we have it. If it is a psychological state or process, describing its specific nature is the job of psychological theorizing. This article examines the role of understanding in scientific explanation. It warns that the seductive, phenomenological sense of understanding is often, but mistakenly, viewed as a cue of genuine understanding. (...) The article closes with a discussion of several new paths of research that tie the psychology of scientific explanation to cognate notions of learning, testimony, and understanding. (shrink)

In this paper we will offer a few examples to illustrate the orientation of contemporary research in data analysis and we will investigate the corresponding role of mathematics. We argue that the modus operandi of data analysis is implicitly based on the belief that if we have collected enough and sufficiently diverse data, we will be able to answer most relevant questions concerning the phenomenon itself. This is a methodological paradigm strongly related, but not limited to, biology, and we label (...) it the microarray paradigm. In this new framework, mathematics provides powerful techniques and general ideas which generate new computational tools. But it is missing any explicit isomorphism between a mathematical structure and the phenomenon under consideration. This methodology used in data analysis suggests the possibility of forecasting and analyzing without a structured and general understanding. This is the perspective we propose to call agnostic science, and we argue that, rather than diminishing or flattening the role of mathematics in science, the lack of isomorphisms with phenomena liberates mathematics, paradoxically making more likely the practical use of some of its most sophisticated ideas. (shrink)

Knowledge of many facts does not amount to understanding unless one also has a sense of how the facts fit together. This aspect of coherence among scientific observations and theories is usually overlooked in summaries of scientific method, since the emphasis is on justification and verification rather than on understanding. I argue that the inter-theoretic coherence, as the hallmark of understanding, is an essential and informative component of any accurate description of science.

Recently, a book was published, the sole purpose of which was to discourage researchers from using the scientific phenomenological method. The author had previously been critical of nurses who had used the scientific phenomenological method but in the new book he goes after the originators of different methods of scientific phenomenological research and attempts to criticize them severely. In this review I defend only the scientific phenomenological method that is strictly based upon the thought of Edmund Husserl. Given the entirely (...) negative project of only critiquing phenomenologically grounded scientific research, one would expect the author to be sensitive to the cautions historians and philosophers of science speak about when one attempts to criticize concepts and procedures that belong to a different research community. Paley, an empiricist, uses empirical criteria to criticize phenomenological work.Moreover, given the entirely negative project of critiquing phenomenologically grounded scientific research one would expect the author to be knowledgeable about phenomenology and the innovative research practices used by a new research community. However, the author has only a thin, superficial understanding of phenomenology. One gets the impression that he only reads phenomenology in order to critique it. He displays an outsider’s understanding of it which means that his criticisms of it are faulty because he does not know how to think and dwell within the phenomenological framework; he does not understand “discovery-oriented” research and he keeps judging such research according to criteria from the “context of verification” perspective which are the wrong criteria for “discovery-oriented” research; he denigrates and reduces nursing research strategies because he interprets them to be based on pragmatic motivations only. He does not even grant that nurses can have authentic scientific motivations for seeking phenomenologically based methods; he uses unfair rhetorical strategies in the sense that he uses strategies himself that he criticizes when others use them. The review below documents what has been summarized here. (shrink)

An explicit philosophy and meta-philosophy of positivism, empiricism and popperianism is provided. Early popperianism is argued to be essentially a form of empiricism, the deviations from empiricism are traced. In contrast, the meta-philosophy and philosophy of an evolutionary naturalistic realism is developed and it is shown how the maximal conflict of this doctrine with all forms of empiricism at the meta-philosophical level both accounts for the form of its development at the philosophical level and its defense against attack from nonrealist (...) quarters. Following an earlier article on realism of similar theme (Synthese 26 (1974), 409) this paper then further explores the ramifications of a thoroughgoing realist position. (shrink)

In this article I am going to reconstruct Stephen Toulmin’s procedural theory of concepts and explanations in order to develop two overlooked ideas from his philosophy of science: methods of representations and inferential techniques. I argue that these notions, when properly articulated, could be useful for shedding some light on how scientific reasoning is related to representational structures, concepts, and explanation within scientific practices. I will explore and illustrate these ideas by studying the development of the notion of instantaneous speed (...) during the passage from Galileo’s geometrical physics to analytical mechanics. At the end, I will argue that methods of representations could be considered as constitutive of scientific inference; and I will show how these notions could connect with other similar ideas from contemporary philosophy of science like those of models and model-based reasoning. (shrink)

In this paper, I propose that the debate in epistemology concerning the nature and value of understanding can shed light on the role of scientific idealizations in producing scientific understanding. In philosophy of science, the received view seems to be that understanding is a species of knowledge. On this view, understanding is factive just as knowledge is, i.e., if S knows that p, then p is true. Epistemologists, however, distinguish between different kinds of understanding. Among epistemologists, there are those who (...) think that a certain kind of understanding—objectual understanding—is not factive, and those who think that objectual understanding is quasi-factive. Those who think that understanding is not factive argue that scientific idealizations constitute cognitive success, which we then consider as instances of understanding, and yet they are not true. This paper is an attempt to draw lessons from this debate as they pertain to the role of idealizations in producing scientific understanding. I argue that scientific understanding is quasi-factive. (shrink)

Genetic epistemology analyzes the growth of knowledge both in the individual person (genetic psychology) and in the socio-historical realm (the history of science). But what the relationship is between the history of science and genetic psychology remains unclear. The biogenetic law that ontogeny recapitulates phylogeny is inadequate as a characterization of the relation. A critical examination of Piaget's Introduction à l'Épistémologie Généntique indicates these are several examples of what I call stage laws common to both areas. Furthermore, there is at (...) least one example of a paradoxical inverse relation between the two — geometry. Both similarities and differences between the two domains require an explanation, a developmental explanation. Although such an explanation seems to be psychological in nature, it is not merely empirical but also normative (since psychology is both factual and normative according to Piaget). Hence genetic epistemology need not be reduced to psychology (narrowly conceived), but rather should be seen as being both empirical and normative and thus similar to certain types of contemporary philosophy of science. (shrink)

Over the past hundred years, a number of scientific investigators claim to have adduced experimental evidence for phenomena information” seems to behave like a weak signal that has to compete for the information-processing resources of the organism, a reduction of ongoing sensorimotor activity may facilitate ESP detection. Such a meaningful convergence of results suggests that psi phenomena may represent a unitary, coherent process whose nature and compatibility with current physical theory have yet to be determined. The theoretical implications and potential (...) practical applications of psi could be significant, irrespective of the small magnitude of psi effects in laboratory settings. (shrink)

Imre Lakatos gained fame in the English-speaking world as a follower and critic of philosopher of science Karl Popper. However, Lakatos’ background involved other philosophical and scientific sources from his native Hungary. Lakatos surreptitiously used Hegelian Marxism in his works on philosophy of science and mathematics, disguising it with the rhetoric of the Popper school. He also less surreptitiously incorporated, particularly in his treatment of mathematics, work of the strong tradition of heuristics in twentieth century Hungary. Both his Marxism and (...) his emphasis on heuristics contained a view of science and mathematics that contrasted with the mainstream of Anglo-American philosophy of science. Both involved a dynamic view of science, whether historical or psychological, and an emphasis on practice as opposed to static, formal representations of scientific theories. (shrink)

In this paper I propose a type-hierarchy approach to provide an intersubjective framework for the evaluation of evolutionary analogies. This approach develops David Hull’s and others’ attempts to provide full generalisation for selection processes, in order to show that sociocultural development and, particularly, scientific change can be considered as an instance of Darwinian selection. I argue that the recent work by Eileen Cornell Way on type hierarchies can offer the kind of generalisation needed to solve the main problems that still (...) affect Hull’s theory and to show that the evolutionary analogy is, after all, only a particular way of grouping phenomena together. If Hull’s main objective is a unified theory of selection, which supports the idea that science selection and natural selection obey the same laws, I also argue that the type hierarchy approach to models shows that this objective is unsustainable as it stands, and is in need of further development. I will firstly introduce the general outline of the type hierarchy approach to models. Then, after a brief recapitulation of Hull’s main points and difficulties, I will try and construct a hierarchy for a general abstraction of selection processes. Finally I will introduce the main criticisms that Hull’s work has faced from philosophers and scientists, and show how they compare with my proposal. (shrink)

This is a comment on Peter Godfrey-Smith’s, “Models and Fictions in Science”. The comments explore problems he raises if we treat model systems as fictions in a naturalized and deflationary framework.

I address some specific problems in the two target articles offered here (Rao and Palmer/Alcock: Parapsychology review and critique), which are indicative of more general problems that plague the larger debate. Because such problems are rather typical of scientific conflict, I address general problems of assessment in a second section. In a final section. I make some comments about the future of this debate.

The hypothesis that our current psychological forms of description and explanation will one day be replaced by biological ones, while not universally held, is wide-spread and highly influential in both the scientific community and the broader culture. The purpose of this paper is to examine this hypothesis. It will be argued that, while biology has had and will undoubtedly continue to have many extremely valuable and illuminating findings, it cannot and will not replace psychological explanations and concepts in our understanding, (...) scientific and otherwise, of human behavioral phenomena. That is to say, the science of biology will not replace or subsume that of psychology. 2012 APA, all rights reserved). (shrink)