Nancy Leys Stepan’s historical analysis of the analogical reasoning used in nineteenth century research on human variation highlights an interesting feature of scientific discourse: metaphors imported from larger society can negatively impact scientific practice. In this paper, I consider the roles of analogical reasoning in scientific practice and demonstrate how it can mislead the scientists relying on it. One way, the problem of ingrained analogy, results when the correspondences of a metaphor become entrenched in the minds of scientists. Previous solutions, (...) offered by Turbayne (1971) and Recker (2004, 2010), lack the resources to address the problem. Thus, I propose introducing novel critique from relevant outsiders as a method to mitigate the power of scientific metaphors to mislead. (shrink)

This paper analyzes three contrasting strategies for modeling intentional agency in contemporary analytic philosophy of mind and action, and draws parallels between them and similar strategies of scientific model-construction. Gricean modeling involves identifying primitive building blocks of intentional agency, and building up from such building blocks to prototypically agential behaviors. Analogical modeling is based on picking out an exemplary type of intentional agency, which is used as a model for other agential types. Theoretical modeling involves reasoning about intentional agency in (...) terms of some domain-general framework of lawlike regularities, which involves no detailed reference to particular building blocks or exemplars of intentional agency. Given the contrasting procedural approaches that they employ and the different types of knowledge that they embody, the three strategies are argued to provide mutually complementary perspectives on intentional agency. (shrink)

Many scholars often use the terms “metaphors,” “analogies,” and “models” interchangeably and inadvertently overlook the uniqueness of each word. According to recent cognitive studies, the three terms involve distinct cognitive processes using features from a familiar concept and applying them to an abstract, complicated concept. In the field of science and religion, there have been various objects or ideas used as metaphors, analogies, or models to describe the science–religion relationship. Although these heuristic tools provided some understanding of the complex interaction, (...) they failed to address the broad nature of science and religion as well as the multifarious relationship between the two in a sociocultural context. Unlike the previous candidates, the concept of language, including the notions of linguistic worldview, linguistic identity, dialects, power, and bilingualism, offers a unique and comprehensive window through which science, religion, and the relationship between the two are seen with clarity. (shrink)

Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...) analogy are discussed in the introductory material. Electronic resources for conducting research on analogy are listed as well. (shrink)

Veritism, the position that truth is necessary for epistemic acceptability, seems to be in tension with the observation that much of our best science is not, strictly speaking, true when interpreted literally. This generates a paradox: truth is necessary for epistemic acceptability; the claims of science have to be taken literally; much of what science produces is not literally true and yet it is acceptable. We frame Elgin’s project in True Enough as being motivated by, and offering a particular resolution (...) to, this paradox. We discuss the paradox with a focus on scientific models and argue that there is another resolution available which is compatible with retaining veritism: rejecting the idea that scientific models should be interpreted literally. (shrink)

This is the second of two articles in which I reflect on “generalized Darwinism” as currently discussed in evolutionary economics. In the companion article (Callebaut, Biol Theory 6. doi: 10.1007/s13752-013-0086-2, 2011, this issue) I approached evolutionary economics from the naturalistic perspectives of evolutionary epistemology and the philosophy of biology, contrasted evolutionary economists’ cautious generalizations of Darwinism with “imperialistic” proposals to unify the behavioral sciences, and discussed the continued resistance to biological ideas in the social sciences. Here I assess Generalized Darwinism (...) as propounded by Geoffrey Hodgson, Thorbjørn Knudsen, and others, concentrating on the roles of theory and model building in science (and the roles of analogy and metaphor therein), generative replication, and the relation between selection and self-organization. I then point to advances in current biology that promise to be more fruitful as sources of inspiration for evolutionary economics than the project to generalize Darwinism in its current, “hardened Modern Synthesis” form; and I draw some conclusions. (shrink)

The language of intentional psychology is commonly used as a means of addressing issues concerning selection. This habit is generally considered an efficient shorthand, but oft-reported misunderstandings leave room for doubt. I stress the general point that efficiency of a mode of expression is an empirical matter, deserving the same treatment, theoretically and methodologically, as other such matters. Mistaken assumptions regarding the relevant cognitive capacities may make for inefficient communication, and discourse about human evolution is a plausible case in point.

Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging from logic and statistics to biology and economics. However, a closer look reveals a complicated picture: entropy is defined differently in different contexts, and even within the same domain different notions of entropy are at work. Some of these are defined in terms of probabilities, others are not. The aim of this chapter is to arrive at an understanding of some of the most important notions (...) of entropy and to clarify the relations between them, After setting the stage by introducing the thermodynamic entropy, we discuss notions of entropy in information theory, statistical mechanics, dynamical systems theory and fractal geometry. (shrink)

Scientific inquiry has led to immense explanatory and technological successes, partly as a result of the pervasiveness of scientific theories. Relativity theory, evolutionary theory, and plate tectonics were, and continue to be, wildly successful families of theories within physics, biology, and geology. Other powerful theory clusters inhabit comparatively recent disciplines such as cognitive science, climate science, molecular biology, microeconomics, and Geographic Information Science (GIS). Effective scientific theories magnify understanding, help supply legitimate explanations, and assist in formulating predictions. Moving from their (...) knowledge-producing representational functions to their interventional roles (Hacking 1983), theories are integral to building technologies used within consumer, industrial, and scientific milieus. -/- This entry explores the structure of scientific theories from the perspective of the Syntactic, Semantic, and Pragmatic Views. Each of these views answers questions such as the following in unique ways. What is the best characterization of the composition and function of scientific theory? How is theory linked with world? Which philosophical tools can and should be employed in describing and reconstructing scientific theory? Is an understanding of practice and application necessary for a comprehension of the core structure of a scientific theory? How are these three views ultimately related? (shrink)

Članak tematizira ulogu kompleksnog mišljenja u razvoju znanstvene spoznaje i mišljenja općenito. Po Vigotskom, kompleksno mišljenje je početna faza u ontogenezi, pa i filogenezi, ljudskog mišljenja i ono je u tom slijedu predpojmovno. Prema istom autoru, ono ima svoju unutarnju genezu koja započinje asocijativnim kompleksima, a završava pseudopojmovima. Kompleksno mišljenje je po svojoj bitifluidno, neograničeno i omogućuje prenošenje značenja. Smatramo da kompleksno mišljenje dolazi do izraza prije svega u uporabi metafora i analogija. Metafore i analogije imaju važnu eksplanatornu i ponekad (...) čak heurističku ulogu u znanstvenom mišljenju. Kompleksno mišljenje dolazi do izražaja na svim razinama i etapama razvoja znanstvenog mišljenja. Metafore mogu biti dijelom kompleksnog mišljenja kao dominantnog načina mišljenja ili u pojmovnoj strukturi kao pomoćni elementi objašnjenja. Analogije predstavljaju izvjesno strukturiranje kompleksnog i pojmovnogmišljenja.Članak tematizira ulogu kompleksnog mišljenja u razvoju znanstvene spoznaje i mišljenja općenito. Po Vigotskom, kompleksno mišljenje je početna faza u ontogenezi, pa i filogenezi, ljudskog mišljenja i ono je u tom slijedu predpojmovno. Prema istom autoru, ono ima svoju unutarnju genezu koja započinje asocijativnim kompleksima, a završava pseudopojmovima. Kompleksno mišljenje je po svojoj bitifluidno, neograničeno i omogućuje prenošenje značenja. Smatramo da kompleksno mišljenje dolazi do izraza prije svega u uporabi metafora i analogija. Metafore i analogije imaju važnu eksplanatornu i ponekad čak heurističku ulogu u znanstvenom mišljenju. Kompleksno mišljenje dolazi do izražaja na svim razinama i etapama razvoja znanstvenog mišljenja. Metafore mogu biti dijelom kompleksnog mišljenja kao dominantnog načina mišljenja ili u pojmovnoj strukturi kao pomoćni elementi objašnjenja. Analogije predstavljaju izvjesno strukturiranje kompleksnog i pojmovnogmišljenja. (shrink)

The function of metaphor in science has been labeled as decorative, persuasive, heuristic, instrumental, facilitating or obstructing. It has sometimes been regarded as inspiring, provoking, perverting or destroying rational thought. Metaphor’s positive role has been noted by philosophers, historians of chemistry, and science education researchers. It has been hailed as a descriptive and explanatory device that stimulates and shapes concept development. I discuss how metaphor functions in science generally, then refine this idea through an examination metaphor’s role in chemical thinking (...) in three contexts: the history and philosophy of chemistry, laboratory research practice, and chemical education. I aim to show how metaphor is already operative in the chemist’s use of the concept of chemical element and that this understanding characterizes chemical thinking in general. The chapter concludes with a discussion of a specifically chemical understanding of metaphor. (shrink)

Since the early nineteenth century a membrane or wall has been central to the cell’s identity as the elementary unit of life. Yet the literally and metaphorically marginal status of the cell membrane made it the site of clashes over the definition of life and the proper way to study it. In this article I show how the modern cell membrane was conceived of by analogy to the first “artificial cell,” invented in 1864 by the chemist Moritz Traube (1826–1894), and (...) reimagined by the plant physiologist Wilhelm Pfeffer (1845–1920) as a precision osmometer. Pfeffer’s artificial cell osmometer became the conceptual and empirical basis for the law of dilute solutions in physical chemistry, but his use of an artificial analogue to theorize the existence of the plasma membrane as distinct from the cell wall prompted debate over whether biology ought to be more closely unified with the physical sciences, or whether it must remain independent as the science of life. By examining how the histories of plant physiology and physical chemistry intertwined through the artificial cell, I argue that modern biology relocated vitality from protoplasmic living matter to nonliving chemical substances—or, in broader cultural terms, that the disenchantment of life was accompanied by the (re)enchantment of ordinary matter. (shrink)